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47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAAASUVORK5CYII=3D" width=3D"77" heigh= t=3D"28" alt=3D"" style=3D"margin-left:443.3pt; position:absolute" /></span= ><span class=3D"awspan" style=3D"font-size:18pt; font-weight:bold">Paradigm= as Vs. M=C3=A9todos: Uma abordagem metodol=C3=B3gica sobre o processo de to= mada de decis=C3=A3o dos investigadores</span></p><p class=3D"awdiv" style= =3D"font-size:14pt"><span class=3D"awspan" style=3D"font-size:14pt; font-st= yle:italic">Paradigms Vs. Methods: A Methodological Approach to the Decisio= n-Making Process of Researchers</span></p><p class=3D"awdiv" style=3D"font-= size:6.5pt"><span class=3D"awspan" style=3D"font-size:6.5pt; font-weight:bo= ld">1</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"= awspan" style=3D"font-size:10pt">Manuel Orlando Capuma</span></p><p class= =3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-si= ze:10pt">https://orcid.org/0009-0002-7906-720X</span></p><p class=3D"awdiv"= style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt">D= outor em Ci=C3=AAncias da Educa=C3=A7=C3=A3o, Universidade Rainha Njinga A = Mbande, Malanje, Angola.</span></p><p class=3D"awdiv"><a href=3D"mailto:man= uelorlando180@uninjingambande.ed.ao" style=3D"text-decoration:none"><span c= lass=3D"awspan" style=3D"font-size:10pt; text-decoration:underline; color:#= 0563c1">manuelorlando180@uninjingambande.ed.ao</span></a></p><p class=3D"aw= div" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-size:10p= t; font-weight:bold">Art=C3=ADculo de Investigaci=C3=B3n Cient=C3=ADfica y = Tecnol=C3=B3gica</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><spa= n class=3D"awspan" style=3D"font-size:10pt">Enviado: 16/01/2025</span></p><= p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"= font-size:10pt">Revisado: 10/02/2025</span></p><p class=3D"awdiv" style=3D"= font-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt">Aceptado: 0= 5/03/2025</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class= =3D"awspan" style=3D"font-size:10pt">Publicado:05/04/2025</span></p><p clas= s=3D"awdiv" style=3D"font-size:11pt"><span class=3D"awspan" style=3D"font-s= ize:10pt">DOI:</span><span class=3D"awspan" style=3D"font-family:Calibri; f= ont-size:11pt"> </span><a href=3D"https://doi.org/10.33262/ct.v4i2.66" styl= e=3D"text-decoration:none"></a></p><p class=3D"awdiv" style=3D"font-size:10= pt"><a href=3D"https://doi.org/10.33262/ct.v4i2.66" style=3D"text-decoratio= n:none"><span class=3D"awspan" style=3D"font-size:10pt; font-weight:bold; t= ext-decoration:underline; color:#0563c1">https://doi.org/10.33262/ct.v4i2.6= 6</span></a></p><p style=3D"font-size:10pt"><span class=3D"awspan" style=3D= "font-family:Calibri; font-size:10pt"> </span></p><p class=3D"awdiv"><= span class=3D"awspan" style=3D"font-weight:bold">C=C3=ADtese:</span><span c= lass=3D"awspan"> </span></p><p class=3D"awdiv" style=3D"font-size:10pt"><sp= an class=3D"awspan" style=3D"font-size:10pt">Orlando</span><span class=3D"a= wspan" style=3D"font-size:10pt; letter-spacing:1.15pt"> </span><span class= =3D"awspan" style=3D"font-size:10pt">Capuma,</span><span class=3D"awspan" s= tyle=3D"font-size:10pt; letter-spacing:1.15pt"> </span><span class=3D"awspa= n" style=3D"font-size:10pt">M.</span><span class=3D"awspan" style=3D"font-s= ize:10pt; letter-spacing:1.15pt"> </span><span class=3D"awspan" style=3D"fo= nt-size:10pt">(2025).</span><span class=3D"awspan" style=3D"font-size:10pt;= letter-spacing:1.15pt"> </span><span class=3D"awspan" style=3D"font-size:1= 0pt">Paradigmas</span><span class=3D"awspan" style=3D"font-size:10pt; lette= r-spacing:1.15pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">V= s.</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:1.1= 5pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">M=C3=A9todos:<= /span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:1.15pt= "> </span><span class=3D"awspan" style=3D"font-size:10pt">Uma</span><span c= lass=3D"awspan" style=3D"font-size:10pt; letter-spacing:1.15pt"> </span><sp= an class=3D"awspan" style=3D"font-size:10pt">abordagem</span><span class=3D= "awspan" style=3D"font-size:10pt; letter-spacing:1.15pt"> </span><span clas= s=3D"awspan" style=3D"font-size:10pt">metodol=C3=B3gica sobre o processo de= tomada de decis=C3=A3o dos investigadores. Ciencia & Turismo, 4(2), 12= 6-138. </span><a href=3D"https://doi.org/10.33262/ct.v4i2.66" style=3D"text= -decoration:none"></a></p><p class=3D"awdiv" style=3D"font-size:10pt"><a hr= ef=3D"https://doi.org/10.33262/ct.v4i2.66" style=3D"text-decoration:none"><= span class=3D"awspan" style=3D"font-size:10pt; text-decoration:underline; c= olor:#0563c1">https://doi.org/10.33262/ct.v4i2.66</span></a></p><p class=3D= "awdiv" style=3D"font-size:8pt"><span class=3D"awspan" style=3D"font-size:8= pt; font-weight:bold; font-style:italic">CIENCIA</span><span class=3D"awspa= n" style=3D"font-size:8pt; font-weight:bold; font-style:italic; letter-spac= ing:0.7pt"> </span><span class=3D"awspan" style=3D"font-size:8pt; font-weig= ht:bold; font-style:italic">&</span><span class=3D"awspan" style=3D"fon= t-size:8pt; font-weight:bold; font-style:italic; letter-spacing:0.7pt"> </s= pan><span class=3D"awspan" style=3D"font-size:8pt; font-weight:bold; font-s= tyle:italic">TURISMO,</span><span class=3D"awspan" style=3D"font-size:8pt; = font-weight:bold; font-style:italic; letter-spacing:0.7pt"> </span><span cl= ass=3D"awspan" style=3D"font-size:8pt; font-style:italic">e</span><span cla= ss=3D"awspan" style=3D"font-size:8pt">s</span><span class=3D"awspan" style= =3D"font-size:8pt; letter-spacing:0.7pt"> </span><span class=3D"awspan" sty= le=3D"font-size:8pt">una</span><span class=3D"awspan" style=3D"font-size:8p= t; letter-spacing:0.7pt"> </span><span class=3D"awspan" style=3D"font-size:= 8pt">revista</span><span class=3D"awspan" style=3D"font-size:8pt; letter-sp= acing:0.7pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">multidi= sciplinaria,</span><span class=3D"awspan" style=3D"font-size:8pt; letter-sp= acing:0.7pt"> </span><span class=3D"awspan" style=3D"font-size:8pt; font-we= ight:bold">t</span><span class=3D"awspan" style=3D"font-size:8pt">rimestral= ,</span><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.7pt= "> </span><span class=3D"awspan" style=3D"font-size:8pt">que</span><span cl= ass=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.7pt"> </span><span = class=3D"awspan" style=3D"font-size:8pt">se</span><span class=3D"awspan" st= yle=3D"font-size:8pt; letter-spacing:0.7pt"> </span><span class=3D"awspan" = style=3D"font-size:8pt">publicar=C3=A1</span><span class=3D"awspan" style= =3D"font-size:8pt; letter-spacing:0.7pt"> </span><span class=3D"awspan" sty= le=3D"font-size:8pt">en</span><span class=3D"awspan" style=3D"font-size:8pt= ; letter-spacing:0.7pt"> </span><span class=3D"awspan" style=3D"font-size:8= pt">soporte</span><span class=3D"awspan" style=3D"font-size:8pt; letter-spa= cing:0.7pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">electr= =C3=B3nico tiene como misi=C3=B3n</span><span class=3D"awspan" style=3D"fon= t-size:8pt; font-weight:bold"> </span><span class=3D"awspan" style=3D"font-= size:8pt">contribuir a la</span><span class=3D"awspan" style=3D"font-size:8= pt">  </span><span class=3D"awspan" style=3D"font-size:8pt"> </sp= an><span class=3D"awspan" style=3D"font-size:8pt">formaci=C3=B3n de profesi= onales competentes con visi=C3=B3n human=C3=ADstica y cr=C3=ADtica que sean= </span><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt= "> </span><span class=3D"awspan" style=3D"font-size:8pt">capaces</span><spa= n class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </span><= span class=3D"awspan" style=3D"font-size:8pt">de</span><span class=3D"awspa= n" style=3D"font-size:8pt; letter-spacing:1.55pt"> </span><span class=3D"aw= span" style=3D"font-size:8pt">exponer</span><span class=3D"awspan" style=3D= "font-size:8pt; letter-spacing:1.55pt"> </span><span class=3D"awspan" style= =3D"font-size:8pt">sus</span><span class=3D"awspan" style=3D"font-size:8pt;= letter-spacing:1.55pt"> </span><span class=3D"awspan" style=3D"font-size:8= pt">resultados</span><span class=3D"awspan" style=3D"font-size:8pt; letter-= spacing:1.55pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">inve= stigativos</span><span class=3D"awspan" style=3D"font-size:8pt; letter-spac= ing:1.55pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">y</span>= <span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </sp= an><span class=3D"awspan" style=3D"font-size:8pt">cient=C3=ADficos</span><s= pan class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </span= ><span class=3D"awspan" style=3D"font-size:8pt">en</span><span class=3D"aws= pan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </span><span class=3D"= awspan" style=3D"font-size:8pt">la</span><span class=3D"awspan" style=3D"fo= nt-size:8pt; letter-spacing:1.55pt"> </span><span class=3D"awspan" style=3D= "font-size:8pt">misma</span><span class=3D"awspan" style=3D"font-size:8pt; = letter-spacing:1.55pt"> </span><span class=3D"awspan" style=3D"font-size:8p= t">medida</span><span class=3D"awspan" style=3D"font-size:8pt; letter-spaci= ng:1.55pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">que</span= ><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </s= pan><span class=3D"awspan" style=3D"font-size:8pt">se</span><span class=3D"= awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </span><span class= =3D"awspan" style=3D"font-size:8pt">promueva mediante su intervenci=C3=B3n = cambios positivos en la sociedad. </span><a href=3D"https://cienciadigital.= org" style=3D"text-decoration:none"></a></p><p class=3D"awdiv" style=3D"fon= t-size:8pt"><a href=3D"https://cienciadigital.org" style=3D"text-decoration= :none"><span class=3D"awspan" style=3D"font-size:8pt; text-decoration:under= line; color:#0563c1">https://cienciadigital.org</span></a></p><p style=3D"f= ont-size:8pt"><span class=3D"awspan" style=3D"font-size:8pt; color:#0563c1"= > </span></p><p class=3D"awdiv" style=3D"font-size:8pt"><span class=3D= "awspan" style=3D"font-size:8pt">La</span><span class=3D"awspan" style=3D"f= ont-size:8pt; letter-spacing:0.1pt"> </span><span class=3D"awspan" style=3D= "font-size:8pt">revista</span><span class=3D"awspan" style=3D"font-size:8pt= ; letter-spacing:0.1pt"> </span><span class=3D"awspan" style=3D"font-size:8= pt">es</span><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:= 0.1pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">editada</span= ><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.1pt"> </sp= an><span class=3D"awspan" style=3D"font-size:8pt">por</span><span class=3D"= awspan" style=3D"font-size:8pt; letter-spacing:0.1pt"> </span><span class= =3D"awspan" style=3D"font-size:8pt">la</span><span class=3D"awspan" style= =3D"font-size:8pt; letter-spacing:0.1pt"> </span><span class=3D"awspan" sty= le=3D"font-size:8pt">Editorial</span><span class=3D"awspan" style=3D"font-s= ize:8pt; letter-spacing:0.1pt"> </span><span class=3D"awspan" style=3D"font= -size:8pt">Ciencia</span><span class=3D"awspan" style=3D"font-size:8pt; let= ter-spacing:0.1pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">D= igital</span><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:= 0.1pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">(Editorial</s= pan><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.1pt"> <= /span><span class=3D"awspan" style=3D"font-size:8pt">de</span><span class= =3D"awspan" style=3D"font-size:8pt; letter-spacing:0.1pt"> </span><span cla= ss=3D"awspan" style=3D"font-size:8pt">prestigio</span><span class=3D"awspan= " style=3D"font-size:8pt; letter-spacing:0.1pt"> </span><span class=3D"awsp= an" style=3D"font-size:8pt">registrada</span><span class=3D"awspan" style= =3D"font-size:8pt; letter-spacing:0.1pt"> </span><span class=3D"awspan" sty= le=3D"font-size:8pt">en</span><span class=3D"awspan" style=3D"font-size:8pt= ; letter-spacing:0.1pt"> </span><span class=3D"awspan" style=3D"font-size:8= pt">la</span><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:= 0.1pt"> </span><span class=3D"awspan" style=3D"font-size:8pt">C=C3=A1mara</= span><span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.1pt"> = </span><span class=3D"awspan" style=3D"font-size:8pt">Ecuatoriana de Libro = con No de Afiliaci=C3=B3n 663) </span><a href=3D"http://www.celibro.org.ec"= style=3D"text-decoration:none"></a></p><p class=3D"awdiv" style=3D"font-si= ze:8pt"><a href=3D"http://www.celibro.org.ec" style=3D"text-decoration:none= "><span class=3D"awspan" style=3D"font-size:8pt; text-decoration:underline;= color:#0563c1">www.celibro.org.ec</span></a></p><p class=3D"awdiv" style= =3D"font-size:8pt"><span class=3D"awspan" style=3D"font-size:8pt; font-styl= e:italic">Esta</span><span class=3D"awspan" style=3D"font-size:8pt; font-st= yle:italic; letter-spacing:0.35pt"> </span><span class=3D"awspan" style=3D"= font-size:8pt; font-style:italic">revista</span><span class=3D"awspan" styl= e=3D"font-size:8pt; font-style:italic; letter-spacing:0.35pt"> </span><span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic">est=C3=A1</spa= n><span class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-= spacing:0.35pt"> </span><span class=3D"awspan" style=3D"font-size:8pt; font= -style:italic">protegida</span><span class=3D"awspan" style=3D"font-size:8p= t; font-style:italic; letter-spacing:0.35pt"> </span><span class=3D"awspan"= style=3D"font-size:8pt; font-style:italic">bajo</span><span class=3D"awspa= n" style=3D"font-size:8pt; font-style:italic; letter-spacing:0.35pt"> </spa= n><span class=3D"awspan" style=3D"font-size:8pt; font-style:italic">una</sp= an><span class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter= -spacing:0.35pt"> </span><span class=3D"awspan" style=3D"font-size:8pt; fon= t-style:italic">licencia</span><span class=3D"awspan" style=3D"font-size:8p= t; font-style:italic; letter-spacing:0.35pt"> </span><span class=3D"awspan"= style=3D"font-size:8pt; font-style:italic">Creative</span><span class=3D"a= wspan" style=3D"font-size:8pt; font-style:italic; letter-spacing:0.35pt"> <= /span><span class=3D"awspan" style=3D"font-size:8pt; font-style:italic">Com= mons</span><span class=3D"awspan" style=3D"font-size:8pt; font-style:italic= ; letter-spacing:0.35pt"> </span><span class=3D"awspan" style=3D"font-size:= 8pt; font-style:italic">AttributionNonCommercialNoDerivatives</span><span c= lass=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing:0= .35pt"> </span><span class=3D"awspan" style=3D"font-size:8pt; font-style:it= alic">4.0 International. Copia de la licencia: </span><a href=3D"http://cre= ativecommons.org/licenses/by-nc-nd/4.0/" style=3D"text-decoration:none"></a= ></p><p class=3D"awdiv" style=3D"font-size:8pt"><a href=3D"http://creativec= ommons.org/licenses/by-nc-nd/4.0/" style=3D"text-decoration:none"><span cla= ss=3D"awspan" style=3D"font-size:8pt; text-decoration:underline; color:#056= 3c1">http://creativecommons.org/licenses/by-nc-nd/4.0/</span></a></p><p cla= ss=3D"awdiv"><span style=3D"height:0pt; display:block; position:absolute; z= -index:7"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyEAAAR= kCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJ= zsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P/ondr7Nmzumz0= 26mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74PhgbsfLi5cAGHIoL+PxGQwAFy8AC6A93ktOfHDf+RQ= UFBQUGgKOG/OI9UehwMAWesoYlPe2AiEix9YuzbAwa1xOAhMIr4nABgnQlb3cRPiEZsQApNzGNw= EYQxaLAItogOMwpQrEgprq0CYDchvi2GLsJatHbivKQfEuQhc0b3P5oLUMa2knO5zb8tbr2wNzp= 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class=3D"awspan" style=3D"color:#ffffff">pp. 126 =E2= =80=93 139, abril =E2=80=93 junio 2025Revista multidisciplinarArt=C3=ADculo= original</span></p><p class=3D"awdiv" style=3D"font-size:11pt"><span class= =3D"awspan" style=3D"font-family:Ebrima; font-size:11pt; color:#ffffff">www= .cienciayturismo.org</span></p><p class=3D"awdiv" style=3D"font-size:8pt"><= span class=3D"awspan" style=3D"font-size:8pt; font-style:italic">Esta revis= ta est=C3=A1 protegida bajo una licencia Creative Commons en la 4.0 Interna= tional. Copia de la licencia: </span><a href=3D"http://creativecommons.org/= licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a></p><p class=3D"= awdiv" style=3D"font-size:8pt"><a href=3D"http://creativecommons.org/licens= es/by-nc-sa/4.0/" style=3D"text-decoration:none"><span class=3D"awspan" sty= le=3D"font-size:8pt; text-decoration:underline; color:#0563c1">http://creat= ivecommons.org/licenses/by-nc-sa/4.0/</span></a></p><p style=3D"font-size:8= pt"><span class=3D"awspan" style=3D"font-size:8pt"> </span></p><p clas= s=3D"awdiv"><span style=3D"height:0pt; display:block; position:absolute; z-= index:8"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAE0AAAAc= CAYAAAAk2zLiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAEz9JREFUaIH= lmHt01NW1xz/nN7+ZzCOZPMkTJgmvBCIhgBAS4EICCI1FpXJLReBiEasVWWrrWnZpG2lRV8HHta= uWWh9FIfUBBlqCIBV5BF9AIGICQhJIQiAmmTwmmcwjM/M7948hk/C0q3fdv+7+Y2bWmbP32ed79= tl7n6/wej3y2zNn8AcCCAUABFeJvGpEBieJa6bIqzVDIwKQcsC6uM7//Xbl1dpXOyRBGTQorzfn= 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+6vqIoFBcXk5+fz8qVK9m3bx/Jyck0NTVRVFRESUnJDUEL0vc3AC04A9zOXnb9fSdHPv+SMWPHM= mLkCGJiYggzGdECAXp6nDRfvMSpU6c4V1t30yvRL5qm0d3dTWtr6+UHPdTW1nLp0iXq6+tDdNGN= xOfz0dnZycaNG1m7di0Oh4ODBw+ybNky/H4/TU1NvPvuuzf0RVVVli1bxq5duwgEAowaNYq+vj5= qa2tJTU0lMzOTL7/88sawSImorq6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f28OGCwWi4WFCxei0+= k4d+4cJ06cwOv1snjxYkpKSr7XVkJCAikpKdTW1pKbm0tjYyPt7e0UFBQghODw4cM0Nzff1E5WV= hbTp0/n4sWLNDcHC2BlZSU5OTl4vV6qqqquq1dWVsa8efMQDQ0N8v777/+XNz1YBhOK/67+/0b3= 6rX/FXvXmzN47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAAASUVORK5CYII=3D" width= =3D"77" height=3D"28" alt=3D"" style=3D"margin-left:443.3pt; position:absol= ute" /></span><span class=3D"awspan" style=3D"font-weight:bold">Palabras cl= aves: </span></p><p class=3D"awdiv"><span class=3D"awspan">Paradigmas,</spa= n></p><p class=3D"awdiv"><span class=3D"awspan">M=C3=A9todos, op=C3=A7=C3= =B5es metodol=C3=B3gicas.</span></p><p class=3D"awdiv"><span class=3D"awspa= n" style=3D"font-weight:bold; color:#808080">Resumen</span></p><p class=3D"= awdiv"><span class=3D"awspan" style=3D"font-weight:bold">Introdu=C3=A7=C3= =A3o.</span><span class=3D"awspan" style=3D"font-weight:bold; letter-spacin= g:-0.25pt"> </span><span class=3D"awspan">Num</span><span class=3D"awspan" = style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">processo</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span c= lass=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 25pt"> </span><span class=3D"awspan">investiga=C3=A7=C3=A3o</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspa= n">somos</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </s= pan><span class=3D"awspan">frequentemente confrontados</span><span class=3D= "awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">com= </span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span= class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:0.= 45pt"> </span><span class=3D"awspan">quest=C3=A3o</span><span class=3D"awsp= an" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">das</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span clas= s=3D"awspan">op=C3=A7=C3=B5es</span><span class=3D"awspan" style=3D"letter-= spacing:0.45pt"> </span><span class=3D"awspan">que,</span><span class=3D"aw= span" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">invari= avelmente,</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </= span><span class=3D"awspan">nos levam</span><span class=3D"awspan" style=3D= "letter-spacing:-0.45pt"> </span><span class=3D"awspan">a</span><span class= =3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan"= >fazer</span><span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </spa= n><span class=3D"awspan">escolhas.</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.45pt"> </span><span class=3D"awspan">Mas</span><span class= =3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan"= >as</span><span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><= span class=3D"awspan">escolhas/op=C3=A7=C3=B5es</span><span class=3D"awspan= " style=3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan">que</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span clas= s=3D"awspan">fazemos,</span><span class=3D"awspan" style=3D"letter-spacing:= -0.45pt"> </span><span class=3D"awspan">sobre tudo</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">em</spa= n><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span clas= s=3D"awspan">rela=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter= -spacing:-0.1pt"> </span><span class=3D"awspan">aos</span><span class=3D"aw= span" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">paradi= gmas</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><= span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.1pt"> </span><span class=3D"awspan">aos</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">m=C3=A9todos,= </span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span= class=3D"awspan">s=C3=A3o</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.1pt"> </span><span class=3D"awspan">conscientes</span><span class= =3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">= ou bem</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span>= <span class=3D"awspan">informadas?.</span><span class=3D"awspan" style=3D"l= etter-spacing:0.7pt"> </span><span class=3D"awspan" style=3D"font-weight:bo= ld">Objetivo. </span><span class=3D"awspan" style=3D"font-weight:bold"> = 0;</span><span class=3D"awspan">Neste</span><span class=3D"awspan" style=3D= "letter-spacing:0.7pt"> </span><span class=3D"awspan">pequeno</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspa= n">excerto,</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </= span><span class=3D"awspan">procuramos discutir</span><span class=3D"awspan= " style=3D"letter-spacing:4.85pt"> </span><span class=3D"awspan">o</span><s= pan class=3D"awspan" style=3D"letter-spacing:4.85pt"> </span><span class=3D= "awspan">asunto</span><span class=3D"awspan" style=3D"letter-spacing:4.85pt= "> </span><span class=3D"awspan">dos</span><span class=3D"awspan" style=3D"= letter-spacing:4.85pt"> </span><span class=3D"awspan">paradigmas</span><spa= n class=3D"awspan" style=3D"letter-spacing:4.85pt"> </span><span class=3D"a= wspan">de</span><span class=3D"awspan" style=3D"letter-spacing:4.85pt"> </s= pan><span class=3D"awspan">modo</span><span class=3D"awspan" style=3D"lette= r-spacing:4.85pt"> </span><span class=3D"awspan">a</span><span class=3D"aws= pan" style=3D"letter-spacing:4.85pt"> </span><span class=3D"awspan">permiti= r</span><span class=3D"awspan" style=3D"letter-spacing:4.85pt"> </span><spa= n class=3D"awspan">uma abordagem</span><span class=3D"awspan" style=3D"lett= er-spacing:0.2pt"> </span><span class=3D"awspan">cr=C3=ADtica</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"awspa= n">e</span><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><s= pan class=3D"awspan">consciente</span><span class=3D"awspan" style=3D"lette= r-spacing:0.2pt"> </span><span class=3D"awspan">sobre</span><span class=3D"= awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">os</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span cla= ss=3D"awspan">paradigmas</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.2pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">a</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan= ">op=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.2p= t"> </span><span class=3D"awspan">dos m=C3=A9todos</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan">qualit= ativos,</span><span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </sp= an><span class=3D"awspan">quantitativos</span><span class=3D"awspan" style= =3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan">e/ou</span><span= class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class=3D"a= wspan">ainda</span><span class=3D"awspan" style=3D"letter-spacing:-0.45pt">= </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"lett= er-spacing:-0.45pt"> </span><span class=3D"awspan">ado=C3=A7=C3=A3o</span><= span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class= =3D"awspan">por</span><span class=3D"awspan" style=3D"letter-spacing:-0.45p= t"> </span><span class=3D"awspan">um</span><span class=3D"awspan" style=3D"= letter-spacing:-0.45pt"> </span><span class=3D"awspan" style=3D"font-style:= italic">mix</span><span class=3D"awspan"> m=C3=A9todo</span><span class=3D"= awspan" style=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">qua= li-quantitativo.</span><span class=3D"awspan" style=3D"letter-spacing:-0.75= pt"> </span><span class=3D"awspan">Por</span><span class=3D"awspan" style= =3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">outras</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><span class=3D= "awspan">palavras,</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 75pt"> </span><span class=3D"awspan">este</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">excerto</span><= span class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><span class= =3D"awspan">tem</span><span class=3D"awspan" style=3D"letter-spacing:-0.75p= t"> </span><span class=3D"awspan">por objetivo</span><span class=3D"awspan"= style=3D"letter-spacing:4.1pt"> </span><span class=3D"awspan">discutir</sp= an><span class=3D"awspan" style=3D"letter-spacing:4.1pt"> </span><span clas= s=3D"awspan">alguns</span><span class=3D"awspan" style=3D"letter-spacing:4.= 1pt"> </span><span class=3D"awspan">aspetos</span><span class=3D"awspan" st= yle=3D"letter-spacing:4.1pt"> </span><span class=3D"awspan">relacionados</s= pan><span class=3D"awspan" style=3D"letter-spacing:4.1pt"> </span><span cla= ss=3D"awspan">aos</span><span class=3D"awspan" style=3D"letter-spacing:4.1p= t"> </span><span class=3D"awspan">paradigmas, m=C3=A9todos</span><span clas= s=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">= e</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span= class=3D"awspan">as</span><span class=3D"awspan" style=3D"letter-spacing:1= .7pt"> </span><span class=3D"awspan">op=C3=A7=C3=B5es</span><span class=3D"= awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">metod= ol=C3=B3gicas</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> = </span><span class=3D"awspan">no</span><span class=3D"awspan" style=3D"lett= er-spacing:1.7pt"> </span><span class=3D"awspan">processo</span><span class= =3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">d= e</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span= class=3D"awspan">pesquisa</span><span class=3D"awspan" style=3D"letter-spa= cing:1.7pt"> </span><span class=3D"awspan">de uma</span><span class=3D"awsp= an" style=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">investi= ga=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-0.75p= t"> </span><span class=3D"awspan">cient=C3=ADfica.</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan" style= =3D"font-weight:bold">Metodolog=C3=ADa.</span><span class=3D"awspan" style= =3D"font-weight:bold; letter-spacing:-0.75pt"> </span><span class=3D"awspan= ">O</span><span class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><= span class=3D"awspan">presente</span><span class=3D"awspan" style=3D"letter= -spacing:-0.75pt"> </span><span class=3D"awspan">artigo</span><span class= =3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan"= >=C3=A9</span><span class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </sp= an><span class=3D"awspan">parte do</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.05pt"> </span><span class=3D"awspan">cap=C3=ADtulo</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">da</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt= "> </span><span class=3D"awspan">metodologia</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">do</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D= "awspan">trabalho</span><span class=3D"awspan" style=3D"letter-spacing:-0.0= 5pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" style= =3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">realizamos</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span clas= s=3D"awspan">ao</span><span class=3D"awspan" style=3D"letter-spacing:-0.05p= t"> </span><span class=3D"awspan">n=C3=ADvel</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">do doutorame= nto</span><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><s= pan class=3D"awspan">sobre</span><span class=3D"awspan" style=3D"letter-spa= cing:1.45pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" = style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">gest=C3=A3o<= /span><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span = class=3D"awspan">interm=C3=A9dia</span><span class=3D"awspan" style=3D"lett= er-spacing:1.45pt"> </span><span class=3D"awspan">nas</span><span class=3D"= awspan" style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">esco= las</span><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><s= pan class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spacin= g:1.45pt"> </span><span class=3D"awspan">contexto educativo</span><span cla= ss=3D"awspan" style=3D"letter-spacing:4.55pt"> </span><span class=3D"awspan= ">angolano.</span><span class=3D"awspan" style=3D"letter-spacing:4.55pt"> <= /span><span class=3D"awspan">Trata-se</span><span class=3D"awspan" style=3D= "letter-spacing:4.55pt"> </span><span class=3D"awspan">de</span><span class= =3D"awspan" style=3D"letter-spacing:4.55pt"> </span><span class=3D"awspan">= um</span><span class=3D"awspan" style=3D"letter-spacing:4.55pt"> </span><sp= an class=3D"awspan">processo</span><span class=3D"awspan" style=3D"letter-s= pacing:4.55pt"> </span><span class=3D"awspan">de</span><span class=3D"awspa= n" style=3D"letter-spacing:4.55pt"> </span><span class=3D"awspan">revis=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:4.55pt"> </span><= span class=3D"awspan">de literatura</span><span class=3D"awspan" style=3D"l= etter-spacing:1.3pt"> </span><span class=3D"awspan">sobre</span><span class= =3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">q= uest=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> <= /span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"lett= er-spacing:1.3pt"> </span><span class=3D"awspan">t=C3=AAm</span><span class= =3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">q= ue</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><spa= n class=3D"awspan">ver</span><span class=3D"awspan" style=3D"letter-spacing= :1.3pt"> </span><span class=3D"awspan">com</span><span class=3D"awspan" sty= le=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">os</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspa= n">paradigmas</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> = </span><span class=3D"awspan">de investiga=C3=A7=C3=A3o</span><span class= =3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">= onde</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><= span class=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.35pt"> </span><span class=3D"awspan">questiona,</span><span class=3D"a= wspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">por</= span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span c= lass=3D"awspan">exemplo,</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.35pt"> </span><span class=3D"awspan">o</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">que</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"a= wspan">diferencia</span><span class=3D"awspan" style=3D"letter-spacing:0.35= pt"> </span><span class=3D"awspan">um paradigma</span><span class=3D"awspan= " style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">de</span><= span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class= =3D"awspan">outro?</span><span class=3D"awspan" style=3D"letter-spacing:0.5= 5pt"> </span><span class=3D"awspan">=C3=89</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">poss=C3=ADvel,<= /span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span = class=3D"awspan">num</span><span class=3D"awspan" style=3D"letter-spacing:0= .55pt"> </span><span class=3D"awspan">mesmo</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">estudo,</span>= <span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class= =3D"awspan">utilizar</span><span class=3D"awspan" style=3D"letter-spacing:0= .55pt"> </span><span class=3D"awspan">uma abordagem</span><span class=3D"aw= span" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">mista?= </span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span= class=3D"awspan">Como</span><span class=3D"awspan" style=3D"letter-spacing= :0.85pt"> </span><span class=3D"awspan">s=C3=A3o</span><span class=3D"awspa= n" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">tomadas</= span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span c= lass=3D"awspan">as</span><span class=3D"awspan" style=3D"letter-spacing:0.8= 5pt"> </span><span class=3D"awspan">decis=C3=B5es</span><span class=3D"awsp= an" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">de</span= ><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class= =3D"awspan">escolha</span><span class=3D"awspan" style=3D"letter-spacing:0.= 85pt"> </span><span class=3D"awspan">dos m=C3=A9todos</span><span class=3D"= awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">por</= span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span cl= ass=3D"awspan">parte</span><span class=3D"awspan" style=3D"letter-spacing:1= .2pt"> </span><span class=3D"awspan">do</span><span class=3D"awspan" style= =3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">investigador?.</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span clas= s=3D"awspan" style=3D"font-weight:bold">Conclus=C3=B5es.</span><span class= =3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan" s= tyle=3D"font-family:Calibri">Da</span><span class=3D"awspan" style=3D"font-= family:Calibri; letter-spacing:1.2pt"> </span><span class=3D"awspan" style= =3D"font-family:Calibri">an=C3=A1lise</span><span class=3D"awspan" style=3D= "font-family:Calibri; letter-spacing:1.2pt"> </span><span class=3D"awspan" = style=3D"font-family:Calibri">que empreendemos</span><span class=3D"awspan"= style=3D"font-family:Calibri; letter-spacing:0.85pt"> </span><span class= =3D"awspan" style=3D"font-family:Calibri">na</span><span class=3D"awspan" s= tyle=3D"font-family:Calibri; letter-spacing:0.85pt"> </span><span class=3D"= awspan" style=3D"font-family:Calibri">literatura</span><span class=3D"awspa= n" style=3D"font-family:Calibri; letter-spacing:0.85pt"> </span><span class= =3D"awspan" style=3D"font-family:Calibri">sobre</span><span class=3D"awspan= " style=3D"font-family:Calibri; letter-spacing:0.85pt"> </span><span class= =3D"awspan" style=3D"font-family:Calibri">os</span><span class=3D"awspan" s= tyle=3D"font-family:Calibri; letter-spacing:0.85pt"> </span><span class=3D"= awspan" style=3D"font-family:Calibri">aspetos</span><span class=3D"awspan" = style=3D"font-family:Calibri; letter-spacing:0.85pt"> </span><span class=3D= "awspan" style=3D"font-family:Calibri">relacionados</span><span class=3D"aw= span" style=3D"font-family:Calibri; letter-spacing:0.85pt"> </span><span cl= ass=3D"awspan" style=3D"font-family:Calibri">com os</span><span class=3D"aw= span" style=3D"font-family:Calibri; letter-spacing:0.4pt"> </span><span cla= ss=3D"awspan" style=3D"font-family:Calibri">paradigmas,</span><span class= =3D"awspan" style=3D"font-family:Calibri; letter-spacing:0.4pt"> </span><sp= an class=3D"awspan" style=3D"font-family:Calibri">m=C3=A9todos</span><span = class=3D"awspan" style=3D"font-family:Calibri; letter-spacing:0.4pt"> </spa= n><span class=3D"awspan" style=3D"font-family:Calibri">e</span><span class= =3D"awspan" style=3D"font-family:Calibri; letter-spacing:0.4pt"> </span><sp= an class=3D"awspan" style=3D"font-family:Calibri">op=C3=A7=C3=B5es</span><s= pan class=3D"awspan" style=3D"font-family:Calibri; letter-spacing:0.4pt"> <= /span><span class=3D"awspan" style=3D"font-family:Calibri">metrol=C3=B3gica= s,</span><span class=3D"awspan" style=3D"font-family:Calibri; letter-spacin= g:0.4pt"> </span><span class=3D"awspan" style=3D"font-family:Calibri">concl= u=C3=ADmos</span><span class=3D"awspan" style=3D"font-family:Calibri; lette= r-spacing:0.4pt"> </span><span class=3D"awspan" style=3D"font-family:Calibr= i">que, independentemente</span><span class=3D"awspan" style=3D"font-family= :Calibri; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"fon= t-family:Calibri">das</span><span class=3D"awspan" style=3D"font-family:Cal= ibri; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font-fa= mily:Calibri">op=C3=A7=C3=B5es,</span><span class=3D"awspan" style=3D"font-= family:Calibri; letter-spacing:2.9pt"> </span><span class=3D"awspan" style= =3D"font-family:Calibri">em</span><span class=3D"awspan" style=3D"font-fami= ly:Calibri; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"f= ont-family:Calibri">termos</span><span class=3D"awspan" style=3D"font-famil= y:Calibri; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"fo= nt-family:Calibri">de</span><span class=3D"awspan" style=3D"font-family:Cal= ibri; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font-fa= mily:Calibri">paradigmas</span><span class=3D"awspan" style=3D"font-family:= Calibri; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font= -family:Calibri">e m=C3=A9todos,</span><span class=3D"awspan" style=3D"font= -family:Calibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style= =3D"font-family:Calibri">o</span><span class=3D"awspan" style=3D"font-famil= y:Calibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"fo= nt-family:Calibri">mais</span><span class=3D"awspan" style=3D"font-family:C= alibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"font-= family:Calibri">importante</span><span class=3D"awspan" style=3D"font-famil= y:Calibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"fo= nt-family:Calibri">=C3=A9</span><span class=3D"awspan" style=3D"font-family= :Calibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"fon= t-family:Calibri">que</span><span class=3D"awspan" style=3D"font-family:Cal= ibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"font-fa= mily:Calibri">essas</span><span class=3D"awspan" style=3D"font-family:Calib= ri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"font-fami= ly:Calibri">decis=C3=B5es</span><span class=3D"awspan" style=3D"font-family= :Calibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"fon= t-family:Calibri">sejam</span><span class=3D"awspan" style=3D"font-family:C= alibri; letter-spacing:2.4pt"> </span><span class=3D"awspan" style=3D"font-= family:Calibri">bem informadas.</span><span class=3D"awspan" style=3D"font-= family:Calibri; letter-spacing:-0.25pt"> </span><span class=3D"awspan" styl= e=3D"font-weight:bold">=C3=81rea</span><span class=3D"awspan" style=3D"font= -weight:bold; letter-spacing:-0.3pt"> </span><span class=3D"awspan" style= =3D"font-weight:bold">de</span><span class=3D"awspan" style=3D"font-weight:= bold; letter-spacing:-0.3pt"> </span><span class=3D"awspan" style=3D"font-w= eight:bold">estudo</span><span class=3D"awspan" style=3D"font-weight:bold; = letter-spacing:-0.3pt"> </span><span class=3D"awspan" style=3D"font-weight:= bold">geral:</span><span class=3D"awspan" style=3D"font-weight:bold; letter= -spacing:-0.3pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">= Metodolog=C3=ADa</span><span class=3D"awspan" style=3D"font-weight:bold; le= tter-spacing:-0.3pt"> </span><span class=3D"awspan" style=3D"font-weight:bo= ld">de</span><span class=3D"awspan" style=3D"font-weight:bold; letter-spaci= ng:-0.3pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">invest= iga=C3=A7=C3=A3o. =C3=81rea</span><span class=3D"awspan" style=3D"font-weig= ht:bold; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font= -weight:bold">de</span><span class=3D"awspan" style=3D"font-weight:bold; le= tter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font-weight:bol= d">estudo</span><span class=3D"awspan" style=3D"font-weight:bold; letter-sp= acing:2.9pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">espe= c=C3=ADfica:</span><span class=3D"awspan" style=3D"font-weight:bold; letter= -spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">M= etodolog=C3=ADa</span><span class=3D"awspan" style=3D"font-weight:bold; let= ter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font-weight:bold= ">de</span><span class=3D"awspan" style=3D"font-weight:bold; letter-spacing= :2.9pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">investiga= =C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"font-weight:bold; lette= r-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">= em Ci=C3=AAncias da Educa=C3=A7=C3=A3o.</span></p><p class=3D"awdiv"><span = class=3D"awspan" style=3D"font-weight:bold">Keywords:</span><span class=3D"= awspan"> </span></p><p class=3D"awdiv"><span class=3D"awspan">Paradigms, me= thods, </span></p><p class=3D"awdiv"><span class=3D"awspan">Methodological = choices.</span></p><p class=3D"awdiv" style=3D"padding-bottom:10pt"><span c= lass=3D"awspan" style=3D"font-weight:bold">Introduction.</span><span class= =3D"awspan" style=3D"font-weight:bold; letter-spacing:1.7pt"> </span><span = class=3D"awspan">In</span><span class=3D"awspan" style=3D"letter-spacing:1.= 7pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D= "letter-spacing:1.7pt"> </span><span class=3D"awspan">research</span><span = class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awsp= an">process</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </= span><span class=3D"awspan">we</span><span class=3D"awspan" style=3D"letter= -spacing:1.7pt"> </span><span class=3D"awspan">are</span><span class=3D"aws= pan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">often</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span cla= ss=3D"awspan">faced</span><span class=3D"awspan" style=3D"letter-spacing:1.= 7pt"> </span><span class=3D"awspan">with</span><span class=3D"awspan" style= =3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">the question</span= ><span class=3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span class= =3D"awspan">of</span><span class=3D"awspan" style=3D"letter-spacing:1.1pt">= </span><span class=3D"awspan">options</span><span class=3D"awspan" style= =3D"letter-spacing:1.1pt"> </span><span class=3D"awspan">that,</span><span = class=3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span class=3D"awsp= an">invariably,</span><span class=3D"awspan" style=3D"letter-spacing:1.1pt"= > </span><span class=3D"awspan">lead</span><span class=3D"awspan" style=3D"= letter-spacing:1.1pt"> </span><span class=3D"awspan">us</span><span class= =3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span class=3D"awspan">t= o</span><span class=3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span= class=3D"awspan">make</span><span class=3D"awspan" style=3D"letter-spacing= :1.1pt"> </span><span class=3D"awspan">choices.</span><span class=3D"awspan= " style=3D"letter-spacing:1.1pt"> </span><span class=3D"awspan">But are</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span cla= ss=3D"awspan">the</span><span class=3D"awspan" style=3D"letter-spacing:-0.6= pt"> </span><span class=3D"awspan">choices/options</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">we</spa= n><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span clas= s=3D"awspan">make,</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 6pt"> </span><span class=3D"awspan">especially</span><span class=3D"awspan"= style=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">in</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span class=3D= "awspan">relation</span><span class=3D"awspan" style=3D"letter-spacing:-0.6= pt"> </span><span class=3D"awspan">to</span><span class=3D"awspan" style=3D= "letter-spacing:-0.6pt"> </span><span class=3D"awspan">paradigms and</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class= =3D"awspan">methods,</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.15pt"> </span><span class=3D"awspan">conscious</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">or</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span clas= s=3D"awspan">well-informed?.</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.15pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">O= bjective.</span><span class=3D"awspan" style=3D"font-weight:bold; letter-sp= acing:-0.15pt"> </span><span class=3D"awspan">In</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">this</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span cl= ass=3D"awspan">short excerpt,</span><span class=3D"awspan" style=3D"letter-= spacing:1.7pt"> </span><span class=3D"awspan">we</span><span class=3D"awspa= n" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">seek</span= ><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class= =3D"awspan">to</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt">= </span><span class=3D"awspan">discuss</span><span class=3D"awspan" style= =3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">the</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan= ">subject</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </sp= an><span class=3D"awspan">of</span><span class=3D"awspan" style=3D"letter-s= pacing:1.7pt"> </span><span class=3D"awspan">paradigms</span><span class=3D= "awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">in</= span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span cl= ass=3D"awspan">order</span><span class=3D"awspan" style=3D"letter-spacing:1= .7pt"> </span><span class=3D"awspan">to allow</span><span class=3D"awspan" = style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">a</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"a= wspan">critical</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt= "> </span><span class=3D"awspan">and</span><span class=3D"awspan" style=3D"= letter-spacing:-0.4pt"> </span><span class=3D"awspan">conscious</span><span= class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"aw= span">approach</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"= > </span><span class=3D"awspan">to</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.4pt"> </span><span class=3D"awspan">paradigms</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awsp= an">and</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </spa= n><span class=3D"awspan">the</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.4pt"> </span><span class=3D"awspan">option of</span><span class= =3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">= qualitative,</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> = </span><span class=3D"awspan">quantitative</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">methods</span><= span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class= =3D"awspan">and/or</span><span class=3D"awspan" style=3D"letter-spacing:0.9= 5pt"> </span><span class=3D"awspan">even</span><span class=3D"awspan" style= =3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">the</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awsp= an">adoption</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> = </span><span class=3D"awspan">of</span><span class=3D"awspan" style=3D"lett= er-spacing:0.95pt"> </span><span class=3D"awspan">a qualitative-quantitativ= e</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><spa= n class=3D"awspan">method</span><span class=3D"awspan" style=3D"letter-spac= ing:1.75pt"> </span><span class=3D"awspan">mix.</span><span class=3D"awspan= " style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">In</span><= span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class= =3D"awspan">other</span><span class=3D"awspan" style=3D"letter-spacing:1.75= pt"> </span><span class=3D"awspan">words,</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">this</span><span= class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"aw= span">excerpt aims</span><span class=3D"awspan" style=3D"letter-spacing:1.7= pt"> </span><span class=3D"awspan">to</span><span class=3D"awspan" style=3D= "letter-spacing:1.7pt"> </span><span class=3D"awspan">discuss</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspa= n">some</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span= ><span class=3D"awspan">aspects</span><span class=3D"awspan" style=3D"lette= r-spacing:1.7pt"> </span><span class=3D"awspan">related</span><span class= =3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">t= o</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span= class=3D"awspan">paradigms,</span><span class=3D"awspan" style=3D"letter-s= pacing:1.7pt"> </span><span class=3D"awspan">methods</span><span class=3D"a= wspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">and me= thodological</span><span class=3D"awspan" style=3D"letter-spacing:3.55pt"> = </span><span class=3D"awspan">options</span><span class=3D"awspan" style=3D= "letter-spacing:3.55pt"> </span><span class=3D"awspan">in</span><span class= =3D"awspan" style=3D"letter-spacing:3.55pt"> </span><span class=3D"awspan">= the</span><span class=3D"awspan" style=3D"letter-spacing:3.55pt"> </span><s= pan class=3D"awspan">research</span><span class=3D"awspan" style=3D"letter-= spacing:3.55pt"> </span><span class=3D"awspan">process</span><span class=3D= "awspan" style=3D"letter-spacing:3.55pt"> </span><span class=3D"awspan">of<= /span><span class=3D"awspan" style=3D"letter-spacing:3.55pt"> </span><span = class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:3.5= 5pt"> </span><span class=3D"awspan">scientific investigation.</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awsp= an" style=3D"font-weight:bold; letter-spacing:0.65pt"> </span><span cl= ass=3D"awspan" style=3D"font-weight:bold">Methodology.</span><span class=3D= "awspan" style=3D"font-weight:bold; letter-spacing:0.65pt"> </span><span cl= ass=3D"awspan">This</span><span class=3D"awspan" style=3D"letter-spacing:0.= 65pt"> </span><span class=3D"awspan">article</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">is</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"a= wspan">part</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> <= /span><span class=3D"awspan">of</span><span class=3D"awspan" style=3D"lette= r-spacing:0.65pt"> </span><span class=3D"awspan">the</span><span class=3D"a= wspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">chapt= er</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><sp= an class=3D"awspan">on </span></p><p class=3D"awdiv"><span style=3D"height:= 0pt; display:block; position:absolute; z-index:9"><img src=3D"data:image/pn= g;base64,iVBORw0KGgoAAAANSUhEUgAAAyEAAARkCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiA= AAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8S= V1SSWqV66qurp7unuk52zu7833P/ondr7Nmzumz026mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74Ph= gbsfLi5cAGHIoL+PxGQwAFy8AC6A93ktOfHDf+RQUFBQUGgKOG/OI9UehwMAWesoYlPe2AiEix9= YuzbAwa1xOAhMIr4nABgnQlb3cRPiEZsQApNzGNwEYQxaLAItogOMwpQrEgprq0CYDchvi2GLsJ= 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Ny4cVewHdcTIQRHjhwhIyODsLAw9u7dS2RkJK2trXR1deH3+2+6vqIoFBcXk5+fz8qVK9m3bx/J= yck0NTVRVFRESUnJDUEL0vc3AC04A9zOXnb9fSdHPv+SMWPHMmLkCGJiYggzGdECAXp6nDRfvMS= pU6c4V1t30yvRL5qm0d3dTWtr6+UHPdTW1nLp0iXq6+tDdNGNxOfz0dnZycaNG1m7di0Oh4ODBw= +ybNky/H4/TU1NvPvuuzf0RVVVli1bxq5duwgEAowaNYq+vj5qa2tJTU0lMzOTL7/88sawSImor= q6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f28OGCwWi4WFCxei0+k4d+4cJ06cwOv1snjxYkpKSr7X= VkJCAikpKdTW1pKbm0tjYyPt7e0UFBQghODw4cM0Nzff1E5WVhbTp0/n4sWLNDcHC2BlZSU5OTl= 4vV6qqqquq1dWVsa8efMQDQ0N8v777/+XNz1YBhOK/67+/0b36rX/FXvXmzN47GY2nnvuOXJycv= 4tf//fy/8AgnKjIiDLf+gAAAAASUVORK5CYII=3D" width=3D"77" height=3D"28" alt=3D= "" style=3D"margin-left:443.3pt; position:absolute" /></span><span class=3D= "awspan">the</span><span class=3D"awspan" style=3D"letter-spacing:1.4pt"> <= /span><span class=3D"awspan">methodology</span><span class=3D"awspan" style= =3D"letter-spacing:1.4pt"> </span><span class=3D"awspan">of</span><span cla= ss=3D"awspan" style=3D"letter-spacing:1.4pt"> </span><span class=3D"awspan"= >the</span><span class=3D"awspan" style=3D"letter-spacing:1.4pt"> </span><s= pan class=3D"awspan">work</span><span class=3D"awspan" style=3D"letter-spac= ing:1.4pt"> </span><span class=3D"awspan">we</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.4pt"> </span><span class=3D"awspan">carried</span>= <span class=3D"awspan" style=3D"letter-spacing:1.4pt"> </span><span class= =3D"awspan">out</span><span class=3D"awspan" style=3D"letter-spacing:1.4pt"= > </span><span class=3D"awspan">at</span><span class=3D"awspan" style=3D"le= tter-spacing:1.4pt"> </span><span class=3D"awspan">doctoral</span><span cla= ss=3D"awspan" style=3D"letter-spacing:1.4pt"> </span><span class=3D"awspan"= >level</span><span class=3D"awspan" style=3D"letter-spacing:1.4pt"> </span>= <span class=3D"awspan">on intermediate</span><span class=3D"awspan" style= =3D"letter-spacing:1.95pt"> </span><span class=3D"awspan">management</span>= <span class=3D"awspan" style=3D"letter-spacing:1.95pt"> </span><span class= =3D"awspan">in</span><span class=3D"awspan" style=3D"letter-spacing:1.95pt"= > </span><span class=3D"awspan">schools</span><span class=3D"awspan" style= =3D"letter-spacing:1.95pt"> </span><span class=3D"awspan">in</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.95pt"> </span><span class=3D"awspa= n">the</span><span class=3D"awspan" style=3D"letter-spacing:1.95pt"> </span= ><span class=3D"awspan">Angolan</span><span class=3D"awspan" style=3D"lette= r-spacing:1.95pt"> </span><span class=3D"awspan">educational context.</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span clas= s=3D"awspan">It</span><span class=3D"awspan" style=3D"letter-spacing:-0.05p= t"> </span><span class=3D"awspan">is</span><span class=3D"awspan" style=3D"= letter-spacing:-0.05pt"> </span><span class=3D"awspan">a</span><span class= =3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan"= >process</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </s= pan><span class=3D"awspan">of</span><span class=3D"awspan" style=3D"letter-= spacing:-0.05pt"> </span><span class=3D"awspan">literature</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan= ">review</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </s= pan><span class=3D"awspan">on</span><span class=3D"awspan" style=3D"letter-= spacing:-0.05pt"> </span><span class=3D"awspan">issues</span><span class=3D= "awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">th= at</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><s= pan class=3D"awspan">have</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.05pt"> </span><span class=3D"awspan">to</span><span class=3D"awspan"= style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">do with</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span cla= ss=3D"awspan">research</span><span class=3D"awspan" style=3D"letter-spacing= :0.3pt"> </span><span class=3D"awspan">paradigms</span><span class=3D"awspa= n" style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">where</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class= =3D"awspan">the</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"= > </span><span class=3D"awspan">question</span><span class=3D"awspan" style= =3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">is</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan"= >asked,</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span= ><span class=3D"awspan">for</span><span class=3D"awspan" style=3D"letter-sp= acing:0.3pt"> </span><span class=3D"awspan">example, what</span><span class= =3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">= differentiates</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"= > </span><span class=3D"awspan">one</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.4pt"> </span><span class=3D"awspan">paradigm</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awsp= an">from</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </sp= an><span class=3D"awspan">another?</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.4pt"> </span><span class=3D"awspan">Is</span><span class=3D= "awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">it<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span = class=3D"awspan">possible,</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.4pt"> </span><span class=3D"awspan">in</span><span class=3D"awspan"= style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">the same</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span cl= ass=3D"awspan">study,</span><span class=3D"awspan" style=3D"letter-spacing:= 1.75pt"> </span><span class=3D"awspan">to</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">use</span><span = class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"aws= pan">a</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span= ><span class=3D"awspan">mixed</span><span class=3D"awspan" style=3D"letter-= spacing:1.75pt"> </span><span class=3D"awspan">approach?</span><span class= =3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">= How</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><s= pan class=3D"awspan">are</span><span class=3D"awspan" style=3D"letter-spaci= ng:1.75pt"> </span><span class=3D"awspan">the</span><span class=3D"awspan" = style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">researcher= =E2=80=99s decisions</span><span class=3D"awspan" style=3D"letter-spacing:2= .7pt"> </span><span class=3D"awspan">regarding</span><span class=3D"awspan"= style=3D"letter-spacing:2.7pt"> </span><span class=3D"awspan">the</span><s= pan class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span class=3D"= awspan">choice</span><span class=3D"awspan" style=3D"letter-spacing:2.7pt">= </span><span class=3D"awspan">of</span><span class=3D"awspan" style=3D"let= ter-spacing:2.7pt"> </span><span class=3D"awspan">methods</span><span class= =3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span class=3D"awspan">m= ade?.</span><span class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><= span class=3D"awspan" style=3D"font-weight:bold">Conclusion. </span><span c= lass=3D"awspan">From the analysis we carried out in the literature on aspec= ts related to</span><span class=3D"awspan" style=3D"letter-spacing:-0.7pt">= </span><span class=3D"awspan">metrological</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">paradigms,</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span cla= ss=3D"awspan">methods</span><span class=3D"awspan" style=3D"letter-spacing:= -0.7pt"> </span><span class=3D"awspan">and</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">options,</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span class= =3D"awspan">we</span><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"= > </span><span class=3D"awspan">concluded</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">that, regardless= </span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span= class=3D"awspan">of</span><span class=3D"awspan" style=3D"letter-spacing:0= .85pt"> </span><span class=3D"awspan">the</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">options,</span><= span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class= =3D"awspan">in</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"= > </span><span class=3D"awspan">terms</span><span class=3D"awspan" style=3D= "letter-spacing:0.85pt"> </span><span class=3D"awspan">of</span><span class= =3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">= paradigms</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </s= pan><span class=3D"awspan">and</span><span class=3D"awspan" style=3D"letter= -spacing:0.85pt"> </span><span class=3D"awspan">methods,</span><span class= =3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">= the most</span><span class=3D"awspan" style=3D"letter-spacing:2.5pt"> </spa= n><span class=3D"awspan">important</span><span class=3D"awspan" style=3D"le= tter-spacing:2.5pt"> </span><span class=3D"awspan">thing</span><span class= =3D"awspan" style=3D"letter-spacing:2.5pt"> </span><span class=3D"awspan">i= s</span><span class=3D"awspan" style=3D"letter-spacing:2.5pt"> </span><span= class=3D"awspan">that</span><span class=3D"awspan" style=3D"letter-spacing= :2.5pt"> </span><span class=3D"awspan">these</span><span class=3D"awspan" s= tyle=3D"letter-spacing:2.5pt"> </span><span class=3D"awspan">decisions</spa= n><span class=3D"awspan" style=3D"letter-spacing:2.5pt"> </span><span class= =3D"awspan">are</span><span class=3D"awspan" style=3D"letter-spacing:2.5pt"= > </span><span class=3D"awspan">well</span><span class=3D"awspan" style=3D"= letter-spacing:2.5pt"> </span><span class=3D"awspan">informed. </span><span= class=3D"awspan" style=3D"font-weight:bold">General</span><span class=3D"a= wspan" style=3D"font-weight:bold; letter-spacing:0.65pt"> </span><span clas= s=3D"awspan" style=3D"font-weight:bold">area</span><span class=3D"awspan" s= tyle=3D"font-weight:bold; letter-spacing:0.65pt"> </span><span class=3D"aws= pan" style=3D"font-weight:bold">of</span><span class=3D"awspan" style=3D"fo= nt-weight:bold; letter-spacing:0.65pt"> </span><span class=3D"awspan" style= =3D"font-weight:bold">study:</span><span class=3D"awspan" style=3D"font-wei= ght:bold; letter-spacing:0.65pt"> </span><span class=3D"awspan">Research</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span cl= ass=3D"awspan">methodology.</span><span class=3D"awspan" style=3D"letter-sp= acing:0.65pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">Spe= cific</span><span class=3D"awspan" style=3D"font-weight:bold; letter-spacin= g:0.65pt"> </span><span class=3D"awspan" style=3D"font-weight:bold">area</s= pan><span class=3D"awspan" style=3D"font-weight:bold; letter-spacing:0.65pt= "> </span><span class=3D"awspan" style=3D"font-weight:bold">of</span><span = class=3D"awspan" style=3D"font-weight:bold; letter-spacing:0.65pt"> </span>= <span class=3D"awspan" style=3D"font-weight:bold">study</span><span class= =3D"awspan">: Research methodology in Educational Sciences.</span></p><p cl= ass=3D"awdiv"><span class=3D"awspan" style=3D"font-weight:bold; color:#7671= 71">1. Introdu=C3=A7=C3=A3o</span></p><p class=3D"awdiv"><span class=3D"aws= pan">Aquilo</span><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> <= /span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"lett= er-spacing:2.65pt"> </span><span class=3D"awspan">=C3=A9</span><span class= =3D"awspan" style=3D"letter-spacing:2.65pt"> </span><span class=3D"awspan">= comum,</span><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> </span= ><span class=3D"awspan">aquilo</span><span class=3D"awspan" style=3D"letter= -spacing:2.65pt"> </span><span class=3D"awspan">que</span><span class=3D"aw= span" style=3D"letter-spacing:2.65pt"> </span><span class=3D"awspan">=C3=A9= </span><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> </span><span= class=3D"awspan">aceite</span><span class=3D"awspan" style=3D"letter-spaci= ng:2.65pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan" st= yle=3D"letter-spacing:2.65pt"> </span><span class=3D"awspan">partilhado</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> </span><span cla= ss=3D"awspan">dentro</span><span class=3D"awspan" style=3D"letter-spacing:2= .65pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" style= =3D"letter-spacing:2.65pt"> </span><span class=3D"awspan">uma</span><span c= lass=3D"awspan" style=3D"letter-spacing:2.65pt"> </span><span class=3D"awsp= an">determinada comunidade</span><span class=3D"awspan" style=3D"letter-spa= cing:4.55pt"> </span><span class=3D"awspan">cient=C3=ADfica</span><span cla= ss=3D"awspan" style=3D"letter-spacing:4.55pt"> </span><span class=3D"awspan= ">(ou</span><span class=3D"awspan" style=3D"letter-spacing:4.55pt"> </span>= <span class=3D"awspan">numa</span><span class=3D"awspan" style=3D"letter-sp= acing:4.55pt"> </span><span class=3D"awspan">sociedade)</span><span class= =3D"awspan" style=3D"letter-spacing:4.55pt"> </span><span class=3D"awspan">= pode</span><span class=3D"awspan" style=3D"letter-spacing:4.55pt"> </span><= span class=3D"awspan">ser</span><span class=3D"awspan" style=3D"letter-spac= ing:4.55pt"> </span><span class=3D"awspan">assumido</span><span class=3D"aw= span" style=3D"letter-spacing:4.55pt"> </span><span class=3D"awspan">como</= span><span class=3D"awspan" style=3D"letter-spacing:4.55pt"> </span><span c= lass=3D"awspan">sendo</span><span class=3D"awspan" style=3D"letter-spacing:= 4.55pt"> </span><span class=3D"awspan">um paradigma</span><span class=3D"aw= span" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">influen= ciando</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span>= <span class=3D"awspan">e,</span><span class=3D"awspan" style=3D"letter-spac= ing:0.9pt"> </span><span class=3D"awspan">na</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">maioria</span>= <span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class= =3D"awspan">das</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"= > </span><span class=3D"awspan">vezes,</span><span class=3D"awspan" style= =3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">at=C3=A9</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"a= wspan">mesmo</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> <= /span><span class=3D"awspan">determinando</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">as</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan= ">cren=C3=A7as, normas, pr=C3=A1ticas, valores dentro da referida comunidad= e.</span></p><p class=3D"awdiv"><span class=3D"awspan">No</span><span class= =3D"awspan" style=3D"letter-spacing:2.5pt"> </span><span class=3D"awspan">d= ia</span><span class=3D"awspan" style=3D"letter-spacing:2.5pt"> </span><spa= n class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:2= .5pt"> </span><span class=3D"awspan">dia,</span><span class=3D"awspan" styl= e=3D"letter-spacing:2.5pt"> </span><span class=3D"awspan">de</span><span cl= ass=3D"awspan" style=3D"letter-spacing:2.5pt"> </span><span class=3D"awspan= ">forma</span><span class=3D"awspan" style=3D"letter-spacing:2.5pt"> </span= ><span class=3D"awspan">consciente</span><span class=3D"awspan" style=3D"le= tter-spacing:2.5pt"> </span><span class=3D"awspan">ou</span><span class=3D"= awspan" style=3D"letter-spacing:2.5pt"> </span><span class=3D"awspan">incon= sciente</span><span class=3D"awspan" style=3D"letter-spacing:2.5pt"> </span= ><span class=3D"awspan">tamb=C3=A9m</span><span class=3D"awspan" style=3D"l= etter-spacing:2.5pt"> </span><span class=3D"awspan">nos</span><span class= =3D"awspan" style=3D"letter-spacing:2.5pt"> </span><span class=3D"awspan">s= ervimos</span><span class=3D"awspan" style=3D"letter-spacing:2.5pt"> </span= ><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spa= cing:2.5pt"> </span><span class=3D"awspan">certos paradigmas</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspa= n">para</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </spa= n><span class=3D"awspan">guiar</span><span class=3D"awspan" style=3D"letter= -spacing:1.75pt"> </span><span class=3D"awspan">as</span><span class=3D"aws= pan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">nossas<= /span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span = class=3D"awspan">a=C3=A7=C3=B5es.</span><span class=3D"awspan" style=3D"let= ter-spacing:1.75pt"> </span><span class=3D"awspan">Nesta</span><span class= =3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">= linha</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span>= <span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spac= ing:1.75pt"> </span><span class=3D"awspan">ideias,</span><span class=3D"aws= pan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">pode</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span cl= ass=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spacing:1.75= pt"> </span><span class=3D"awspan">dizer</span><span class=3D"awspan" style= =3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">que,</span><span = class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"aws= pan">por exemplo,</span><span class=3D"awspan" style=3D"letter-spacing:0.55= pt"> </span><span class=3D"awspan">existem</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">nas</span><span= class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"aw= span">sociedades</span><span class=3D"awspan" style=3D"letter-spacing:0.55p= t"> </span><span class=3D"awspan">em</span><span class=3D"awspan" style=3D"= letter-spacing:0.55pt"> </span><span class=3D"awspan">que</span><span class= =3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">= vivemos</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </spa= n><span class=3D"awspan">paradigmas</span><span class=3D"awspan" style=3D"l= etter-spacing:0.55pt"> </span><span class=3D"awspan">que</span><span class= =3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">= conduzem</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </sp= an><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-sp= acing:0.55pt"> </span><span class=3D"awspan">sistema legal,</span><span cla= ss=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span class=3D"awspan= ">paradigmas</span><span class=3D"awspan" style=3D"letter-spacing:1.05pt"> = </span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"let= ter-spacing:1.05pt"> </span><span class=3D"awspan">determinam</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span class=3D"awsp= an">a</span><span class=3D"awspan" style=3D"letter-spacing:1.05pt"> </span>= <span class=3D"awspan">sele=C3=A7=C3=A3o</span><span class=3D"awspan" style= =3D"letter-spacing:1.05pt"> </span><span class=3D"awspan">dos</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span class=3D"awsp= an">=E2=80=9Cmelhores=E2=80=9D</span><span class=3D"awspan" style=3D"letter= -spacing:1.05pt"> </span><span class=3D"awspan">atletas</span><span class= =3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span class=3D"awspan">= numa</span><span class=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><= span class=3D"awspan">determinada modalidade</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">desportiva</= span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span = class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 15pt"> </span><span class=3D"awspan">n=C3=A3o</span><span class=3D"awspan" = style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">s=C3=B3,</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span c= lass=3D"awspan">paradigmas</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.15pt"> </span><span class=3D"awspan">que</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">guiam</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span c= lass=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:-0.1= 5pt"> </span><span class=3D"awspan">vida</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">moral,</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D= "awspan">espiritual,</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.15pt"> </span><span class=3D"awspan">religiosa entre</span><span class=3D= "awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">outr= os.</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><sp= an class=3D"awspan">Os</span><span class=3D"awspan" style=3D"letter-spacing= :0.1pt"> </span><span class=3D"awspan">exemplos</span><span class=3D"awspan= " style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">referidos</= span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span cl= ass=3D"awspan">atr=C3=A1s,</span><span class=3D"awspan" style=3D"letter-spa= cing:0.1pt"> </span><span class=3D"awspan">se</span><span class=3D"awspan" = style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">inscrevem</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span clas= s=3D"awspan">na</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"= > </span><span class=3D"awspan">linha</span><span class=3D"awspan" style=3D= "letter-spacing:0.1pt"> </span><span class=3D"awspan">de</span><span class= =3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">p= ensamento</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </sp= an><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-s= pacing:0.1pt"> </span><span class=3D"awspan">Guba (1990) embora, Kuhn (1994= ), por seu lado, n=C3=A3o aplica o termo fora do =C3=A2mbito cient=C3=ADfic= o.</span></p><p class=3D"awdiv" style=3D"padding-bottom:10pt"><span class= =3D"awspan">No</span><span class=3D"awspan" style=3D"letter-spacing:2.95pt"= > </span><span class=3D"awspan">campo</span><span class=3D"awspan" style=3D= "letter-spacing:2.95pt"> </span><span class=3D"awspan">cient=C3=ADfico,</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.95pt"> </span><span cla= ss=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:2.95pt= "> </span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"= letter-spacing:2.95pt"> </span><span class=3D"awspan">mais</span><span clas= s=3D"awspan" style=3D"letter-spacing:2.95pt"> </span><span class=3D"awspan"= >nos</span><span class=3D"awspan" style=3D"letter-spacing:2.95pt"> </span><= span class=3D"awspan">interessa</span><span class=3D"awspan" style=3D"lette= r-spacing:2.95pt"> </span><span class=3D"awspan">considerar,</span><span cl= ass=3D"awspan" style=3D"letter-spacing:2.95pt"> </span><span class=3D"awspa= n">a</span><span class=3D"awspan" style=3D"letter-spacing:2.95pt"> </span><= span class=3D"awspan">clarifica=C3=A7=C3=A3o</span><span class=3D"awspan" s= tyle=3D"letter-spacing:2.95pt"> </span><span class=3D"awspan">do</span><spa= n class=3D"awspan" style=3D"letter-spacing:2.95pt"> </span><span class=3D"a= wspan">termo paradigma</span><span class=3D"awspan" style=3D"letter-spacing= :1.45pt"> </span><span class=3D"awspan">=C3=A9</span><span class=3D"awspan"= style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">feita,</spa= n><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span clas= s=3D"awspan">com</span><span class=3D"awspan" style=3D"letter-spacing:1.45p= t"> </span><span class=3D"awspan">mais</span><span class=3D"awspan" style= =3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">profundidade,</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span cla= ss=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-spacing:1.45p= t"> </span><span class=3D"awspan">finais</span><span class=3D"awspan" style= =3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">da</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspa= n">d=C3=A9cada</span><span class=3D"awspan" style=3D"letter-spacing:1.45pt"= > </span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"le= tter-spacing:1.45pt"> </span><span class=3D"awspan">50</span><span class=3D= "awspan" style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">do<= /span><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span = class=3D"awspan">s=C3=A9culo</span><span class=3D"awspan" style=3D"letter-s= pacing:1.45pt"> </span><span class=3D"awspan">XX. Olhando</span><span class= =3D"awspan" style=3D"letter-spacing:1.8pt"> </span><span class=3D"awspan">p= ara</span><span class=3D"awspan" style=3D"letter-spacing:1.8pt"> </span><sp= an class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:= 1.8pt"> </span><span class=3D"awspan">diversidade</span><span class=3D"awsp= an" style=3D"letter-spacing:1.8pt"> </span><span class=3D"awspan">de</span>= <span class=3D"awspan" style=3D"letter-spacing:1.8pt"> </span><span class= =3D"awspan">perspetivas</span><span class=3D"awspan" style=3D"letter-spacin= g:1.8pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" sty= le=3D"letter-spacing:1.8pt"> </span><span class=3D"awspan">investiga=C3=A7= =C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:1.8pt"> </span= ><span class=3D"awspan">entre</span><span class=3D"awspan" style=3D"letter-= spacing:1.8pt"> </span><span class=3D"awspan">as</span><span class=3D"awspa= n" style=3D"letter-spacing:1.8pt"> </span><span class=3D"awspan">comunidade= s</span><span class=3D"awspan" style=3D"letter-spacing:1.8pt"> </span><span= class=3D"awspan">das ci=C3=AAncias</span><span class=3D"awspan" style=3D"l= etter-spacing:4.8pt"> </span><span class=3D"awspan">sociais</span><span cla= ss=3D"awspan" style=3D"letter-spacing:4.8pt"> </span><span class=3D"awspan"= >e</span><span class=3D"awspan" style=3D"letter-spacing:4.8pt"> </span><spa= n class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:4= .8pt"> </span><span class=3D"awspan">comunidade</span><span class=3D"awspan= " style=3D"letter-spacing:4.8pt"> </span><span class=3D"awspan">das</span><= span class=3D"awspan" style=3D"letter-spacing:4.8pt"> </span><span class=3D= "awspan">ci=C3=AAncias</span><span class=3D"awspan" style=3D"letter-spacing= :4.8pt"> </span><span class=3D"awspan">naturais;</span><span class=3D"awspa= n" style=3D"letter-spacing:4.8pt"> </span><span class=3D"awspan">observando= ,</span><span class=3D"awspan" style=3D"letter-spacing:4.8pt"> </span><span= class=3D"awspan">tamb=C3=A9m,</span><span class=3D"awspan" style=3D"letter= -spacing:4.8pt"> </span><span class=3D"awspan">os desacordos</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan= ">entre</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span= ><span class=3D"awspan">ambas</span><span class=3D"awspan" style=3D"letter-= spacing:0.6pt"> </span><span class=3D"awspan">em</span><span class=3D"awspa= n" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">rela=C3=A7= =C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span= ><span class=3D"awspan">=C3=A0</span><span class=3D"awspan" style=3D"letter= -spacing:0.6pt"> </span><span class=3D"awspan">natureza</span><span class= =3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">d= os</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><spa= n class=3D"awspan">m=C3=A9todos</span><span class=3D"awspan" style=3D"lette= r-spacing:0.6pt"> </span><span class=3D"awspan">e</span><span class=3D"awsp= an" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">aos</span= ><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class= =3D"awspan">problemas</span><span class=3D"awspan" style=3D"letter-spacing:= 0.6pt"> </span><span class=3D"awspan">cient=C3=ADficos considerados</span><= span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </span><span class= =3D"awspan">=E2=80=9Cleg=C3=ADtimos=E2=80=9D,</span><span class=3D"awspan" = style=3D"letter-spacing:-0.65pt"> </span><span class=3D"awspan">o</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </span><span class=3D= "awspan">conceito</span><span class=3D"awspan" style=3D"letter-spacing:-0.6= 5pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" style= =3D"letter-spacing:-0.65pt"> </span><span class=3D"awspan">paradigma</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </span><span class= =3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 65pt"> </span><span class=3D"awspan">enunciado</span><span class=3D"awspan"= style=3D"letter-spacing:-0.65pt"> </span><span class=3D"awspan">como</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </span><span clas= s=3D"awspan">=E2=80=9C[=E2=80=A6]</span><span class=3D"awspan" style=3D"let= ter-spacing:-0.65pt"> </span><span class=3D"awspan">as</span><span class=3D= "awspan" style=3D"letter-spacing:-0.65pt"> </span><span class=3D"awspan">re= aliza=C3=A7=C3=B5es cient=C3=ADficas</span><span class=3D"awspan" style=3D"= letter-spacing:0.15pt"> </span><span class=3D"awspan">universalmente</span>= <span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class= =3D"awspan">reconhecidas</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.15pt"> </span><span class=3D"awspan">que,</span><span class=3D"awspan"= style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">durante</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span cla= ss=3D"awspan">algum</span><span class=3D"awspan" style=3D"letter-spacing:0.= 15pt"> </span><span class=3D"awspan">tempo,</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">fornecem</span= ><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class= =3D"awspan">problemas e</span><span class=3D"awspan" style=3D"letter-spacin= g:0.1pt"> </span><span class=3D"awspan">solu=C3=A7=C3=B5es</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">= modelares</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </sp= an><span class=3D"awspan">para</span><span class=3D"awspan" style=3D"letter= -spacing:0.1pt"> </span><span class=3D"awspan">uma</span><span class=3D"aws= pan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">comunida= de</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><spa= n class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:= 0.1pt"> </span><span class=3D"awspan">praticantes</span><span class=3D"awsp= an" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">de</span>= <span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class= =3D"awspan">uma</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"= > </span><span class=3D"awspan">ci=C3=AAncia=E2=80=9D(Kuhn,</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan"= >1994, p.</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </s= pan><span class=3D"awspan">13).</span><span class=3D"awspan" style=3D"lette= r-spacing:0.25pt"> </span><span class=3D"awspan">Na</span><span class=3D"aw= span" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">expres= s=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </sp= an><span class=3D"awspan">=E2=80=9Cdurante</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">algum</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"= awspan">tempo=E2=80=9D</span><span class=3D"awspan" style=3D"letter-spacing= :0.25pt"> </span><span class=3D"awspan">pode-se</span><span class=3D"awspan= " style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">perceber</= span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span c= lass=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:0.= 25pt"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">paradigma</span><= span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class= =3D"awspan">adotado </span></p><p class=3D"awdiv"><span style=3D"height:0pt= ; display:block; position:absolute; z-index:11"><img src=3D"data:image/png;= 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></p><p class=3D"awdiv"><span class=3D"awspan" style=3D"font-family:Calibri= "> </span></p><p class=3D"awdiv"><span class=3D"awspan" style=3D"font-= family:Calibri; letter-spacing:3pt; color:#ffffff">    =              </= span><span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; l= etter-spacing:3pt; color:#ffffff">Conocimiento Cient=C3=ADfico</span><span = class=3D"awspan" style=3D"font-family:Calibri; letter-spacing:3pt; color:#f= fffff"> </span><span class=3D"awspan" style=3D"font-family:Calibri; letter-= spacing:3pt; color:#ffffff">      </span><span cla= ss=3D"awspan" style=3D"font-family:Calibri; letter-spacing:3pt; color:#ffff= ff">P=C3=A1gina</span><span class=3D"awspan" style=3D"font-family:Calibri; = color:#ffffff"> 129 | </span><span class=3D"awspan" style=3D"font-family:Ca= libri; font-size:11pt; color:#ffffff">139</span></p><p class=3D"awdiv"><spa= n class=3D"awspan" style=3D"color:#ffffff">ISSN: 3028-8665Vol. 4 No. 2.</sp= an><span class=3D"awspan" style=3D"color:#ffffff">  </span><span class= =3D"awspan" style=3D"color:#ffffff">pp. 126 =E2=80=93 139, abril =E2=80=93 = junio 2025Revista multidisciplinarArt=C3=ADculo original</span></p><p class= =3D"awdiv" style=3D"font-size:11pt"><span class=3D"awspan" style=3D"font-fa= mily:Ebrima; font-size:11pt; color:#ffffff">www.cienciayturismo.org</span><= /p><p class=3D"awdiv" style=3D"font-size:8pt"><span class=3D"awspan" style= =3D"font-size:8pt; font-style:italic">Esta revista est=C3=A1 protegida bajo= una licencia Creative Commons en la 4.0 International. 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f7zWjMQTYEqtARGW7tjyOc3d04u7sJ0VzX4WTlIAgBIiyWECoet4umC67LZKtEDGJ8Oto7Q+CpW= kBScbSChvoG9Ho902bMYOKkSSxYeCf/2P53nlm7lqamJubPn8/w4cNDESeEIBAIYLfbOXbsGG+/= /Taf7t/HLdm3cNePFtLb66KsrIy271oHAXa97V/JkF6PnP6/071S62b6nZ1d3LN4MQCqpgWJweZ= LzQB0dHQSFRPD9Jn/QVRUJP/4cAcvvvgCZWVl5OTkkJGRQVxcHB6Ph4sXL3Ly5Mlgg9rZTt70fG= 6bN4+ICCsfbt1G+f6D9Hl9VyyuqiqpqakAoaoppaSzs5Po6GgCgQBdXV03dN5oNBIREYHD4QgRm= C6Xi+TkZBRF4dKlS6H8eyMJDw8nLS2Nzs5Ompub0ev1IZqpr6/vJpoCKbiy5YBgY/nBu++x6sFV= 5ORMYEhsHIcOHOJ4xXFOnvwavd6AXq9H07TgAkKQmmpjyQ+Xckv2OExGI9u3lXLwOoABxMXF8co= rr1BfX09vby9VVVVMmjQp9Hh/8803OXHixA3dHjNmDKtWreKtt94iOzubnp4ePB4Pd999N36/n9= 27d7Nr165Qz3g9KS4uxu/3o6oqW7ZswWQysXr1al566SVOnDhx3R5ysFwDmuYPUHP2LP/98susW= LGCsWPH8pMlP2HOvDk0NjTSdOkidrsdnaLDZrMxLNVGSnIK4eZwXK5e/ra5hH2f7MPnvf6JBWly= K8ePHycrK4uamhqKiop49dVXkVJSXV19U4fNZjNjxoxh+fLlOJ1OWlpamDBhAps2baKtrY2IiAh= 0Ot1NbUyfPp2dO3dy+vRpuru7mTlzJhaLhby8PKqrq783Uq8BrR+4pvoLvLjhJebcNoeC2QXExc= cyJCmByUou/VSJpmlogQDuXhdHv/qKXWW7qK2tveJhfrVIKVFVlaioKBITEzEYDPz+97/niy++Y= Ny4cVewHdcTIQRHjhwhIyODsLAw9u7dS2RkJK2trXR1deH3+2+6vqIoFBcXk5+fz8qVK9m3bx/J= yck0NTVRVFRESUnJDUEL0vc3AC04A9zOXnb9fSdHPv+SMWPHMmLkCGJiYggzGdECAXp6nDRfvMS= pU6c4V1t30yvRL5qm0d3dTWtr6+UHPdTW1nLp0iXq6+tDdNGNxOfz0dnZycaNG1m7di0Oh4ODBw= +ybNky/H4/TU1NvPvuuzf0RVVVli1bxq5duwgEAowaNYq+vj5qa2tJTU0lMzOTL7/88sawSImor= q6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f28OGCwWi4WFCxei0+k4d+4cJ06cwOv1snjxYkpKSr7X= VkJCAikpKdTW1pKbm0tjYyPt7e0UFBQghODw4cM0Nzff1E5WVhbTp0/n4sWLNDcHC2BlZSU5OTl= 4vV6qqqquq1dWVsa8efMQDQ0N8v777/+XNz1YBhOK/67+/0b36rX/FXvXmzN47GY2nnvuOXJycv= 4tf//fy/8AgnKjIiDLf+gAAAAASUVORK5CYII=3D" width=3D"77" height=3D"28" alt=3D= "" style=3D"margin-left:443.3pt; position:absolute" /></span><span class=3D= "awspan">por</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt">= </span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.25pt"> </span><span class=3D"awspan">comunidade</span><span= class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"a= wspan">cient=C3=ADfica</span><span class=3D"awspan" style=3D"letter-spacing= :-0.25pt"> </span><span class=3D"awspan">n=C3=A3o</span><span class=3D"awsp= an" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">=C3=A9<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span= class=3D"awspan">eterno</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.25pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">nem,</span><= span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class= =3D"awspan">t=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.25pt"> </span><span class=3D"awspan">pouco,</span><span class=3D"awspan" = style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">insubstitu= =C3=ADvel</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </= span><span class=3D"awspan">sendo</span><span class=3D"awspan" style=3D"let= ter-spacing:-0.25pt"> </span><span class=3D"awspan">aceite na medida em que= se consegue, a partir dele, formular problemas e apresentar solu=C3=A7=C3= =B5es. </span></p><p class=3D"awdiv"><span class=3D"awspan">Na</span><span = class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"aws= pan">=C3=A1rea</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"= > </span><span class=3D"awspan">em</span><span class=3D"awspan" style=3D"le= tter-spacing:1.15pt"> </span><span class=3D"awspan">que</span><span class= =3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">= nos</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><s= pan class=3D"awspan">situamos,</span><span class=3D"awspan" style=3D"letter= -spacing:1.15pt"> </span><span class=3D"awspan">n=C3=A3o</span><span class= =3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">= se</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><sp= an class=3D"awspan">elege</span><span class=3D"awspan" style=3D"letter-spac= ing:1.15pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">apresenta=C3= =A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </= span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter= -spacing:1.15pt"> </span><span class=3D"awspan">solu=C3=A7=C3=B5es</span><s= pan class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D= "awspan">como</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt">= </span><span class=3D"awspan">objetivo principal.</span><span class=3D"aws= pan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">Por=C3= =A9m,</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span>= <span class=3D"awspan">nota-se</span><span class=3D"awspan" style=3D"letter= -spacing:0.75pt"> </span><span class=3D"awspan">claramente</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan"= >que,</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span>= <span class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-spac= ing:0.75pt"> </span><span class=3D"awspan">certos</span><span class=3D"awsp= an" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">pontos</= span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span c= lass=3D"awspan">da</span><span class=3D"awspan" style=3D"letter-spacing:0.7= 5pt"> </span><span class=3D"awspan">defini=C3=A7=C3=A3o</span><span class= =3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">= de</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><sp= an class=3D"awspan">paradigma, Kuhn</span><span class=3D"awspan" style=3D"l= etter-spacing:0.1pt"> </span><span class=3D"awspan">(1994)</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">= apresenta</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </sp= an><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-sp= acing:0.1pt"> </span><span class=3D"awspan">sua</span><span class=3D"awspan= " style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">prefer=C3= =AAncia</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span= ><span class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-spa= cing:0.1pt"> </span><span class=3D"awspan">rela=C3=A7=C3=A3o</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan= ">ao</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><s= pan class=3D"awspan">paradigma</span><span class=3D"awspan" style=3D"letter= -spacing:0.1pt"> </span><span class=3D"awspan">no</span><span class=3D"awsp= an" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">qual</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class= =3D"awspan">foi</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"= > </span><span class=3D"awspan">treinado</span><span class=3D"awspan" style= =3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">=E2=80=93 o</span>= <span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span class= =3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:3.2pt"= > </span><span class=3D"awspan">se</span><span class=3D"awspan" style=3D"le= tter-spacing:3.2pt"> </span><span class=3D"awspan">inscreve</span><span cla= ss=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan"= >no</span><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><sp= an class=3D"awspan">=C3=A2mbito</span><span class=3D"awspan" style=3D"lette= r-spacing:3.2pt"> </span><span class=3D"awspan">das</span><span class=3D"aw= span" style=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan">ci=C3= =AAncias</span><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </spa= n><span class=3D"awspan">naturais</span><span class=3D"awspan" style=3D"let= ter-spacing:3.2pt"> </span><span class=3D"awspan">(o</span><span class=3D"a= wspan" style=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan">da</sp= an><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span clas= s=3D"awspan">F=C3=ADsica</span><span class=3D"awspan" style=3D"letter-spaci= ng:3.2pt"> </span><span class=3D"awspan">para</span><span class=3D"awspan" = style=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan">sermos</span>= <span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span class= =3D"awspan">mais espec=C3=ADficos).</span></p><p class=3D"awdiv"><span clas= s=3D"awspan">Retomando</span><span class=3D"awspan" style=3D"letter-spacing= :0.85pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">discuss=C3=A3o</= span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span c= lass=3D"awspan">da</span><span class=3D"awspan" style=3D"letter-spacing:0.8= 5pt"> </span><span class=3D"awspan">n=C3=A3o</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">eternidade</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span cl= ass=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spacing:0.85= pt"> </span><span class=3D"awspan">paradigma,</span><span class=3D"awspan" = style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">refira-se</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span cl= ass=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:0.8= 5pt"> </span><span class=3D"awspan">quando</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">=C3=A0</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D= "awspan">luz</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> = </span><span class=3D"awspan">de um</span><span class=3D"awspan" style=3D"l= etter-spacing:5pt"> </span><span class=3D"awspan">determinado</span><span c= lass=3D"awspan" style=3D"letter-spacing:5pt"> </span><span class=3D"awspan"= >paradigma</span><span class=3D"awspan" style=3D"letter-spacing:5pt"> </spa= n><span class=3D"awspan">j=C3=A1</span><span class=3D"awspan" style=3D"lett= er-spacing:5pt"> </span><span class=3D"awspan">n=C3=A3o</span><span class= =3D"awspan" style=3D"letter-spacing:5pt"> </span><span class=3D"awspan">se<= /span><span class=3D"awspan" style=3D"letter-spacing:5pt"> </span><span cla= ss=3D"awspan">consegue</span><span class=3D"awspan" style=3D"letter-spacing= :5pt"> </span><span class=3D"awspan">corrigir</span><span class=3D"awspan" = style=3D"letter-spacing:5pt"> </span><span class=3D"awspan">anomalias</span= ><span class=3D"awspan" style=3D"letter-spacing:5pt"> </span><span class=3D= "awspan">consideradas relevantes,</span><span class=3D"awspan" style=3D"let= ter-spacing:-0.15pt"> </span><span class=3D"awspan">as</span><span class=3D= "awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">li= mita=C3=A7=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 15pt"> </span><span class=3D"awspan">v=C3=AAm</span><span class=3D"awspan" = style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">ao</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class= =3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt= "> </span><span class=3D"awspan">cima,</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">originando</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span clas= s=3D"awspan">com</span><span class=3D"awspan" style=3D"letter-spacing:-0.15= pt"> </span><span class=3D"awspan">isso</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">um</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"aws= pan">processo</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"= > </span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.15pt"> </span><span class=3D"awspan">revolu=C3=A7=C3=A3o ci= ent=C3=ADfica</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt">= </span><span class=3D"awspan">=E2=80=93</span><span class=3D"awspan" style= =3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">considerado</span= ><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class= =3D"awspan">como</span><span class=3D"awspan" style=3D"letter-spacing:1.75p= t"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"l= etter-spacing:1.75pt"> </span><span class=3D"awspan">padr=C3=A3o</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"a= wspan">normal</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt">= </span><span class=3D"awspan">do</span><span class=3D"awspan" style=3D"let= ter-spacing:1.75pt"> </span><span class=3D"awspan">desenvolvimento</span><s= pan class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D= "awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> <= /span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"lett= er-spacing:1.75pt"> </span><span class=3D"awspan">=E2=80=9Cci=C3=AAncia ama= durecida=E2=80=9D</span><span class=3D"awspan" style=3D"font-size:8pt">1</s= pan><span class=3D"awspan">.</span><span class=3D"awspan" style=3D"letter-s= pacing:0.6pt"> </span><span class=3D"awspan">Assim,</span><span class=3D"aw= span" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">na</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class= =3D"awspan">asser=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter= -spacing:0.6pt"> </span><span class=3D"awspan">Kuhniana</span><span class= =3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">d= o</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span= class=3D"awspan">termo,</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.6pt"> </span><span class=3D"awspan">=C3=A9</span><span class=3D"awspan= " style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">dif=C3=ADci= l</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span= class=3D"awspan">falar-se</span><span class=3D"awspan" style=3D"letter-spa= cing:0.6pt"> </span><span class=3D"awspan">em</span><span class=3D"awspan" = style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">hibridismo pa= radigm=C3=A1tico,</span><span class=3D"awspan" style=3D"letter-spacing:3.25= pt"> </span><span class=3D"awspan">em</span><span class=3D"awspan" style=3D= "letter-spacing:3.25pt"> </span><span class=3D"awspan">pluralidade</span><s= pan class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span class=3D= "awspan">paradigm=C3=A1tica</span><span class=3D"awspan" style=3D"letter-sp= acing:3.25pt"> </span><span class=3D"awspan">ou</span><span class=3D"awspan= " style=3D"letter-spacing:3.25pt"> </span><span class=3D"awspan">at=C3=A9</= span><span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span c= lass=3D"awspan">mesmo</span><span class=3D"awspan" style=3D"letter-spacing:= 3.25pt"> </span><span class=3D"awspan">num</span><span class=3D"awspan" sty= le=3D"letter-spacing:3.25pt"> </span><span class=3D"awspan">paradigma</span= ><span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span class= =3D"awspan">quali-quantitativo,</span><span class=3D"awspan" style=3D"lette= r-spacing:0.4pt"> </span><span class=3D"awspan">pois</span><span class=3D"a= wspan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">nesta<= /span><span class=3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span c= lass=3D"awspan">perspetiva</span><span class=3D"awspan" style=3D"letter-spa= cing:0.4pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan" = style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">paradigmas</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span cla= ss=3D"awspan">s=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing= :0.4pt"> </span><span class=3D"awspan">=C3=BAnicos</span><span class=3D"aws= pan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">e,</span= ><span class=3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span class= =3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:0.4pt">= </span><span class=3D"awspan">certo</span><span class=3D"awspan" style=3D"= letter-spacing:0.4pt"> </span><span class=3D"awspan">modo,</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">= est=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.4pt"> </s= pan><span class=3D"awspan">em constantes</span><span class=3D"awspan" style= =3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">confrontos</span><= span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D= "awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </s= pan><span class=3D"awspan">tens=C3=B5es</span><span class=3D"awspan" style= =3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">uns</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan= ">para</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span>= <span class=3D"awspan">com</span><span class=3D"awspan" style=3D"letter-spa= cing:0.3pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan" = style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">outros,</span= ><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class= =3D"awspan">ou</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt">= </span><span class=3D"awspan">seja,</span><span class=3D"awspan" style=3D"= letter-spacing:0.3pt"> </span><span class=3D"awspan">o</span><span class=3D= "awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">que<= /span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span c= lass=3D"awspan">carrega</span><span class=3D"awspan" style=3D"letter-spacin= g:0.3pt"> </span><span class=3D"awspan">sentido</span><span class=3D"awspan= " style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">=C3=A0 luz<= /span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span c= lass=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:0.1= pt"> </span><span class=3D"awspan">um</span><span class=3D"awspan" style=3D= "letter-spacing:0.1pt"> </span><span class=3D"awspan">paradigma</span><span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"aws= pan">j=C3=A1</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> <= /span><span class=3D"awspan">n=C3=A3o</span><span class=3D"awspan" style=3D= "letter-spacing:0.1pt"> </span><span class=3D"awspan">faz</span><span class= =3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">t= anto</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><s= pan class=3D"awspan">sentido</span><span class=3D"awspan" style=3D"letter-s= pacing:0.1pt"> </span><span class=3D"awspan">=C3=A0</span><span class=3D"aw= span" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">luz</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span clas= s=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"= > </span><span class=3D"awspan">outro</span><span class=3D"awspan" style=3D= "letter-spacing:0.1pt"> </span><span class=3D"awspan">=E2=80=93</span><span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"aws= pan">tendo</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </s= pan><span class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-= spacing:0.1pt"> </span><span class=3D"awspan">conta</span><span class=3D"aw= span" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">o</span= ><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class= =3D"awspan">processo de</span><span class=3D"awspan" style=3D"letter-spacin= g:1.3pt"> </span><span class=3D"awspan">revolu=C3=A7=C3=A3o.</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan= ">Logo,</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span= ><span class=3D"awspan">=E2=80=9C[=E2=80=A6]</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">existem</span>= <span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class= =3D"awspan">circunst=C3=A2ncias,</span><span class=3D"awspan" style=3D"lett= er-spacing:1.3pt"> </span><span class=3D"awspan">embora</span><span class= =3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">e= u</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span= class=3D"awspan">pense</span><span class=3D"awspan" style=3D"letter-spacin= g:1.3pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" st= yle=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">s=C3=A3o</span>= <span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class= =3D"awspan">raras,</span><span class=3D"awspan" style=3D"letter-spacing:1.3= pt"> </span><span class=3D"awspan">nas quais</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">dois</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"a= wspan">paradigmas</span><span class=3D"awspan" style=3D"letter-spacing:0.9p= t"> </span><span class=3D"awspan">podem</span><span class=3D"awspan" style= =3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">coexistir</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"= awspan">pacificamente</span><span class=3D"awspan" style=3D"letter-spacing:= 0.9pt"> </span><span class=3D"awspan">nos</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">per=C3=ADodos</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span clas= s=3D"awspan">p=C3=B3s-paradigm=C3=A1ticos (Kuhn, 1994, p. 14).</span><span = class=3D"awspan" style=3D"font-size:10pt"> </span></p><p class=3D"awdiv"><s= pan class=3D"awspan" style=3D"font-style:italic">1.1. O que diferencia um p= aradigma de outro?</span></p><p class=3D"awdiv"><span class=3D"awspan">O</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span cla= ss=3D"awspan">debate</span><span class=3D"awspan" style=3D"letter-spacing:0= .9pt"> </span><span class=3D"awspan">sobre</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">a</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan= ">quest=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt">= </span><span class=3D"awspan">levantada</span><span class=3D"awspan" style= =3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">acima</span><span = class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awsp= an">teve</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </spa= n><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spa= cing:0.9pt"> </span><span class=3D"awspan">seu</span><span class=3D"awspan"= style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">in=C3=ADcio<= /span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span c= lass=3D"awspan">na</span><span class=3D"awspan" style=3D"letter-spacing:0.9= pt"> </span><span class=3D"awspan">d=C3=A9cada</span><span class=3D"awspan"= style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">de</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"a= wspan">50</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </sp= an><span class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-s= pacing:0.9pt"> </span><span class=3D"awspan">s=C3=A9culo XX.</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspa= n">Esse</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </spa= n><span class=3D"awspan">assunto,</span><span class=3D"awspan" style=3D"let= ter-spacing:1.55pt"> </span><span class=3D"awspan">abriu</span><span class= =3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">= o</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><spa= n class=3D"awspan">primeiro</span><span class=3D"awspan" style=3D"letter-sp= acing:1.55pt"> </span><span class=3D"awspan">dos</span><span class=3D"awspa= n" style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">dois</spa= n><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span clas= s=3D"awspan">grandes</span><span class=3D"awspan" style=3D"letter-spacing:1= .55pt"> </span><span class=3D"awspan">debates</span><span class=3D"awspan" = style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">no</span><sp= an class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"= awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> <= /span><span class=3D"awspan">diz</span><span class=3D"awspan" style=3D"lett= er-spacing:1.55pt"> </span><span class=3D"awspan">respeito</span><span clas= s=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan"= >aos paradigmas - debate que se estende at=C3=A9 aos dias de hoje (cf. Denz= in, 2010, p. 421).</span></p><p class=3D"awdiv"><a id=3D"_Hlk153447456"></a= ><span class=3D"awspan">No</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.7pt"> </span><span class=3D"awspan">conceito</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">de</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span cl= ass=3D"awspan">paradigma</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.7pt"> </span><span class=3D"awspan">enunciado</span><span class=3D"aw= span" style=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">por</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span cl= ass=3D"awspan">Kuhn</span><span class=3D"awspan" style=3D"letter-spacing:-0= .7pt"> </span><span class=3D"awspan">(1994)</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">pode</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span class=3D"= awspan">se</span><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </= span><span class=3D"awspan">perceber</span><span class=3D"awspan" style=3D"= letter-spacing:-0.7pt"> </span><span class=3D"awspan">que,</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan"= >com</span><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><= span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.7pt"> </span><span class=3D"awspan">passar do</span><span class=3D"aws= pan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">tempo,<= /span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span = class=3D"awspan">certos</span><span class=3D"awspan" style=3D"letter-spacin= g:0.65pt"> </span><span class=3D"awspan">paradigmas</span><span class=3D"aw= span" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">podem<= /span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span = class=3D"awspan">emergir</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.65pt"> </span><span class=3D"awspan">num</span><span class=3D"awspan" = style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">dado</span><= span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class= =3D"awspan">campo</span><span class=3D"awspan" style=3D"letter-spacing:0.65= pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D= "letter-spacing:0.65pt"> </span><span class=3D"awspan">investiga=C3=A7=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><= span class=3D"awspan">fruto</span><span class=3D"awspan" style=3D"letter-sp= acing:0.65pt"> </span><span class=3D"awspan">de um</span><span class=3D"aws= pan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">process= o</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><spa= n class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:= 0.15pt"> </span><span class=3D"awspan">revolu=C3=A7=C3=A3o.</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan= ">Mas,</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span= ><span class=3D"awspan">este</span><span class=3D"awspan" style=3D"letter-s= pacing:0.15pt"> </span><span class=3D"awspan">elemento</span><span class=3D= "awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">por= </span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span= class=3D"awspan">si</span><span class=3D"awspan" style=3D"letter-spacing:0= .15pt"> </span><span class=3D"awspan">s=C3=B3</span><span class=3D"awspan" = style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">n=C3=A3o</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span cla= ss=3D"awspan">explica</span><span class=3D"awspan" style=3D"letter-spacing:= 0.15pt"> </span><span class=3D"awspan">ao</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">fundo</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"a= wspan">o</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </sp= an><span class=3D"awspan">cerne</span><span class=3D"awspan" style=3D"lette= r-spacing:0.15pt"> </span><span class=3D"awspan">da quest=C3=A3o</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"= awspan">aqui</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt">= </span><span class=3D"awspan">levantada,</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">ou</span><span = class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"aw= span">seja,</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> = </span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.35pt"> </span><span class=3D"awspan">elemento</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan= ">tempo</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </sp= an><span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"lett= er-spacing:-0.35pt"> </span><span class=3D"awspan">apenas</span><span class= =3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan"= >um</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><= span class=3D"awspan">inv=C3=B3lucro</span><span class=3D"awspan" style=3D"= letter-spacing:-0.35pt"> </span><span class=3D"awspan">uma</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan= ">membrana que</span><span class=3D"awspan" style=3D"letter-spacing:3pt"> <= /span><span class=3D"awspan">precisamos</span><span class=3D"awspan" style= =3D"letter-spacing:3pt"> </span><span class=3D"awspan">romper</span><span c= lass=3D"awspan" style=3D"letter-spacing:3pt"> </span><span class=3D"awspan"= >para</span><span class=3D"awspan" style=3D"letter-spacing:3pt"> </span><sp= an class=3D"awspan">termos</span><span class=3D"awspan" style=3D"letter-spa= cing:3pt"> </span><span class=3D"awspan">no=C3=A7=C3=A3o</span><span class= =3D"awspan" style=3D"letter-spacing:3pt"> </span><span class=3D"awspan">do<= /span><span class=3D"awspan" style=3D"letter-spacing:3pt"> </span><span cla= ss=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:3pt"= > </span><span class=3D"awspan">est=C3=A1</span><span class=3D"awspan" styl= e=3D"letter-spacing:3pt"> </span><span class=3D"awspan">mais</span><span cl= ass=3D"awspan" style=3D"letter-spacing:3pt"> </span><span class=3D"awspan">= al=C3=A9m</span><span class=3D"awspan" style=3D"letter-spacing:3pt"> </span= ><span class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spa= cing:3pt"> </span><span class=3D"awspan">processo</span><span class=3D"awsp= an" style=3D"letter-spacing:3pt"> </span><span class=3D"awspan">de revolu= =C3=A7=C3=A3o.</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt">= </span><span class=3D"awspan">Assim,</span><span class=3D"awspan" style=3D= "letter-spacing:1.2pt"> </span><span class=3D"awspan">n=C3=A3o</span><span = class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awsp= an">negando</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </= span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-= spacing:1.2pt"> </span><span class=3D"awspan">facto</span><span class=3D"aw= span" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">de</spa= n><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class= =3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"= > </span><span class=3D"awspan">possa</span><span class=3D"awspan" style=3D= "letter-spacing:1.2pt"> </span><span class=3D"awspan">haver</span><span cla= ss=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan"= >outros,</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </spa= n><span class=3D"awspan">entende-se</span><span class=3D"awspan" style=3D"l= etter-spacing:1.2pt"> </span><span class=3D"awspan">que,</span><span class= =3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">n= o essencial,</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> <= /span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter= -spacing:3.9pt"> </span><span class=3D"awspan">que</span><span class=3D"aws= pan" style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan">diferenc= ia</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> </span><spa= n class=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing:= 3.9pt"> </span><span class=3D"awspan">paradigma</span><span class=3D"awspan= " style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan">de</span><s= pan class=3D"awspan" style=3D"letter-spacing:3.9pt"> </span><span class=3D"= awspan">outro</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> = </span><span class=3D"awspan">s=C3=A3o:</span><span class=3D"awspan" style= =3D"letter-spacing:3.9pt"> </span><span class=3D"awspan">as</span><span cla= ss=3D"awspan" style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan"= >quest=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt">= </span><span class=3D"awspan">ontol=C3=B3gicas, epistemol=C3=B3gicas</span= ><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class= =3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt">= </span><span class=3D"awspan">metodol=C3=B3gicas</span><span class=3D"awsp= an" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">que</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span clas= s=3D"awspan">cada</span><span class=3D"awspan" style=3D"letter-spacing:0.15= pt"> </span><span class=3D"awspan">um</span><span class=3D"awspan" style=3D= "letter-spacing:0.15pt"> </span><span class=3D"awspan">deles</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspa= n">levanta.</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> <= /span><span class=3D"awspan">S=C3=A3o</span><span class=3D"awspan" style=3D= "letter-spacing:0.15pt"> </span><span class=3D"awspan">estas</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspa= n">quest=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:0.15p= t"> </span><span class=3D"awspan">que,</span><span class=3D"awspan" style= =3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">em alguns</span><= span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D= "awspan">casos,</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"= > </span><span class=3D"awspan">influenciam</span><span class=3D"awspan" st= yle=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">e,</span><span = class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awsp= an">noutros,</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> <= /span><span class=3D"awspan">determinam</span><span class=3D"awspan" style= =3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">as</span><span cla= ss=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan"= >op=C3=A7=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:1.2p= t"> </span><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"l= etter-spacing:1.2pt"> </span><span class=3D"awspan">os</span><span class=3D= "awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">posi= cionamentos</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </= span><span class=3D"awspan">dos investigadores</span><span class=3D"awspan"= style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">numa</span>= <span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class= =3D"awspan">determinada</span><span class=3D"awspan" style=3D"letter-spacin= g:0.55pt"> </span><span class=3D"awspan">investiga=C3=A7=C3=A3o</span><span= class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"aw= span">e,</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </sp= an><span class=3D"awspan">desde</span><span class=3D"awspan" style=3D"lette= r-spacing:0.55pt"> </span><span class=3D"awspan">j=C3=A1,</span><span class= =3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">= n=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </sp= an><span class=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-s= pacing:0.55pt"> </span><span class=3D"awspan">pode</span><span class=3D"aws= pan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">negar</= span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span c= lass=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:0.= 55pt"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style= =3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">seu conhecimento<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.55pt"> </span><span= class=3D"awspan">joga</span><span class=3D"awspan" style=3D"letter-spacing= :-0.55pt"> </span><span class=3D"awspan">um</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.55pt"> </span><span class=3D"awspan">papel</span><= span class=3D"awspan" style=3D"letter-spacing:-0.55pt"> </span><span class= =3D"awspan">importante</span><span class=3D"awspan" style=3D"letter-spacing= :-0.55pt"> </span><span class=3D"awspan">no</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.55pt"> </span><span class=3D"awspan">desenvolvimen= to</span><span class=3D"awspan" style=3D"letter-spacing:-0.55pt"> </span><s= pan class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.55pt"> </span><span class=3D"awspan">processo</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.55pt"> </span><span class=3D"awspan">de</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.55pt"> </span><span cl= ass=3D"awspan">investiga=C3=A7=C3=A3o na</span><span class=3D"awspan" style= =3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">=C3=A1rea</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">em</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt= "> </span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"= letter-spacing:-0.05pt"> </span><span class=3D"awspan">nos</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan= ">movemos,</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> <= /span><span class=3D"awspan">revemos,</span><span class=3D"awspan" style=3D= "letter-spacing:-0.05pt"> </span><span class=3D"awspan">inscrevemos</span><= span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"= > </span><span class=3D"awspan">nos</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.05pt"> </span><span class=3D"awspan">propomos</span><span = class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"aw= span">investigar.</span><span class=3D"awspan" style=3D"letter-spacing:-0.0= 5pt"> </span><span class=3D"awspan" style=3D"font-style:italic">What</span>= <span class=3D"awspan" style=3D"font-style:italic; letter-spacing:-0.05pt">= </span><span class=3D"awspan" style=3D"font-style:italic">is </span></p><p= class=3D"awdiv" style=3D"padding-bottom:10pt; font-size:10pt"><span class= =3D"awspan" style=3D"font-family:Arial; font-size:6.5pt">1</span><span clas= s=3D"awspan" style=3D"font-family:Arial; font-size:10pt; letter-spacing:-0.= 05pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">Para</span><s= pan class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.05pt"> </sp= an><span class=3D"awspan" style=3D"font-size:10pt">Kuhn,</span><span class= =3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.05pt"> </span><span = class=3D"awspan" style=3D"font-size:10pt">muitas</span><span class=3D"awspa= n" style=3D"font-size:10pt; letter-spacing:-0.05pt"> </span><span class=3D"= awspan" style=3D"font-size:10pt">das</span><span class=3D"awspan" style=3D"= font-size:10pt; letter-spacing:-0.05pt"> </span><span class=3D"awspan" styl= e=3D"font-size:10pt">ci=C3=AAncias</span><span class=3D"awspan" style=3D"fo= nt-size:10pt; letter-spacing:-0.05pt"> </span><span class=3D"awspan" style= =3D"font-size:10pt">-</span><span class=3D"awspan" style=3D"font-size:10pt;= letter-spacing:-0.05pt"> </span><span class=3D"awspan" style=3D"font-size:= 10pt">fora</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spa= cing:-0.05pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">do</s= pan><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.05pt"= > </span><span class=3D"awspan" style=3D"font-size:10pt">=C3=A2mbito</span>= <span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.05pt"> </= span><span class=3D"awspan" style=3D"font-size:10pt">das</span><span class= =3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.05pt"> </span><span = class=3D"awspan" style=3D"font-size:10pt">ci=C3=AAncias</span><span class= =3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.05pt"> </span><span = class=3D"awspan" style=3D"font-size:10pt">naturais</span><span class=3D"aws= pan" style=3D"font-size:10pt; letter-spacing:-0.05pt"> </span><span class= =3D"awspan" style=3D"font-size:10pt">-</span><span class=3D"awspan" style= =3D"font-size:10pt; letter-spacing:-0.05pt"> </span><span class=3D"awspan" = style=3D"font-size:10pt">eram</span><span class=3D"awspan" style=3D"font-si= ze:10pt; letter-spacing:-0.05pt"> </span><span class=3D"awspan" style=3D"fo= nt-size:10pt">pr=C3=A9-paradigm=C3=A1ticas,</span><span class=3D"awspan" st= yle=3D"font-size:10pt; letter-spacing:-0.05pt"> </span><span class=3D"awspa= n" style=3D"font-size:10pt">ou</span><span class=3D"awspan" style=3D"font-s= ize:10pt; letter-spacing:-0.05pt"> </span><span class=3D"awspan" style=3D"f= ont-size:10pt">seja, ainda n=C3=A3o eran/estavam amadurecidas. </span></p><= p class=3D"awdiv"><span style=3D"height:0pt; display:block; position:absolu= te; z-index:13"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA= yEAAARkCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJ= REFUeJzsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P/ondr7N= mzumz026mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74PhgbsfLi5cAGHIoL+PxGQwAFy8AC6A93ktOf= HDf+RQUFBQUGgKOG/OI9UehwMAWesoYlPe2AiEix9YuzbAwa1xOAhMIr4nABgnQlb3cRPiEZsQA= pNzGNwEYQxaLAItogOMwpQrEgprq0CYDchvi2GLsJatHbivKQfEuQhc0b3P5oLUMa2knO5zb8tb= r2wNzpWtwkadZ8B0pjIHCLj4qXFeqs4LFwi3xoPcgICDu2a+dWTWepD7t+aw+M4E5xycc1CfXGt= 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2RkJK2trXR1deH3+2+6vqIoFBcXk5+fz8qVK9m3bx/Jyck0NTVRVFRESUnJDUEL0vc3AC04A9zO= Xnb9fSdHPv+SMWPHMmLkCGJiYggzGdECAXp6nDRfvMSpU6c4V1t30yvRL5qm0d3dTWtr6+UHPdT= W1nLp0iXq6+tDdNGNxOfz0dnZycaNG1m7di0Oh4ODBw+ybNky/H4/TU1NvPvuuzf0RVVVli1bxq= 5duwgEAowaNYq+vj5qa2tJTU0lMzOTL7/88sawSImorq6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f= 28OGCwWi4WFCxei0+k4d+4cJ06cwOv1snjxYkpKSr7XVkJCAikpKdTW1pKbm0tjYyPt7e0UFBQg= hODw4cM0Nzff1E5WVhbTp0/n4sWLNDcHC2BlZSU5OTl4vV6qqqquq1dWVsa8efMQDQ0N8v777/+= XNz1YBhOK/67+/0b36rX/FXvXmzN47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAAASUVORK= 5CYII=3D" width=3D"77" height=3D"28" alt=3D"" style=3D"margin-left:443.3pt;= position:absolute" /></span><span class=3D"awspan" style=3D"font-style:ita= lic">the</span><span class=3D"awspan" style=3D"font-style:italic; letter-sp= acing:2.7pt"> </span><span class=3D"awspan" style=3D"font-style:italic">nat= ure</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing= :2.7pt"> </span><span class=3D"awspan" style=3D"font-style:italic">of</span= ><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:2.7pt"> = </span><span class=3D"awspan" style=3D"font-style:italic">the</span><span c= lass=3D"awspan" style=3D"font-style:italic; letter-spacing:2.7pt"> </span><= span class=3D"awspan" style=3D"font-style:italic">=E2=80=9Cknowble=E2=80=9D= ?</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:2= .7pt"> </span><span class=3D"awspan" style=3D"font-style:italic">Or,</span>= <span class=3D"awspan" style=3D"font-style:italic; letter-spacing:2.7pt"> <= /span><span class=3D"awspan" style=3D"font-style:italic">what</span><span c= lass=3D"awspan" style=3D"font-style:italic; letter-spacing:2.7pt"> </span><= span class=3D"awspan" style=3D"font-style:italic">is</span><span class=3D"a= wspan" style=3D"font-style:italic; letter-spacing:2.7pt"> </span><span clas= s=3D"awspan" style=3D"font-style:italic">the</span><span class=3D"awspan" s= tyle=3D"font-style:italic; letter-spacing:2.7pt"> </span><span class=3D"aws= pan" style=3D"font-style:italic">nature</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:2.7pt"> </span><span class=3D"awspan"= style=3D"font-style:italic">of</span><span class=3D"awspan" style=3D"font-= style:italic; letter-spacing:2.7pt"> </span><span class=3D"awspan" style=3D= "font-style:italic">=E2=80=9Creality=E2=80=9D?</span><span class=3D"awspan"= style=3D"letter-spacing:2.7pt"> </span><span class=3D"awspan">=C3=A9</span= ><span class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span class= =3D"awspan">uma</span><span class=3D"awspan" style=3D"letter-spacing:2.7pt"= > </span><span class=3D"awspan">quest=C3=A3o ontol=C3=B3gica;</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspa= n" style=3D"font-style:italic">What</span><span class=3D"awspan" style=3D"f= ont-style:italic; letter-spacing:0.1pt"> </span><span class=3D"awspan" styl= e=3D"font-style:italic">is</span><span class=3D"awspan" style=3D"font-style= :italic; letter-spacing:0.1pt"> </span><span class=3D"awspan" style=3D"font= -style:italic">the</span><span class=3D"awspan" style=3D"font-style:italic;= letter-spacing:0.1pt"> </span><span class=3D"awspan" style=3D"font-style:i= talic">nature</span><span class=3D"awspan" style=3D"font-style:italic; lett= er-spacing:0.1pt"> </span><span class=3D"awspan" style=3D"font-style:italic= ">of</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacin= g:0.1pt"> </span><span class=3D"awspan" style=3D"font-style:italic">the</sp= an><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.1pt"= > </span><span class=3D"awspan" style=3D"font-style:italic">relationship</s= pan><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.1pt= "> </span><span class=3D"awspan" style=3D"font-style:italic">between</span>= <span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.1pt"> <= /span><span class=3D"awspan" style=3D"font-style:italic">the</span><span cl= ass=3D"awspan" style=3D"font-style:italic; letter-spacing:0.1pt"> </span><s= pan class=3D"awspan" style=3D"font-style:italic">knower</span><span class= =3D"awspan" style=3D"font-style:italic; letter-spacing:0.1pt"> </span><span= class=3D"awspan" style=3D"font-style:italic">(the</span><span class=3D"aws= pan" style=3D"font-style:italic; letter-spacing:0.1pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">inquirer)</span><span class=3D"awsp= an" style=3D"font-style:italic; letter-spacing:0.1pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">and the</span><span class=3D"awspan= " style=3D"font-style:italic; letter-spacing:0.65pt"> </span><span class=3D= "awspan" style=3D"font-style:italic">known</span><span class=3D"awspan" sty= le=3D"font-style:italic; letter-spacing:0.65pt"> </span><span class=3D"awsp= an" style=3D"font-style:italic">(or</span><span class=3D"awspan" style=3D"f= ont-style:italic; letter-spacing:0.65pt"> </span><span class=3D"awspan" sty= le=3D"font-style:italic">knowable)?</span><span class=3D"awspan" style=3D"l= etter-spacing:0.65pt"> </span><span class=3D"awspan">=C3=A9</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan= ">uma</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span>= <span class=3D"awspan">quest=C3=A3o</span><span class=3D"awspan" style=3D"l= etter-spacing:0.65pt"> </span><span class=3D"awspan">epistemol=C3=B3gica</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span cl= ass=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.65p= t"> </span><span class=3D"awspan" style=3D"font-style:italic">How</span><sp= an class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.65pt"> </s= pan><span class=3D"awspan" style=3D"font-style:italic">should</span><span c= lass=3D"awspan" style=3D"font-style:italic; letter-spacing:0.65pt"> </span>= <span class=3D"awspan" style=3D"font-style:italic">the</span><span class=3D= "awspan" style=3D"font-style:italic; letter-spacing:0.65pt"> </span><span c= lass=3D"awspan" style=3D"font-style:italic">inquirer</span><span class=3D"a= wspan" style=3D"font-style:italic; letter-spacing:0.65pt"> </span><span cla= ss=3D"awspan" style=3D"font-style:italic">go about</span><span class=3D"aws= pan" style=3D"font-style:italic; letter-spacing:0.5pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">finding</span><span class=3D"awspan= " style=3D"font-style:italic; letter-spacing:0.5pt"> </span><span class=3D"= awspan" style=3D"font-style:italic">out</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:0.5pt"> </span><span class=3D"awspan"= style=3D"font-style:italic">knowledge?</span><span class=3D"awspan" style= =3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">Por</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan= ">fim,</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span>= <span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-= spacing:0.5pt"> </span><span class=3D"awspan">uma</span><span class=3D"awsp= an" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">quest=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><s= pan class=3D"awspan">metodol=C3=B3gica</span><span class=3D"awspan" style= =3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">(cf.</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspa= n">Guba,</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </spa= n><span class=3D"awspan">1990,</span><span class=3D"awspan" style=3D"letter= -spacing:0.5pt"> </span><span class=3D"awspan">p. 18).</span><span class=3D= "awspan" style=3D"letter-spacing:2.6pt"> </span><span class=3D"awspan">As</= span><span class=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><span cl= ass=3D"awspan">quest=C3=B5es</span><span class=3D"awspan" style=3D"letter-s= pacing:2.6pt"> </span><span class=3D"awspan">levantadas</span><span class= =3D"awspan" style=3D"letter-spacing:2.6pt"> </span><span class=3D"awspan">a= cima</span><span class=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><s= pan class=3D"awspan">podem</span><span class=3D"awspan" style=3D"letter-spa= cing:2.6pt"> </span><span class=3D"awspan">nos</span><span class=3D"awspan"= style=3D"letter-spacing:2.6pt"> </span><span class=3D"awspan">ajudar</span= ><span class=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><span class= =3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:2.6pt"> = </span><span class=3D"awspan">identificar</span><span class=3D"awspan" styl= e=3D"letter-spacing:2.6pt"> </span><span class=3D"awspan">os</span><span cl= ass=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><span class=3D"awspan= ">paradigmas</span><span class=3D"awspan" style=3D"letter-spacing:2.6pt"> <= /span><span class=3D"awspan">e conhecer os seus pontos de diverg=C3=AAncia = e refor=C3=A7ando a quest=C3=A3o:</span></p><p class=3D"awdiv"><a id=3D"_Hl= k153448124"></a><span class=3D"awspan">A</span><span class=3D"awspan" style= =3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">paradigm</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D= "awspan">is</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> <= /span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter= -spacing:0.65pt"> </span><span class=3D"awspan">world</span><span class=3D"= awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">view= ,</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><spa= n class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:0= .65pt"> </span><span class=3D"awspan">general</span><span class=3D"awspan" = style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">perspective,= </span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span= class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:0.= 65pt"> </span><span class=3D"awspan">way</span><span class=3D"awspan" style= =3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">of</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspa= n">breaking</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> <= /span><span class=3D"awspan">down</span><span class=3D"awspan" style=3D"let= ter-spacing:0.65pt"> </span><span class=3D"awspan">the complexity</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"= awspan">of</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </= span><span class=3D"awspan">the</span><span class=3D"awspan" style=3D"lette= r-spacing:0.75pt"> </span><span class=3D"awspan">real</span><span class=3D"= awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">worl= d.</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><sp= an class=3D"awspan">As</span><span class=3D"awspan" style=3D"letter-spacing= :0.75pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">such,</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"a= wspan">paradigms</span><span class=3D"awspan" style=3D"letter-spacing:0.75p= t"> </span><span class=3D"awspan">are</span><span class=3D"awspan" style=3D= "letter-spacing:0.75pt"> </span><span class=3D"awspan">deeply</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awsp= an">embedded</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> = </span><span class=3D"awspan">in</span><span class=3D"awspan" style=3D"lett= er-spacing:0.75pt"> </span><span class=3D"awspan">the socialization</span><= span class=3D"awspan" style=3D"letter-spacing:4.9pt"> </span><span class=3D= "awspan">of</span><span class=3D"awspan" style=3D"letter-spacing:4.9pt"> </= span><span class=3D"awspan">adherents</span><span class=3D"awspan" style=3D= "letter-spacing:4.9pt"> </span><span class=3D"awspan">and</span><span class= =3D"awspan" style=3D"letter-spacing:4.9pt"> </span><span class=3D"awspan">p= ractitioners:</span><span class=3D"awspan" style=3D"letter-spacing:4.9pt"> = </span><span class=3D"awspan">Paradigms</span><span class=3D"awspan" style= =3D"letter-spacing:4.9pt"> </span><span class=3D"awspan">tell</span><span c= lass=3D"awspan" style=3D"letter-spacing:4.9pt"> </span><span class=3D"awspa= n">them</span><span class=3D"awspan" style=3D"letter-spacing:4.9pt"> </span= ><span class=3D"awspan">what</span><span class=3D"awspan" style=3D"letter-s= pacing:4.9pt"> </span><span class=3D"awspan">is important,</span><span clas= s=3D"awspan" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan">le= gitimate,</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </span= ><span class=3D"awspan">and</span><span class=3D"awspan" style=3D"letter-sp= acing:1pt"> </span><span class=3D"awspan">reasonable.</span><span class=3D"= awspan" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan">Paradig= ms</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </span><span = class=3D"awspan">are</span><span class=3D"awspan" style=3D"letter-spacing:1= pt"> </span><span class=3D"awspan">also</span><span class=3D"awspan" style= =3D"letter-spacing:1pt"> </span><span class=3D"awspan">normative,</span><sp= an class=3D"awspan" style=3D"letter-spacing:1pt"> </span><span class=3D"aws= pan">telling</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </s= pan><span class=3D"awspan">the practitioner</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan">what</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class= =3D"awspan">to</span><span class=3D"awspan" style=3D"letter-spacing:-0.45pt= "> </span><span class=3D"awspan">do</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.45pt"> </span><span class=3D"awspan">without</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class=3D"aws= pan">the</span><span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </s= pan><span class=3D"awspan">necessity</span><span class=3D"awspan" style=3D"= letter-spacing:-0.45pt"> </span><span class=3D"awspan">of</span><span class= =3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan"= >long</span><span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> </span= ><span class=3D"awspan">existential</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.45pt"> </span><span class=3D"awspan">or</span><span class= =3D"awspan" style=3D"letter-spacing:-0.45pt"> </span><span class=3D"awspan"= >epistemological consideration (Patton, 1990, p. 37)</span></p><p class=3D"= awdiv"><span class=3D"awspan">Muitos,</span><span class=3D"awspan" style=3D= "letter-spacing:0.5pt"> </span><span class=3D"awspan">dos</span><span class= =3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">t= =C3=B3picos</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </= span><span class=3D"awspan">incorporados</span><span class=3D"awspan" style= =3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">nesta</span><span = class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awsp= an">defini=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacin= g:0.5pt"> </span><span class=3D"awspan">s=C3=A3o</span><span class=3D"awspa= n" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">discutidos= </span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span = class=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing:0.= 5pt"> </span><span class=3D"awspan">pouco</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">mais</span><span = class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awsp= an">adiante neste</span><span class=3D"awspan" style=3D"letter-spacing:-0.1= 5pt"> </span><span class=3D"awspan">excerto</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">no</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"= awspan">t=C3=B3pico</span><span class=3D"awspan" style=3D"letter-spacing:-0= .15pt"> </span><span class=3D"awspan">dos</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">paradigmas</spa= n><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span cla= ss=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-0.15p= t"> </span><span class=3D"awspan">m=C3=A9todos.</span><span class=3D"awspan= " style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">Por</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span clas= s=3D"awspan">agora,</span><span class=3D"awspan" style=3D"letter-spacing:-0= .15pt"> </span><span class=3D"awspan">gostar=C3=ADamos</span><span class=3D= "awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">de= </span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><spa= n class=3D"awspan">apresentar, n=C3=A3o</span><span class=3D"awspan" style= =3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">apenas</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"a= wspan">os</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </s= pan><span class=3D"awspan">conceitos,</span><span class=3D"awspan" style=3D= "letter-spacing:0.45pt"> </span><span class=3D"awspan">mas</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan"= >as</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><s= pan class=3D"awspan">correntes</span><span class=3D"awspan" style=3D"letter= -spacing:0.45pt"> </span><span class=3D"awspan">designadas</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan"= >como</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span>= <span class=3D"awspan">tal.</span><span class=3D"awspan" style=3D"letter-sp= acing:0.45pt"> </span><span class=3D"awspan">Afinal</span><span class=3D"aw= span" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">quais<= /span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span = class=3D"awspan">s=C3=A3o,</span><span class=3D"awspan" style=3D"letter-spa= cing:0.45pt"> </span><span class=3D"awspan">ent=C3=A3o, os</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan"= >paradigmas</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> <= /span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"lett= er-spacing:-0.2pt"> </span><span class=3D"awspan">aqui</span><span class=3D= "awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">pre= tendemos</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </sp= an><span class=3D"awspan">discutir</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.2pt"> </span><span class=3D"awspan">em</span><span class=3D= "awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">con= creto?</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span= ><span class=3D"awspan">Como</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.2pt"> </span><span class=3D"awspan">se</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">diferenci= am</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><sp= an class=3D"awspan">uns</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.2pt"> </span><span class=3D"awspan">aos outros</span><span class=3D"aw= span" style=3D"letter-spacing:3.35pt"> </span><span class=3D"awspan">em</sp= an><span class=3D"awspan" style=3D"letter-spacing:3.35pt"> </span><span cla= ss=3D"awspan">rela=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"lette= r-spacing:3.35pt"> </span><span class=3D"awspan">=C3=A0s</span><span class= =3D"awspan" style=3D"letter-spacing:3.35pt"> </span><span class=3D"awspan">= quest=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:3.35pt">= </span><span class=3D"awspan">ontol=C3=B3gicas,</span><span class=3D"awspa= n" style=3D"letter-spacing:3.35pt"> </span><span class=3D"awspan">epistemol= =C3=B3gicas</span><span class=3D"awspan" style=3D"letter-spacing:3.35pt"> <= /span><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter= -spacing:3.35pt"> </span><span class=3D"awspan">metodol=C3=B3gicas?</span><= span class=3D"awspan" style=3D"letter-spacing:3.35pt"> </span><span class= =3D"awspan">Para responder</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.35pt"> </span><span class=3D"awspan">=C3=A0</span><span class=3D"aw= span" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">quest= =C3=A3o,</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </s= pan><span class=3D"awspan">nos</span><span class=3D"awspan" style=3D"letter= -spacing:-0.35pt"> </span><span class=3D"awspan">baseamos,</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan= ">principalmente,</span><span class=3D"awspan" style=3D"letter-spacing:-0.3= 5pt"> </span><span class=3D"awspan">nas</span><span class=3D"awspan" style= =3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">propostas</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class= =3D"awspan">apresentadas</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.35pt"> </span><span class=3D"awspan">por</span><span class=3D"awspan"= style=3D"letter-spacing:-0.35pt"> </span><a id=3D"_Hlk153448484"></a><span= class=3D"awspan">Guba e</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.05pt"> </span><span class=3D"awspan">Lincoln</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">(1988)= </span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><spa= n class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.05pt"> </span><span class=3D"awspan">Guba</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">(1990).</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span clas= s=3D"awspan">Assim,</span><span class=3D"awspan" style=3D"letter-spacing:-0= .05pt"> </span><span class=3D"awspan">no</span><span class=3D"awspan" style= =3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">quadro</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D= "awspan">=E2=80=93</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 05pt"> </span><span class=3D"awspan">1,</span><span class=3D"awspan" style= =3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">apresentamos</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span cl= ass=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:-0.0= 5pt"> </span><span class=3D"awspan">forma</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">resumida os par= adigmas e as suas inquieta=C3=A7=C3=B5es ontol=C3=B3gicas epistemol=C3=B3gi= cas e metodol=C3=B3gicas.</span></p><p class=3D"awdiv"><span class=3D"awspa= n" style=3D"font-weight:bold">Quadro 1</span></p><p class=3D"awdiv"><span c= lass=3D"awspan" style=3D"font-style:italic">Os paradigmas e as suas quest= =C3=B5es ontol=C3=B3gicas, epistemol=C3=B3gicas e metodol=C3=B3gicas.</span= ></p><p class=3D"awdiv" style=3D"font-size:10pt"><a id=3D"_Hlk88572305"></a= ><span class=3D"awspan" style=3D"font-size:10pt; font-weight:bold">Paradigm= s</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awsp= an" style=3D"font-size:10pt; font-weight:bold">Ontology</span></p><p class= =3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-si= ze:10pt; font-weight:bold">Epistemology</span></p><p class=3D"awdiv" style= =3D"font-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt; font-we= ight:bold">Methodology</span></p><p class=3D"awdiv" style=3D"font-size:10pt= "><span class=3D"awspan" style=3D"font-size:10pt">Positivism</span></p><p c= lass=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"fon= t-size:10pt">Realist</span></p><p class=3D"awdiv" style=3D"font-size:10pt">= <span class=3D"awspan" style=3D"font-size:10pt">Dualist/objectivist</span><= /p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style= =3D"font-size:10pt">Experimental/manipulative</span></p><p class=3D"awdiv" = style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt">Po= spositivism</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span cla= ss=3D"awspan" style=3D"font-size:10pt">Critical realist</span></p><p class= =3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-si= ze:10pt">Modified objetivist</span></p><p class=3D"awdiv" style=3D"font-siz= e:10pt"><span class=3D"awspan" style=3D"font-size:10pt">Modified Experiment= al/manipulative</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span= class=3D"awspan" style=3D"font-size:10pt">Critical Theory</span></p><p cla= ss=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-= size:10pt">Critical realist</span></p><p class=3D"awdiv" style=3D"font-size= :10pt"><span class=3D"awspan" style=3D"font-size:10pt">Subjectivist</span><= /p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style= =3D"font-size:10pt">Dialogic, transformative</span></p><p class=3D"awdiv" s= tyle=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt">Con= structivism</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span cla= ss=3D"awspan" style=3D"font-size:10pt">Relativist</span></p><p class=3D"awd= iv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt= ">Subjectivist</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span = class=3D"awspan" style=3D"font-size:10pt">Hermeneutic, dialectic</span></p>= <p class=3D"awdiv"><span class=3D"awspan">Fonte: </span><span class=3D"awsp= an" style=3D"font-size:10pt">Adaptado de Guba e Lincoln (1988); Guba (1990)= .</span></p><p class=3D"awdiv" style=3D"padding-bottom:10pt"><span class=3D= "awspan">A</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> <= /span><span class=3D"awspan">partir</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.25pt"> </span><span class=3D"awspan">do</span><span class= =3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan"= >quadro</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </sp= an><span class=3D"awspan">1,</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.25pt"> </span><span class=3D"awspan">antes</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">de</= span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span = class=3D"awspan">assinalar</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.25pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan= " style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">desacordo= s</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><sp= an class=3D"awspan">entre</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.25pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan"= style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">paradigmas= </span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><spa= n class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-spacing:= -0.25pt"> </span><span class=3D"awspan">fun=C3=A7=C3=A3o</span><span class= =3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan"= >das suas</span><span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </s= pan><span class=3D"awspan">bases</span><span class=3D"awspan" style=3D"lett= er-spacing:1.65pt"> </span><span class=3D"awspan">ontol=C3=B3gicas,</span><= span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span class= =3D"awspan">epistemol=C3=B3gicas</span><span class=3D"awspan" style=3D"lett= er-spacing:1.65pt"> </span><span class=3D"awspan">e</span><span class=3D"aw= span" style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">metodo= l=C3=B3gicas</span><span class=3D"awspan" style=3D"letter-spacing:1.65pt"> = </span><span class=3D"awspan">no</span><span class=3D"awspan" style=3D"lett= er-spacing:1.65pt"> </span><span class=3D"awspan">quadro</span><span class= =3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">= 1,</span><span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><sp= an class=3D"awspan">passaremos</span><span class=3D"awspan" style=3D"letter= -spacing:1.65pt"> </span><span class=3D"awspan">de forma</span><span class= =3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">= resumida</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </sp= an><span class=3D"awspan">as</span><span class=3D"awspan" style=3D"letter-s= pacing:1.15pt"> </span><span class=3D"awspan">principais</span><span class= =3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">= caracter=C3=ADsticas</span><span class=3D"awspan" style=3D"letter-spacing:1= .15pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" style= =3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">cada</span><span = class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"aws= pan">um</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </spa= n><span class=3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-s= pacing:1.15pt"> </span><span class=3D"awspan">paradigmas</span><span class= =3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">= nele</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><= span class=3D"awspan">descrito. Come=C3=A7ando</span><span class=3D"awspan"= style=3D"letter-spacing:5.25pt"> </span><span class=3D"awspan">pelo</span>= <span class=3D"awspan" style=3D"letter-spacing:5.25pt"> </span><span class= =3D"awspan">primeiro,</span><span class=3D"awspan" style=3D"letter-spacing:= 5.25pt"> </span><span class=3D"awspan">como,</span><span class=3D"awspan" s= tyle=3D"letter-spacing:5.25pt"> </span><span class=3D"awspan">realmente,</s= pan><span class=3D"awspan" style=3D"letter-spacing:5.25pt"> </span><span cl= ass=3D"awspan">as</span><span class=3D"awspan" style=3D"letter-spacing:5.25= pt"> </span><span class=3D"awspan">coisas</span><span class=3D"awspan" styl= e=3D"letter-spacing:5.25pt"> </span><span class=3D"awspan">s=C3=A3o?</span>= <span class=3D"awspan" style=3D"letter-spacing:5.25pt"> </span><span class= =3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:5.25pt">= </span><span class=3D"awspan">como</span><span class=3D"awspan" style=3D"l= etter-spacing:5.25pt"> </span><span class=3D"awspan">as</span><span class= =3D"awspan" style=3D"letter-spacing:5.25pt"> </span><span class=3D"awspan">= coisas funcionam,realmente?</span><span class=3D"awspan" style=3D"letter-sp= acing:1.6pt"> </span><span class=3D"awspan">s=C3=A3o</span><span class=3D"a= wspan" style=3D"letter-spacing:1.6pt"> </span><span class=3D"awspan">quest= =C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </spa= n><span class=3D"awspan">ontol=C3=B3gicas</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.6pt"> </span><span class=3D"awspan">como</span><span = class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><span class=3D"awsp= an">j=C3=A1</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </= span><span class=3D"awspan">dissemos</span><span class=3D"awspan" style=3D"= letter-spacing:1.6pt"> </span><span class=3D"awspan">atr=C3=A1s.</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><a id=3D"_Hlk1534= 48979"></a><span class=3D"awspan">O</span><span class=3D"awspan" style=3D"l= etter-spacing:1.6pt"> </span><span class=3D"awspan">paradigma positivista</= span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span cl= ass=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spacing:0.1p= t"> </span><span class=3D"awspan">encontra</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">enraizado</span>= <span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class= =3D"awspan">numa</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt= "> </span><span class=3D"awspan">=E2=80=9C</span><span class=3D"awspan" sty= le=3D"font-style:italic">realist</span><span class=3D"awspan" style=3D"font= -style:italic; letter-spacing:0.1pt"> </span><span class=3D"awspan" style= =3D"font-style:italic">ontology</span><span class=3D"awspan">=E2=80=9D,</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span clas= s=3D"awspan">quer</span><span class=3D"awspan" style=3D"letter-spacing:0.1p= t"> </span><span class=3D"awspan">dizer,</span><span class=3D"awspan" style= =3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">na</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan"= >cren=C3=A7a</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> <= /span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"lette= r-spacing:0.1pt"> </span><span class=3D"awspan">que</span><span class=3D"aw= span" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">a </spa= n></p><p class=3D"awdiv"><span style=3D"height:0pt; display:block; position= :absolute; z-index:15"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSU= hEUgAAAyEAAARkCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOG= wAAIABJREFUeJzsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P= /ondr7Nmzumz026mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74PhgbsfLi5cAGHIoL+PxGQwAFy8AC6= 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style=3D"font-family:Calibri; font-size:11pt; letter-spacing:3pt; color:= #ffffff">Conocimiento Cient=C3=ADfico</span><span class=3D"awspan" style=3D= "font-family:Calibri; letter-spacing:3pt; color:#ffffff"> </span><span clas= s=3D"awspan" style=3D"font-family:Calibri; letter-spacing:3pt; color:#fffff= f">      </span><span class=3D"awspan" style=3D"fo= nt-family:Calibri; letter-spacing:3pt; color:#ffffff">P=C3=A1gina</span><sp= an class=3D"awspan" style=3D"font-family:Calibri; color:#ffffff"> 131 | </s= pan><span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; co= lor:#ffffff">139</span></p><p class=3D"awdiv"><span class=3D"awspan" style= =3D"color:#ffffff">ISSN: 3028-8665Vol. 4 No. 2.</span><span class=3D"awspan= " style=3D"color:#ffffff">  </span><span class=3D"awspan" style=3D"col= or:#ffffff">pp. 126 =E2=80=93 139, abril =E2=80=93 junio 2025Revista multid= isciplinarArt=C3=ADculo original</span></p><p class=3D"awdiv" style=3D"font= -size:11pt"><span class=3D"awspan" style=3D"font-family:Ebrima; font-size:1= 1pt; color:#ffffff">www.cienciayturismo.org</span></p><p class=3D"awdiv" st= yle=3D"font-size:8pt"><span class=3D"awspan" style=3D"font-size:8pt; font-s= tyle:italic">Esta revista est=C3=A1 protegida bajo una licencia Creative Co= mmons en la 4.0 International. Copia de la licencia: </span><a href=3D"http= ://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:non= e"></a></p><p class=3D"awdiv" style=3D"font-size:8pt"><a href=3D"http://cre= ativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"><sp= an class=3D"awspan" style=3D"font-size:8pt; text-decoration:underline; colo= r:#0563c1">http://creativecommons.org/licenses/by-nc-sa/4.0/</span></a></p>= <p style=3D"font-size:8pt"><span class=3D"awspan" style=3D"font-size:8pt">&= #xa0;</span></p><p class=3D"awdiv"><span style=3D"height:0pt; display:block= ; position:absolute; z-index:16"><img src=3D"data:image/png;base64,iVBORw0K= GgoAAAANSUhEUgAAAE0AAAAcCAYAAAAk2zLiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAA= ADsQBlSsOGwAAEz9JREFUaIHlmHt01NW1xz/nN7+ZzCOZPMkTJgmvBCIhgBAS4EICCI1FpXJLRe= BiEasVWWrrWnZpG2lRV8HHtauWWh9FIfUBBlqCIBV5BF9AIGICQhJIQiAmmTwmmcwjM/M7948hk= /C0q3fdv+7+Y2bWmbP32ed79tl7n6/wej3y2zNn8AcCCAUABFeJvGpEBieJa6bIqzVDIwKQcsC6= 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Aw9u7dS2RkJK2trXR1deH3+2+6vqIoFBcXk5+fz8qVK9m3bx/Jyck0NTVRVFRESUnJDUEL0vc3A= C04A9zOXnb9fSdHPv+SMWPHMmLkCGJiYggzGdECAXp6nDRfvMSpU6c4V1t30yvRL5qm0d3dTWtr= 6+UHPdTW1nLp0iXq6+tDdNGNxOfz0dnZycaNG1m7di0Oh4ODBw+ybNky/H4/TU1NvPvuuzf0RVV= Vli1bxq5duwgEAowaNYq+vj5qa2tJTU0lMzOTL7/88sawSImorq6WWVlZ37tZIQSKomAwGEKNrM= fjwe/3f28OGCwWi4WFCxei0+k4d+4cJ06cwOv1snjxYkpKSr7XVkJCAikpKdTW1pKbm0tjYyPt7= e0UFBQghODw4cM0Nzff1E5WVhbTp0/n4sWLNDcHC2BlZSU5OTl4vV6qqqquq1dWVsa8efMQDQ0N= 8v777/+XNz1YBhOK/67+/0b36rX/FXvXmzN47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAA= ASUVORK5CYII=3D" width=3D"77" height=3D"28" alt=3D"" style=3D"margin-left:4= 43.3pt; position:absolute" /></span><span class=3D"awspan">realidade</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class= =3D"awspan">est=C3=A1</span><span class=3D"awspan" style=3D"letter-spacing:= -0.35pt"> </span><span class=3D"awspan">por</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">fora</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class= =3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"= > </span><span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style= =3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">guiada</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D= "awspan">pelas</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt= "> </span><span class=3D"awspan">imut=C3=A1veis</span><span class=3D"awspan= " style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">leis</spa= n><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span cla= ss=3D"awspan">da</span><span class=3D"awspan" style=3D"letter-spacing:-0.35= pt"> </span><span class=3D"awspan">natureza.</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">A</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"= awspan">luz</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> = </span><span class=3D"awspan">deste</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.35pt"> </span><span class=3D"awspan">paradigma, o</span><s= pan class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D= "awspan">importante</span><span class=3D"awspan" style=3D"letter-spacing:1.= 25pt"> </span><span class=3D"awspan">para</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">a</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D"awspa= n">ci=C3=AAncia</span><span class=3D"awspan" style=3D"letter-spacing:1.25pt= "> </span><span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style= =3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">descobrir</span><= span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class= =3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:1.25pt">= </span><span class=3D"awspan">verdadeira</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">natureza</span><= span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class= =3D"awspan">da</span><span class=3D"awspan" style=3D"letter-spacing:1.25pt"= > </span><span class=3D"awspan">realidade</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">e</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D"awspa= n">como</span><span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </spa= n><span class=3D"awspan">ela realmente</span><span class=3D"awspan" style= =3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">funciona,</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"= awspan">ou</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </s= pan><span class=3D"awspan">seja,</span><span class=3D"awspan" style=3D"lett= er-spacing:0.1pt"> </span><span class=3D"awspan">o</span><span class=3D"aws= pan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">fim</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class= =3D"awspan">=C3=BAltimo</span><span class=3D"awspan" style=3D"letter-spacin= g:0.1pt"> </span><span class=3D"awspan">da</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">ci=C3=AAncia</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span clas= s=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-spacing:0.= 1pt"> </span><span class=3D"awspan">predizer</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.1pt"> </span><span class=3D"awspan">e</span><span = class=3D"awspan" style=3D"letter-spacing:0.1pt"> </span><span class=3D"awsp= an">controlar</span><span class=3D"awspan" style=3D"letter-spacing:0.1pt"> = </span><span class=3D"awspan">os</span><span class=3D"awspan" style=3D"lett= er-spacing:0.1pt"> </span><span class=3D"awspan">fen=C3=B3menos naturais.</= span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span c= lass=3D"awspan">O</span><span class=3D"awspan" style=3D"letter-spacing:-0.2= pt"> </span><span class=3D"awspan">positivismo</span><span class=3D"awspan"= style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">=C3=A9</spa= n><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span clas= s=3D"awspan">caraterizado</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.2pt"> </span><span class=3D"awspan">por</span><span class=3D"awspan"= style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">uma</span><= span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class= =3D"awspan">epistemologia</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.2pt"> </span><span class=3D"awspan">objetivista,</span><span class= =3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">= ou</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><sp= an class=3D"awspan">seja,</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.2pt"> </span><span class=3D"awspan">por</span><span class=3D"awspan"= style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">um conhecim= ento</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><s= pan class=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spaci= ng:3.1pt"> </span><span class=3D"awspan">se</span><span class=3D"awspan" st= yle=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">assume</span><s= pan class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D"= awspan">ser</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </= span><span class=3D"awspan">objetivo.</span><span class=3D"awspan" style=3D= "letter-spacing:3.1pt"> </span><span class=3D"awspan">Este</span><span clas= s=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">= paradigma</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </sp= an><span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"lett= er-spacing:3.1pt"> </span><span class=3D"awspan">caraterizado</span><span c= lass=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D"awspa= n">por</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span>= <span class=3D"awspan">uma metodologia experimental que consiste na manipul= a=C3=A7=C3=A3o do objeto em estudo.</span></p><p class=3D"awdiv"><span clas= s=3D"awspan">O</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt= "> </span><span class=3D"awspan">p=C3=B3s-positivismo</span><span class=3D"= awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">por= </span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><spa= n class=3D"awspan">sua</span><span class=3D"awspan" style=3D"letter-spacing= :-0.25pt"> </span><span class=3D"awspan">vez,</span><span class=3D"awspan" = style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">constru=C3= =ADdo</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span= ><span class=3D"awspan">inicialmente</span><span class=3D"awspan" style=3D"= letter-spacing:-0.25pt"> </span><span class=3D"awspan">como</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspa= n">uma</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </spa= n><span class=3D"awspan">tentativa</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.25pt"> </span><span class=3D"awspan">de</span><span class= =3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan"= >superar</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </s= pan><span class=3D"awspan">as limita=C3=A7=C3=B5es</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">do</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span cl= ass=3D"awspan">positivismo,</span><span class=3D"awspan" style=3D"letter-sp= acing:-0.05pt"> </span><span class=3D"awspan">assenta</span><span class=3D"= awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">na<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span= class=3D"awspan">ideia</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.05pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">que</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">pese</span><span class=3D"awspan" style=3D"letter-spacing:-0.05= pt"> </span><span class=3D"awspan">embora,</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">o</span><span = class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"aw= span">mundo</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> = </span><span class=3D"awspan">seja</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.05pt"> </span><span class=3D"awspan">conduzido por</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"= awspan">causas</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt">= </span><span class=3D"awspan">naturais</span><span class=3D"awspan" style= =3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">existente</span><s= pan class=3D"awspan" style=3D"font-size:10pt">s</span><span class=3D"awspan= ">,</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><sp= an class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-spa= cing:0.6pt"> </span><span class=3D"awspan">imposs=C3=ADvel</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">= para</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><s= pan class=3D"awspan">os</span><span class=3D"awspan" style=3D"letter-spacin= g:0.6pt"> </span><span class=3D"awspan">humanos</span><span class=3D"awspan= " style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">perceb=C3= =AA-la</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span>= <span class=3D"awspan">usando</span><span class=3D"awspan" style=3D"letter-= spacing:0.6pt"> </span><span class=3D"awspan">os</span><span class=3D"awspa= n" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">seus mecan= ismos sensoriais e intelectuais. </span></p><p class=3D"awdiv"><a id=3D"_Hl= k153449212"></a><span class=3D"awspan">Diferente</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">do</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span clas= s=3D"awspan">positivismo,</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.05pt"> </span><span class=3D"awspan">aqui</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">se</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span clas= s=3D"awspan">privilegia,</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.05pt"> </span><span class=3D"awspan">ontologicamente,</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspa= n">uma</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </spa= n><span class=3D"awspan">=E2=80=9Ccr=C3=ADtica</span><span class=3D"awspan"= style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">da</span><= span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">realidade=E2=80=9D afastando-se</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">assim</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"a= wspan">de</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </sp= an><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"letter-= spacing:0.5pt"> </span><span class=3D"awspan">=E2=80=9C</span><span class= =3D"awspan" style=3D"font-style:italic">naive</span><span class=3D"awspan" = style=3D"font-style:italic; letter-spacing:0.5pt"> </span><span class=3D"aw= span" style=3D"font-style:italic">realist</span><span class=3D"awspan" styl= e=3D"font-style:italic; letter-spacing:0.5pt"> </span><span class=3D"awspan= " style=3D"font-style:italic">posture</span><span class=3D"awspan">=E2=80= =9D.</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><s= pan class=3D"awspan">Neste</span><span class=3D"awspan" style=3D"letter-spa= cing:0.5pt"> </span><span class=3D"awspan">paradigma</span><span class=3D"a= wspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">consid= era-se</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span>= <span class=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spa= cing:0.5pt"> </span><span class=3D"awspan">o conhecimento</span><span class= =3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">a= ssenta</span><span class=3D"awspan" style=3D"letter-spacing:0.4pt"> </span>= <span class=3D"awspan">numa</span><span class=3D"awspan" style=3D"letter-sp= acing:0.4pt"> </span><span class=3D"awspan">epistemologia</span><span class= =3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">= =E2=80=9C</span><span class=3D"awspan" style=3D"font-style:italic">modified= </span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.= 4pt"> </span><span class=3D"awspan" style=3D"font-style:italic">objetivist<= /span><span class=3D"awspan">=E2=80=9D,</span><span class=3D"awspan" style= =3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">ou</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan"= >seja,</span><span class=3D"awspan" style=3D"letter-spacing:0.4pt"> </span>= <span class=3D"awspan">considera-se</span><span class=3D"awspan" style=3D"l= etter-spacing:0.4pt"> </span><span class=3D"awspan">a objetividade</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D= "awspan">como</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt">= </span><span class=3D"awspan">um</span><span class=3D"awspan" style=3D"let= ter-spacing:-0.4pt"> </span><span class=3D"awspan">ideal</span><span class= =3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">= regulador,</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </= span><span class=3D"awspan">mas</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.4pt"> </span><span class=3D"awspan">tamb=C3=A9m</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspa= n">se</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span>= <span class=3D"awspan">reconhece</span><span class=3D"awspan" style=3D"lett= er-spacing:-0.4pt"> </span><span class=3D"awspan">que</span><span class=3D"= awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">ela<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span = class=3D"awspan">n=C3=A3o</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.4pt"> </span><span class=3D"awspan">=C3=A9</span><span class=3D"awsp= an" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">alcan=C3= =A7ada de</span><span class=3D"awspan" style=3D"letter-spacing:5.15pt"> </s= pan><span class=3D"awspan">forma</span><span class=3D"awspan" style=3D"lett= er-spacing:5.15pt"> </span><span class=3D"awspan">absoluta.</span><span cla= ss=3D"awspan" style=3D"letter-spacing:5.15pt"> </span><span class=3D"awspan= ">A</span><span class=3D"awspan" style=3D"letter-spacing:5.15pt"> </span><s= pan class=3D"awspan">objetividade</span><span class=3D"awspan" style=3D"let= ter-spacing:5.15pt"> </span><span class=3D"awspan">=C3=A9</span><span class= =3D"awspan" style=3D"letter-spacing:5.15pt"> </span><span class=3D"awspan">= vista</span><span class=3D"awspan" style=3D"letter-spacing:5.15pt"> </span>= <span class=3D"awspan">como</span><span class=3D"awspan" style=3D"letter-sp= acing:5.15pt"> </span><span class=3D"awspan">sendo</span><span class=3D"aws= pan" style=3D"letter-spacing:5.15pt"> </span><span class=3D"awspan">razoave= lmente</span><span class=3D"awspan" style=3D"letter-spacing:5.15pt"> </span= ><span class=3D"awspan">fechada, esfor=C3=A7ando-se</span><span class=3D"aw= span" style=3D"letter-spacing:1.6pt"> </span><span class=3D"awspan">para</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><span cla= ss=3D"awspan">ser</span><span class=3D"awspan" style=3D"letter-spacing:1.6p= t"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"l= etter-spacing:1.6pt"> </span><span class=3D"awspan">mais</span><span class= =3D"awspan" style=3D"letter-spacing:1.6pt"> </span><span class=3D"awspan">n= eutra</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><= span class=3D"awspan">poss=C3=ADvel.</span><span class=3D"awspan" style=3D"= letter-spacing:1.6pt"> </span><span class=3D"awspan">Metodologicamente,</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><span clas= s=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt">= </span><span class=3D"awspan">p=C3=B3s-positivismo baseia-se</span><span c= lass=3D"awspan" style=3D"letter-spacing:3.85pt"> </span><span class=3D"awsp= an">numa</span><span class=3D"awspan" style=3D"letter-spacing:3.85pt"> </sp= an><span class=3D"awspan">experimenta=C3=A7=C3=A3o</span><span class=3D"aws= pan" style=3D"letter-spacing:3.85pt"> </span><span class=3D"awspan">modific= ada</span><span class=3D"awspan" style=3D"letter-spacing:3.85pt"> </span><s= pan class=3D"awspan">fazendo</span><span class=3D"awspan" style=3D"letter-s= pacing:3.85pt"> </span><span class=3D"awspan">pesquisas</span><span class= =3D"awspan" style=3D"letter-spacing:3.85pt"> </span><span class=3D"awspan">= em</span><span class=3D"awspan" style=3D"letter-spacing:3.85pt"> </span><sp= an class=3D"awspan">ambientes</span><span class=3D"awspan" style=3D"letter-= spacing:3.85pt"> </span><span class=3D"awspan">mais naturais,</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"awsp= an">usando</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </= span><span class=3D"awspan">m=C3=A9todos</span><span class=3D"awspan" style= =3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">mais</span><span = class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"aws= pan">qualitativos,</span><span class=3D"awspan" style=3D"letter-spacing:0.5= 5pt"> </span><span class=3D"awspan">dependendo</span><span class=3D"awspan"= style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">mais</span>= <span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class= =3D"awspan">da</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"= > </span><span class=3D"awspan">teoria</span><span class=3D"awspan" style= =3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">fundamentada</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span clas= s=3D"awspan">e reintroduzindo a descoberta no processo de pesquisa.</span><= /p><p class=3D"awdiv"><a id=3D"_Hlk153449458"></a><span class=3D"awspan">Na= </span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span= class=3D"awspan">perspetiva</span><span class=3D"awspan" style=3D"letter-s= pacing:1.35pt"> </span><span class=3D"awspan">de</span><span class=3D"awspa= n" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">Guba</spa= n><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span clas= s=3D"awspan">(1990),</span><span class=3D"awspan" style=3D"letter-spacing:1= .35pt"> </span><span class=3D"awspan">considerando</span><span class=3D"aws= pan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">todas</= span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span c= lass=3D"awspan">as</span><span class=3D"awspan" style=3D"letter-spacing:1.3= 5pt"> </span><span class=3D"awspan">alternativas</span><span class=3D"awspa= n" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">que</span= ><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span class= =3D"awspan">podem</span><span class=3D"awspan" style=3D"letter-spacing:1.35= pt"> </span><span class=3D"awspan">emergir nesta</span><span class=3D"awspa= n" style=3D"letter-spacing:2.1pt"> </span><span class=3D"awspan">categoria<= /span><span class=3D"awspan" style=3D"letter-spacing:2.1pt"> </span><span c= lass=3D"awspan">(neo-marxismo,</span><span class=3D"awspan" style=3D"letter= -spacing:2.1pt"> </span><span class=3D"awspan">materialismo,</span><span cl= ass=3D"awspan" style=3D"letter-spacing:2.1pt"> </span><span class=3D"awspan= ">feminismo,</span><span class=3D"awspan" style=3D"letter-spacing:2.1pt"> <= /span><span class=3D"awspan">freirismo=E2=80=A6),</span><span class=3D"awsp= an" style=3D"letter-spacing:2.1pt"> </span><span class=3D"awspan">o</span><= span class=3D"awspan" style=3D"letter-spacing:2.1pt"> </span><span class=3D= "awspan">termo</span><span class=3D"awspan" style=3D"letter-spacing:2.1pt">= </span><span class=3D"awspan">mais apropriado</span><span class=3D"awspan"= style=3D"letter-spacing:2.6pt"> </span><span class=3D"awspan">para</span><= span class=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><span class=3D= "awspan">designar</span><span class=3D"awspan" style=3D"letter-spacing:2.6p= t"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"l= etter-spacing:2.6pt"> </span><span class=3D"awspan">paradigma</span><span c= lass=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><span class=3D"awspa= n">da</span><span class=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><= span class=3D"awspan">teoria</span><span class=3D"awspan" style=3D"letter-s= pacing:2.6pt"> </span><span class=3D"awspan">cr=C3=ADtica</span><span class= =3D"awspan" style=3D"letter-spacing:2.6pt"> </span><span class=3D"awspan">s= eria</span><span class=3D"awspan" style=3D"letter-spacing:2.6pt"> </span><s= pan class=3D"awspan">=E2=80=9C</span><span class=3D"awspan" style=3D"font-s= tyle:italic">ideologically</span><span class=3D"awspan" style=3D"font-style= :italic; letter-spacing:2.6pt"> </span><span class=3D"awspan" style=3D"font= -style:italic">oriented inquiry</span><span class=3D"awspan" style=3D"font-= size:10pt">=E2=80=9D.</span><span class=3D"awspan" style=3D"font-size:10pt;= letter-spacing:-0.15pt"> </span><span class=3D"awspan">O</span><span class= =3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan"= >paradigma</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> <= /span><span class=3D"awspan">da</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.15pt"> </span><span class=3D"awspan">teoria</span><span class= =3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan"= >cr=C3=ADtica,</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt= "> </span><span class=3D"awspan">tal</span><span class=3D"awspan" style=3D"= letter-spacing:-0.15pt"> </span><span class=3D"awspan">como</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspa= n">o</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span>= <span class=3D"awspan">p=C3=B3s-positivista,</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">assenta</spa= n><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span cla= ss=3D"awspan">numa</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 15pt"> </span><span class=3D"awspan">=E2=80=9C</span><span class=3D"awspan"= style=3D"font-style:italic">critical realist=E2=80=9D.</span><span class= =3D"awspan" style=3D"font-style:italic; letter-spacing:1.55pt"> </span><spa= n class=3D"awspan">Ao</span><span class=3D"awspan" style=3D"letter-spacing:= 1.55pt"> </span><span class=3D"awspan">contr=C3=A1rio</span><span class=3D"= awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">do</= span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span c= lass=3D"awspan">positivismo</span><span class=3D"awspan" style=3D"letter-sp= acing:1.55pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan"= style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">do</span><s= pan class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D= "awspan">p=C3=B3s-positivismo,</span><span class=3D"awspan" style=3D"letter= -spacing:1.55pt"> </span><span class=3D"awspan">real=C3=A7a</span><span cla= ss=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan= ">uma</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span>= <span class=3D"awspan">epistemologia subjetiva</span><span class=3D"awspan"= style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">no</span><= span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">sentido</span><span class=3D"awspan" style=3D"letter-spacing:-0= .05pt"> </span><span class=3D"awspan">em</span><span class=3D"awspan" style= =3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">que</span><span = class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"aw= span">considera</span><span class=3D"awspan" style=3D"letter-spacing:-0.05p= t"> </span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D= "letter-spacing:-0.05pt"> </span><span class=3D"awspan">a</span><span class= =3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan"= >investiga=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.05pt"> </span><span class=3D"awspan">=C3=A9</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">mediada<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span= class=3D"awspan">pelos</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.05pt"> </span><span class=3D"awspan">valores.</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">Aqui, = considera-se</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> <= /span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"lett= er-spacing:1.3pt"> </span><span class=3D"awspan">metodologia</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan= ">de</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><s= pan class=3D"awspan">tipo</span><span class=3D"awspan" style=3D"letter-spac= ing:1.3pt"> </span><span class=3D"awspan">=E2=80=9C</span><span class=3D"aw= span" style=3D"font-style:italic">dialogic</span><span class=3D"awspan" sty= le=3D"font-style:italic; letter-spacing:1.3pt"> </span><span class=3D"awspa= n" style=3D"font-style:italic">transformative</span><span class=3D"awspan">= =E2=80=9D</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </sp= an><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-s= pacing:1.3pt"> </span><span class=3D"awspan">modo</span><span class=3D"awsp= an" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">a</span><= span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D= "awspan">facilitar</span><span class=3D"awspan" style=3D"letter-spacing:1.3= pt"> </span><span class=3D"awspan">a transforma=C3=A7=C3=A3o a qual requer = uma metodologia intervencionista.</span></p><p class=3D"awdiv" style=3D"pad= ding-bottom:10pt"><span class=3D"awspan">O</span><span class=3D"awspan" sty= le=3D"letter-spacing:2.05pt"> </span><span class=3D"awspan">paradigma</span= ><span class=3D"awspan" style=3D"letter-spacing:2.05pt"> </span><span class= =3D"awspan">construtivista</span><span class=3D"awspan" style=3D"letter-spa= cing:2.05pt"> </span><span class=3D"awspan">encontra</span><span class=3D"a= wspan" style=3D"letter-spacing:2.05pt"> </span><span class=3D"awspan">respa= ldo</span><span class=3D"awspan" style=3D"letter-spacing:2.05pt"> </span><s= pan class=3D"awspan">nos</span><span class=3D"awspan" style=3D"letter-spaci= ng:2.05pt"> </span><span class=3D"awspan">seguintes</span><span class=3D"aw= span" style=3D"letter-spacing:2.05pt"> </span><span class=3D"awspan">argume= ntos:</span><span class=3D"awspan" style=3D"letter-spacing:2.05pt"> </span>= <span class=3D"awspan">a)</span><span class=3D"awspan" style=3D"letter-spac= ing:2.05pt"> </span><span class=3D"awspan">teoria</span><span class=3D"awsp= an" style=3D"letter-spacing:2.05pt"> </span><span class=3D"awspan">da relev= =C3=A2ncia</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </= span><span class=3D"awspan">dos</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.4pt"> </span><span class=3D"awspan">factos:</span><span class= =3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">= considera-se</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> = </span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"let= ter-spacing:-0.4pt"> </span><span class=3D"awspan">os</span><span class=3D"= awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">fact= os</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><sp= an class=3D"awspan">s=C3=B3</span><span class=3D"awspan" style=3D"letter-sp= acing:-0.4pt"> </span><span class=3D"awspan">se</span><span class=3D"awspan= " style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">constituem= </span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span= class=3D"awspan">factos</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.4pt"> </span><span class=3D"awspan">apenas</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">dentro</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span cl= ass=3D"awspan">de alguma</span><span class=3D"awspan" style=3D"letter-spaci= ng:2.35pt"> </span><span class=3D"awspan">estrutura</span><span class=3D"aw= span" style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">te=C3= =B3rica;</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt"> </sp= an><span class=3D"awspan">b)</span><span class=3D"awspan" style=3D"letter-s= pacing:2.35pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan= " style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">indetermin= a=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt"= > </span><span class=3D"awspan">da</span><span class=3D"awspan" style=3D"le= tter-spacing:2.35pt"> </span><span class=3D"awspan">teoria:</span><span cla= ss=3D"awspan" style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan= ">Existem,</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt"> </= span><span class=3D"awspan">geralmente,</span><span class=3D"awspan" style= =3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">v=C3=A1rias teori= as</span><span class=3D"awspan" style=3D"letter-spacing:3.05pt"> </span><sp= an class=3D"awspan">para</span><span class=3D"awspan" style=3D"letter-spaci= ng:3.05pt"> </span><span class=3D"awspan">explicar</span><span class=3D"aws= pan" style=3D"letter-spacing:3.05pt"> </span><span class=3D"awspan">um</spa= n><span class=3D"awspan" style=3D"letter-spacing:3.05pt"> </span><span clas= s=3D"awspan">determinado</span><span class=3D"awspan" style=3D"letter-spaci= ng:3.05pt"> </span><span class=3D"awspan">facto.</span><span class=3D"awspa= n" style=3D"letter-spacing:3.05pt"> </span><span class=3D"awspan">Portanto,= </span><span class=3D"awspan" style=3D"letter-spacing:3.05pt"> </span><span= class=3D"awspan">nem</span><span class=3D"awspan" style=3D"letter-spacing:= 3.05pt"> </span><span class=3D"awspan">sempre</span><span class=3D"awspan" = style=3D"letter-spacing:3.05pt"> </span><span class=3D"awspan">uma</span><s= pan class=3D"awspan" style=3D"letter-spacing:3.05pt"> </span><span class=3D= "awspan">explica=C3=A7=C3=A3o un=C3=ADvoca</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">=C3=A9</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D= "awspan">poss=C3=ADvel.</span><span class=3D"awspan" style=3D"letter-spacin= g:0.95pt"> </span><span class=3D"awspan">A</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">realidade</span= ><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class= =3D"awspan">apenas</span><span class=3D"awspan" style=3D"letter-spacing:0.9= 5pt"> </span><span class=3D"awspan">pode</span><span class=3D"awspan" style= =3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">ser</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awsp= an">vista</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </s= pan><span class=3D"awspan">atrav=C3=A9s</span><span class=3D"awspan" style= =3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">das</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awsp= an">janelas</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> <= /span><span class=3D"awspan">da</span><span class=3D"awspan" style=3D"lette= r-spacing:0.95pt"> </span><span class=3D"awspan">teoria</span><span class= =3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">= que pode</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </spa= n><span class=3D"awspan">ser</span><span class=3D"awspan" style=3D"letter-s= pacing:0.5pt"> </span><span class=3D"awspan">impl=C3=ADcita</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan"= >ou</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><sp= an class=3D"awspan">explicita;</span><span class=3D"awspan" style=3D"letter= -spacing:0.5pt"> </span><span class=3D"awspan">c)</span><span class=3D"awsp= an" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">A</span><= span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D= "awspan">relev=C3=A2ncia</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.5pt"> </span><span class=3D"awspan">do</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">valor</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"a= wspan">nos</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </s= pan><span class=3D"awspan">fatos:</span><span class=3D"awspan" style=3D"let= ter-spacing:0.5pt"> </span><span class=3D"awspan">o</span><span class=3D"aw= span" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">constru= tivismo</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span= ><span class=3D"awspan">vai de</span><span class=3D"awspan" style=3D"letter= -spacing:0.75pt"> </span><span class=3D"awspan">encontro</span><span class= =3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">= com</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><s= pan class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing= :0.75pt"> </span><span class=3D"awspan">argumento</span><span class=3D"awsp= an" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">da</span= ><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class= =3D"awspan">teoria</span><span class=3D"awspan" style=3D"letter-spacing:0.7= 5pt"> </span><span class=3D"awspan">cr=C3=ADtica</span><span class=3D"awspa= n" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">de</span>= <span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class= =3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt= "> </span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"= letter-spacing:0.75pt"> </span><span class=3D"awspan">investiga=C3=A7=C3=A3= o</span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><spa= n class=3D"awspan">n=C3=A3o</span><span class=3D"awspan" style=3D"letter-sp= acing:0.75pt"> </span><span class=3D"awspan">pode</span><span class=3D"awsp= an" style=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">estar li= vre</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><s= pan class=3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.85pt"> </span><span class=3D"awspan">valores,</span><span class=3D"aws= pan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">quer</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span cl= ass=3D"awspan">dizer,</span><span class=3D"awspan" style=3D"letter-spacing:= 0.85pt"> </span><span class=3D"awspan">se</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">a</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspa= n">realidade</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> = </span><span class=3D"awspan">pode,</span><span class=3D"awspan" style=3D"l= etter-spacing:0.85pt"> </span><span class=3D"awspan">apenas,</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspa= n">ser</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span= ><span class=3D"awspan">vista</span><span class=3D"awspan" style=3D"letter-= spacing:0.85pt"> </span><span class=3D"awspan">atrav=C3=A9s</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan= ">da</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><= span class=3D"awspan">janela</span><span class=3D"awspan" style=3D"letter-s= pacing:0.85pt"> </span><span class=3D"awspan">da teoria,</span><span class= =3D"awspan" style=3D"letter-spacing:2.85pt"> </span><span class=3D"awspan">= ela</span><span class=3D"awspan" style=3D"letter-spacing:2.85pt"> </span><s= pan class=3D"awspan">pode</span><span class=3D"awspan" style=3D"letter-spac= ing:2.85pt"> </span><span class=3D"awspan">igualmente</span><span class=3D"= awspan" style=3D"letter-spacing:2.85pt"> </span><span class=3D"awspan">ser<= /span><span class=3D"awspan" style=3D"letter-spacing:2.85pt"> </span><span = class=3D"awspan">vista</span><span class=3D"awspan" style=3D"letter-spacing= :2.85pt"> </span><span class=3D"awspan">apenas</span><span class=3D"awspan"= style=3D"letter-spacing:2.85pt"> </span><span class=3D"awspan">atrav=C3=A9= s</span><span class=3D"awspan" style=3D"letter-spacing:2.85pt"> </span><spa= n class=3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-spacing= :2.85pt"> </span><span class=3D"awspan">valores.</span><span class=3D"awspa= n" style=3D"letter-spacing:2.85pt"> </span><span class=3D"awspan">Sendo</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.85pt"> </span><span cla= ss=3D"awspan">assim,</span><span class=3D"awspan" style=3D"letter-spacing:2= .85pt"> </span><span class=3D"awspan">s=C3=A3o poss=C3=ADveis</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"aws= pan">v=C3=A1rias</span><span class=3D"awspan" style=3D"letter-spacing:-0.25= pt"> </span><span class=3D"awspan">constru=C3=A7=C3=B5es.</span><span class= =3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan"= >Diferente</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> <= /span><span class=3D"awspan">do</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.25pt"> </span><span class=3D"awspan">que</span><span class=3D"= awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">oco= rre</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><= span class=3D"awspan">nos</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.25pt"> </span><span class=3D"awspan">outros</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">paradi= gmas</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span>= <span class=3D"awspan">enumerados </span></p><p class=3D"awdiv"><span style= =3D"height:0pt; display:block; position:absolute; z-index:17"><img src=3D"d= ata:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyEAAARkCAYAAABl3BuiAAAABHNCSV= QICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsvWd35FaaJvjce4FwjCAZ9= MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P/ondr7Nmzumz026mq8t2l0xVyZRKJVfyUkpK= x8xkZpJJ74PhgbsfLi5cAGHIoL+PxGQwAFy8AC6A93ktOfHDf+RQUFBQUGgKOG/OI9UehwMAWes= oYlPe2AiEix9YuzbAwa1xOAhMIr4nABgnQlb3cRPiEZsQApNzGNwEYQxaLAItogOMwpQrEgprq0= CYDchvi2GLsJatHbivKQfEuQhc0b3P5oLUMa2knO5zb8tbr2wNzpWtwkadZ8B0pjIHCLj4qXFeq= s4LFwi3xoPcgICDu2a+dWTWepD7t+aw+M4E5xycc1CfXGt9/hAi5DDlfkKO1/Odfdt773dQAhAC= gDqTr8q97R47/BRWbt+sZ221Md1/ExIsHQcHD7xBaR07BCqO2jQBcBDrNHLOYXIDJjedZb5hwud= 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letter-spacing:0.25pt"> </span><span class=3D"awspan">numa</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan"= >base</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span>= <span class=3D"awspan">ontol=C3=B3gica</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">relativista</span= ><span class=3D"awspan" style=3D"font-size:8pt">2</span><span class=3D"awsp= an" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">no</span= ><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class= =3D"awspan">sentido</span><span class=3D"awspan" style=3D"letter-spacing:0.= 25pt"> </span><span class=3D"awspan">em</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">que</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awsp= an">nele se</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> <= /span><span class=3D"awspan">considera</span><span class=3D"awspan" style= =3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">que</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"awsp= an">a</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span>= <span class=3D"awspan">realidade</span><span class=3D"awspan" style=3D"lett= er-spacing:0.05pt"> </span><span class=3D"awspan">existe</span><span class= =3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">= na</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><sp= an class=3D"awspan">forma</span><span class=3D"awspan" style=3D"letter-spac= ing:0.05pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" = style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">m=C3=BAltipl= as</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><sp= an class=3D"awspan">constru=C3=A7=C3=B5es</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">mentais,</span><= span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class= =3D"awspan">ou</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"= > </span><span class=3D"awspan">seja,</span><span class=3D"awspan" style=3D= "letter-spacing:0.05pt"> </span><span class=3D"awspan">a realidade</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 05pt"> </span><span class=3D"awspan">m=C3=BAltipla</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">em</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span cl= ass=3D"awspan">fun=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.05pt"> </span><span class=3D"awspan">da</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">mult= iplicidade</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> <= /span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.05pt"> </span><span class=3D"awspan">constru=C3=A7=C3=B5es</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span cl= ass=3D"awspan">individuais.</span><span class=3D"awspan" style=3D"letter-sp= acing:-0.05pt"> </span><span class=3D"awspan">Em</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">rela=C3= =A7=C3=A3o =C3=A0</span><span class=3D"awspan" style=3D"letter-spacing:-0.3= 5pt"> </span><span class=3D"awspan">epistemologia,</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">este</= span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><span = class=3D"awspan">paradigma</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.35pt"> </span><span class=3D"awspan">assenta</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">numa= </span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </span><spa= n class=3D"awspan">base</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.35pt"> </span><span class=3D"awspan">subjetivista</span><span class=3D= "awspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">co= nsiderada</span><span class=3D"awspan" style=3D"letter-spacing:-0.35pt"> </= span><span class=3D"awspan">como</span><span class=3D"awspan" style=3D"lett= er-spacing:-0.35pt"> </span><span class=3D"awspan">o</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.35pt"> </span><span class=3D"awspan">meio= para</span><span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </span><= span class=3D"awspan">desbloquear/ter</span><span class=3D"awspan" style=3D= "letter-spacing:1.5pt"> </span><span class=3D"awspan">acesso</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.5pt"> </span><span class=3D"awspan= ">=C3=A0s</span><span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </sp= an><span class=3D"awspan">constru=C3=A7=C3=B5es</span><span class=3D"awspan= " style=3D"letter-spacing:1.5pt"> </span><span class=3D"awspan">feitas</spa= n><span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </span><span class= =3D"awspan">pelos</span><span class=3D"awspan" style=3D"letter-spacing:1.5p= t"> </span><span class=3D"awspan">indiv=C3=ADduos</span><span class=3D"awsp= an" style=3D"letter-spacing:1.5pt"> </span><span class=3D"awspan">e,</span>= <span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </span><span class= =3D"awspan">isto,</span><span class=3D"awspan" style=3D"letter-spacing:1.5p= t"> </span><span class=3D"awspan">tem</span><span class=3D"awspan" style=3D= "letter-spacing:1.5pt"> </span><span class=3D"awspan">rela=C3=A7=C3=A3o dir= eta</span><span class=3D"awspan" style=3D"letter-spacing:3.45pt"> </span><s= pan class=3D"awspan">com</span><span class=3D"awspan" style=3D"letter-spaci= ng:3.45pt"> </span><span class=3D"awspan">as</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.45pt"> </span><span class=3D"awspan">op=C3=A7=C3= =B5es</span><span class=3D"awspan" style=3D"letter-spacing:3.45pt"> </span>= <span class=3D"awspan">metodol=C3=B3gicas. </span><span class=3D"awspan">&#= xa0;</span><span class=3D"awspan">Os</span><span class=3D"awspan" style=3D"= letter-spacing:3.45pt"> </span><span class=3D"awspan">construtivistas</span= ><span class=3D"awspan" style=3D"letter-spacing:3.45pt"> </span><span class= =3D"awspan">tentam</span><span class=3D"awspan" style=3D"letter-spacing:3.4= 5pt"> </span><span class=3D"awspan">levar</span><span class=3D"awspan" styl= e=3D"letter-spacing:3.45pt"> </span><span class=3D"awspan">ao</span><span c= lass=3D"awspan" style=3D"letter-spacing:3.45pt"> </span><span class=3D"awsp= an">m=C3=A1ximo consenso</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.05pt"> </span><span class=3D"awspan">poss=C3=ADvel</span><span class= =3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">= as</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><sp= an class=3D"awspan">variedades</span><span class=3D"awspan" style=3D"letter= -spacing:0.05pt"> </span><span class=3D"awspan">de</span><span class=3D"aws= pan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">constru= =C3=A7=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"= > </span><span class=3D"awspan">individuais</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">com</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"a= wspan">base</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> <= /span><span class=3D"awspan">numa</span><span class=3D"awspan" style=3D"let= ter-spacing:0.05pt"> </span><span class=3D"awspan">metodologia hermen=C3=AA= utica/dial=C3=A9tica</span><span class=3D"awspan" style=3D"letter-spacing:0= .35pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">consiste,</span>= <span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">principalmente,</span><span class=3D"awspan" style=3D"letter-sp= acing:0.35pt"> </span><span class=3D"awspan">em</span><span class=3D"awspan= " style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">descrever,= </span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span= class=3D"awspan">comparar,</span><span class=3D"awspan" style=3D"letter-sp= acing:0.35pt"> </span><span class=3D"awspan">contrastar e interpretar as co= nstru=C3=A7=C3=B5es individuais (incluindo as do investigador).</span></p><= p class=3D"awdiv"><a id=3D"_Hlk153449610"></a><span class=3D"awspan">Com</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span cla= ss=3D"awspan">base</span><span class=3D"awspan" style=3D"letter-spacing:0.7= pt"> </span><span class=3D"awspan">nas</span><span class=3D"awspan" style= =3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">caracter=C3=ADstic= as</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><spa= n class=3D"awspan">ontol=C3=B3gicas,</span><span class=3D"awspan" style=3D"= letter-spacing:0.7pt"> </span><span class=3D"awspan">epistemol=C3=B3gicas</= span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span cl= ass=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt= "> </span><span class=3D"awspan">metodol=C3=B3gicas</span><span class=3D"aw= span" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">de</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span class= =3D"awspan">cada</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt= "> </span><span class=3D"awspan">um dos</span><span class=3D"awspan" style= =3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">paradigmas</span>= <span class=3D"awspan" style=3D"letter-spacing:2.25pt"> </span><span class= =3D"awspan">abordados</span><span class=3D"awspan" style=3D"letter-spacing:= 2.25pt"> </span><span class=3D"awspan">atr=C3=A1s,</span><span class=3D"aws= pan" style=3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">pode-se= </span><span class=3D"awspan" style=3D"letter-spacing:2.25pt"> </span><span= class=3D"awspan">tra=C3=A7ar</span><span class=3D"awspan" style=3D"letter-= spacing:2.25pt"> </span><span class=3D"awspan">um</span><span class=3D"awsp= an" style=3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">cont=C3= =ADnuo</span><span class=3D"awspan" style=3D"letter-spacing:2.25pt"> </span= ><span class=3D"awspan">onde,</span><span class=3D"awspan" style=3D"letter-= spacing:2.25pt"> </span><span class=3D"awspan">nos</span><span class=3D"aws= pan" style=3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">estremo= s,</span><span class=3D"awspan" style=3D"letter-spacing:2.25pt"> </span><sp= an class=3D"awspan">se encontram</span><span class=3D"awspan" style=3D"lett= er-spacing:1.15pt"> </span><span class=3D"awspan">os</span><span class=3D"a= wspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">parad= igmas</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span>= <span class=3D"awspan">positivista</span><span class=3D"awspan" style=3D"le= tter-spacing:1.15pt"> </span><span class=3D"awspan">e</span><span class=3D"= awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">o</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span cl= ass=3D"awspan">construtivista;</span><span class=3D"awspan" style=3D"letter= -spacing:1.15pt"> </span><span class=3D"awspan">ao</span><span class=3D"aws= pan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">longo</= span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span c= lass=3D"awspan">(dentro)</span><span class=3D"awspan" style=3D"letter-spaci= ng:1.15pt"> </span><span class=3D"awspan">do</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">cont=C3=ADnuo= , podemos</span><span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </s= pan><span class=3D"awspan">encontrar</span><span class=3D"awspan" style=3D"= letter-spacing:3.25pt"> </span><span class=3D"awspan">=E2=80=93</span><span= class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span class=3D"aw= span">partilhando</span><span class=3D"awspan" style=3D"letter-spacing:3.25= pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"= letter-spacing:3.25pt"> </span><span class=3D"awspan">mesma</span><span cla= ss=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span class=3D"awspan= ">base</span><span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span= ><span class=3D"awspan">epistemol=C3=B3gica,</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.25pt"> </span><span class=3D"awspan">o</span><span= class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span class=3D"aw= span">paradigma</span><span class=3D"awspan" style=3D"letter-spacing:3.25pt= "> </span><span class=3D"awspan">p=C3=B3s-positivista</span><span class=3D"= awspan" style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">mais<= /span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span c= lass=3D"awspan">encostado</span><span class=3D"awspan" style=3D"letter-spac= ing:0.8pt"> </span><span class=3D"awspan">ao</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">extremo</span>= <span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class= =3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt">= </span><span class=3D"awspan">paradigma</span><span class=3D"awspan" style= =3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">positivista.</span= ><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class= =3D"awspan">O</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> = </span><span class=3D"awspan">paradigma</span><span class=3D"awspan" style= =3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">da</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan"= >teoria cr=C3=ADtica</span><span class=3D"awspan" style=3D"letter-spacing:0= .65pt"> </span><span class=3D"awspan">(ideol=C3=B3gico),</span><span class= =3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">= embora</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span= ><span class=3D"awspan">partilhe</span><span class=3D"awspan" style=3D"lett= er-spacing:0.65pt"> </span><span class=3D"awspan">a</span><span class=3D"aw= span" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">mesma<= /span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span = class=3D"awspan">base</span><span class=3D"awspan" style=3D"letter-spacing:= 0.65pt"> </span><span class=3D"awspan">ontol=C3=B3gica</span><span class=3D= "awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">com= </span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span= class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:0.= 65pt"> </span><span class=3D"awspan">p=C3=B3s-positivista,</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan"= >se encontra</span><span class=3D"awspan" style=3D"letter-spacing:1.95pt"> = </span><span class=3D"awspan">mais</span><span class=3D"awspan" style=3D"le= tter-spacing:1.95pt"> </span><span class=3D"awspan">encostado</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.95pt"> </span><span class=3D"awsp= an">ao</span><span class=3D"awspan" style=3D"letter-spacing:1.95pt"> </span= ><span class=3D"awspan">extremo</span><span class=3D"awspan" style=3D"lette= r-spacing:1.95pt"> </span><span class=3D"awspan">do</span><span class=3D"aw= span" style=3D"letter-spacing:1.95pt"> </span><span class=3D"awspan">paradi= gma</span><span class=3D"awspan" style=3D"letter-spacing:1.95pt"> </span><s= pan class=3D"awspan">construtivista</span><span class=3D"awspan" style=3D"l= etter-spacing:1.95pt"> </span><span class=3D"awspan">com</span><span class= =3D"awspan" style=3D"letter-spacing:1.95pt"> </span><span class=3D"awspan">= quem</span><span class=3D"awspan" style=3D"letter-spacing:1.95pt"> </span><= span class=3D"awspan">tamb=C3=A9m partilha</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">a</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awsp= an">base</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </sp= an><span class=3D"awspan">epistemol=C3=B3gica.</span><span class=3D"awspan"= style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">Resumindo,<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span = class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 2pt"> </span><span class=3D"awspan">paradigma</span><span class=3D"awspan" = style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">positivista<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span = class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 2pt"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D= "letter-spacing:-0.2pt"> </span><span class=3D"awspan">construtivista</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class= =3D"awspan">s=C3=A3o os</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.05pt"> </span><span class=3D"awspan">mais</span><span class=3D"awspan"= style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">antag=C3= =B3nicos</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </s= pan><span class=3D"awspan">n=C3=A3o</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.05pt"> </span><span class=3D"awspan">partilhando</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D= "awspan">nenhuma</span><span class=3D"awspan" style=3D"letter-spacing:-0.05= pt"> </span><span class=3D"awspan">das</span><span class=3D"awspan" style= =3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">bases</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"= awspan">entre</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"= > </span><span class=3D"awspan">si</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.05pt"> </span><span class=3D"awspan">=E2=80=93</span><span = class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"aw= span">conforme</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt= "> </span><span class=3D"awspan">apresentado no esquema a seguir:</span></p= ><p class=3D"awdiv"><span class=3D"awspan" style=3D"font-weight:bold">Esque= ma 1</span></p><p class=3D"awdiv"><span class=3D"awspan" style=3D"font-styl= e:italic">O cont=C3=ADnuo dos paradigmas de investiga=C3=A7=C3=A3o</span></= p><p class=3D"awdiv"><span class=3D"awspan">     &= #xa0;            = 0;            &= #xa0;        </span></p><p class=3D"awdi= v" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-family:'Ca= mbria Math'; font-size:10pt">=F0=9D=91=83=C3=B3=F0=9D=91=A0</span></p><p cl= ass=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font= -family:'Cambria Math'; font-size:10pt">=E2=80=95</span></p><p class=3D"awd= iv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-family:'C= ambria Math'; font-size:10pt">=F0=9D=91=9D=F0=9D=91=9C=F0=9D=91=A0=F0=9D=91= =96=F0=9D=91=A1=F0=9D=91=96=F0=9D=91=A3=F0=9D=91=96=F0=9D=91=A0=F0=9D=91=9A= =F0=9D=91=9C</span></p><p class=3D"awdiv"><span><svg font-family=3D"Times N= ew Roman" font-size=3D"16" height=3D"16" version=3D"1.1" width=3D"107.99" x= mlns=3D"http://www.w3.org/2000/svg" style=3D"width:107.99px; height:16px; f= ont-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.= org/1999/xlink"><defs /><g transform=3D"translate(0.15,0)"><g transform=3D"= translate(0,-13.33333)"><path d=3D"M54.10649,2.949219 L54.10649,2.949219 C5= 4.84495,2.736545 55.66861,2.560764 56.5775,2.421875 L56.5775,2.421875 C57.4= 8637,2.278646 58.45205,2.163628 59.47453,2.076823 L59.47453,2.076823 C60.49= 702,1.994357 61.57631,1.935764 62.7124,1.901042 L62.7124,1.901042 C63.7917,= 1.86632 64.92779,1.848958 66.12069,1.848958 L66.12069,1.848958 C67.31358,1.= 848958 68.56329,1.861979 69.8698,1.888021 L69.8698,1.888021 C71.1763,1.9184= 03 72.56802,1.950955 74.04494,1.985677 L74.04494,1.985677 C75.46507,2.01605= 9 76.97038,2.044271 78.56092,2.070312 L78.56092,2.070312 C80.09464,2.096354= 81.77039,2.109375 83.58813,2.109375 L83.58813,2.109375 C86.48518,2.109375 = 88.95618,2.061632 91.00115,1.966146 L91.00115,1.966146 C92.98932,1.875 94.6= 3665,1.742622 95.94315,1.56901 L95.94315,1.56901 C97.24967,1.395399 98.1869= 5,1.182726 98.755,0.9309896 L98.755,0.9309896 C99.37985,0.6835938 99.69227,= 0.4058161 99.69227,0.09765625 L99.69227,0 L107.7017,0 L107.7017,0.1692708 L= 107.7017,0.1692708 C107.5881,1.189236 105.6,1.950955 101.7372,2.454427 L101= .7372,2.454427 C97.87451,2.96224 92.36446,3.216146 85.20707,3.216146 L85.20= 707,3.216146 C82.93488,3.216146 80.88991,3.198785 79.07216,3.164062 L79.072= 16,3.164062 C77.25441,3.13368 75.60707,3.101128 74.13015,3.066406 L74.13015= ,3.066406 C72.65323,3.027344 71.28992,2.990451 70.04021,2.955729 L70.04021,= 2.955729 C68.84731,2.925347 67.68281,2.910156 66.54672,2.910156 L66.54672,2= .910156 C65.41063,2.910156 64.33134,2.929688 63.30885,2.96875 L63.30885,2.9= 6875 C62.28637,3.007812 61.37749,3.075087 60.58223,3.170573 L60.58223,3.170= 573 C59.73015,3.261719 59.0201,3.387587 58.45205,3.548177 L58.45205,3.54817= 7 C57.94081,3.708768 57.62838,3.91059 57.51477,4.153646 L50.18697,4.153646 = 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a0;            =   </span><span class=3D"awspan" style=3D"font-size:10pt">  </span= ></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" sty= le=3D"font-family:'Cambria Math'; font-size:10pt">=F0=9D=91=87=F0=9D=91=92= =F0=9D=91=9C=F0=9D=91=9F=F0=9D=91=96=F0=9D=91=8E</span></p><p class=3D"awdi= v" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-family:'Ca= mbria Math'; font-size:10pt"> </span></p><p class=3D"awdiv" style=3D"f= ont-size:10pt"><span class=3D"awspan" style=3D"font-family:'Cambria Math'; = font-size:10pt">=F0=9D=91=90=F0=9D=91=9F=C3=AD=F0=9D=91=A1=F0=9D=91=96=F0= =9D=91=90=F0=9D=91=8E</span></p><p class=3D"awdiv"><span><svg font-family= =3D"Times New Roman" font-size=3D"16" height=3D"16" version=3D"1.1" width= =3D"82.66" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:82.66px; hei= ght:16px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"htt= p://www.w3.org/1999/xlink"><defs /><g transform=3D"translate(0.1,0)"><g tra= nsform=3D"translate(0,-13.33333)"><path d=3D"M41.09884,2.949219 L41.09884,2= .949219 C41.65977,2.736545 42.28542,2.560764 42.9758,2.421875 L42.9758,2.42= 1875 C43.66617,2.278646 44.39969,2.163628 45.17636,2.076823 L45.17636,2.076= 823 C45.95303,1.994357 46.77285,1.935764 47.63582,1.901042 L47.63582,1.9010= 42 C48.45564,1.86632 49.3186,1.848958 50.22472,1.848958 L50.22472,1.848958 = C51.13084,1.848958 52.0801,1.861979 53.07251,1.888021 L53.07251,1.888021 C5= 4.06493,1.918403 55.12207,1.950955 56.24392,1.985677 L56.24392,1.985677 C57= .32263,2.016059 58.46606,2.044271 59.67422,2.070312 L59.67422,2.070312 C60.= 83922,2.096354 62.1121,2.109375 63.49285,2.109375 L63.49285,2.109375 C65.69= 341,2.109375 67.57037,2.061632 69.12371,1.966146 L69.12371,1.966146 C70.633= 91,1.875 71.88521,1.742622 72.87762,1.56901 L72.87762,1.56901 C73.87004,1.3= 95399 74.58199,1.182726 75.01347,0.9309896 L75.01347,0.9309896 C75.48811,0.= 6835938 75.72542,0.4058161 75.72542,0.09765625 L75.72542,0 L81.80934,0 L81.= 80934,0.1692708 L81.80934,0.1692708 C81.72304,1.189236 80.21285,1.950955 77= .27876,2.454427 L77.27876,2.454427 C74.34467,2.96224 70.15928,3.216146 64.7= 2258,3.216146 L64.72258,3.216146 C62.99664,3.216146 61.4433,3.198785 60.062= 55,3.164062 L60.06255,3.164062 C58.68181,3.13368 57.4305,3.101128 56.30864,= 3.066406 L56.30864,3.066406 C55.18679,3.027344 54.15123,2.990451 53.20196,2= .955729 L53.20196,2.955729 C52.29584,2.925347 51.4113,2.910156 50.54834,2.9= 10156 L50.54834,2.910156 C49.68537,2.910156 48.86554,2.929688 48.08888,2.96= 875 L48.08888,2.96875 C47.31221,3.007812 46.62183,3.075087 46.01776,3.17057= 3 L46.01776,3.170573 C45.37053,3.261719 44.83118,3.387587 44.39969,3.548177= L44.39969,3.548177 C44.01135,3.708768 43.77404,3.91059 43.68774,4.153646 L= 38.1216,4.153646 L38.1216,4.153646 C38.03531,3.91059 37.79799,3.708768 37.4= 0965,3.548177 L37.40965,3.548177 C37.02131,3.387587 36.5251,3.259549 35.921= 03,3.164062 L35.92103,3.164062 C35.31696,3.072917 34.62658,3.007812 33.8499= 1,2.96875 L33.84991,2.96875 C33.11639,2.929688 32.36129,2.910156 31.58462,2= .910156 L31.58462,2.910156 C30.80795,2.910156 29.98813,2.927518 29.12516,2.= 96224 L29.12516,2.96224 C28.21905,2.992622 27.24821,3.025174 26.21264,3.059= 896 L26.21264,3.059896 C25.13394,3.098958 23.94736,3.135851 22.6529,3.17057= 3 L22.6529,3.170573 C21.35845,3.200955 19.91298,3.216146 18.31649,3.216146 = L18.31649,3.216146 C15.77074,3.216146 13.41915,3.153212 11.26173,3.027344 L= 11.26173,3.027344 C9.061161,2.901476 7.141058,2.712674 5.501419,2.460938 L5= .501419,2.460938 C3.861781,2.204861 2.567329,1.885851 1.618064,1.503906 L1.= 618064,1.503906 C0.6256517,1.121962 0.08629677,0.6770833 0,0.1692708 L0,0 L= 5.889755,0 L5.889755,0.09765625 L5.889755,0.09765625 C5.889755,0.4058161 6.= 148645,0.685764 6.666426,0.9375 L6.666426,0.9375 C7.141058,1.184896 7.89615= 4,1.395399 8.931716,1.56901 L8.931716,1.56901 C9.967277,1.742622 11.2833,1.= 87717 12.87979,1.972656 L12.87979,1.972656 C14.47628,2.063802 16.37481,2.10= 9375 18.57538,2.109375 L18.57538,2.109375 C19.91298,2.109375 21.14271,2.096= 354 22.26457,2.070312 L22.26457,2.070312 C23.42957,2.044271 24.52986,2.0138= 89 25.56542,1.979167 L25.56542,1.979167 C26.55783,1.948784 27.52867,1.92057= 3 28.47794,1.894531 L28.47794,1.894531 C29.38405,1.864149 30.29017,1.848958= 31.19628,1.848958 L31.19628,1.848958 C32.1024,1.848958 32.98694,1.86632 33= .84991,1.901042 L33.84991,1.901042 C34.66973,1.935764 35.46798,1.996528 36.= 24464,2.083333 L36.24464,2.083333 C37.02131,2.165799 37.75483,2.276476 38.4= 4521,2.415365 L38.44521,2.415365 C39.09244,2.558594 39.71809,2.736545 40.32= 217,2.949219 L41.09884,2.949219 Z" fill=3D"#000000" fill-rule=3D"evenodd" t= ransform=3D"translate(0,13.33333)" /></g></g></svg></span></p><p class=3D"a= wdiv"><a id=3D"_Hlk153449702"></a><span class=3D"awspan">A</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">= d=C3=A9bil</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </s= pan><span class=3D"awspan">partilha</span><span class=3D"awspan" style=3D"l= etter-spacing:0.6pt"> </span><span class=3D"awspan">das</span><span class= =3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">b= ases</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><s= pan class=3D"awspan">(ontol=C3=B3gicas,</span><span class=3D"awspan" style= =3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">epistemol=C3=B3gic= as</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><spa= n class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0= .6pt"> </span><span class=3D"awspan">metodol=C3=B3gicas),</span><span class= =3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">f= az</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><spa= n class=3D"awspan">com</span><span class=3D"awspan" style=3D"letter-spacing= :0.6pt"> </span><span class=3D"awspan">que cada</span><span class=3D"awspan= " style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">paradigma<= /span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span = class=3D"awspan">seja</span><span class=3D"awspan" style=3D"letter-spacing:= 0.45pt"> </span><span class=3D"awspan">apresentado</span><span class=3D"aws= pan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">como</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span cl= ass=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing:0.45= pt"> </span><span class=3D"awspan">quite</span><span class=3D"awspan" style= =3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">completo</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D= "awspan">(pronto</span><span class=3D"awspan" style=3D"letter-spacing:0.45p= t"> </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"l= etter-spacing:0.45pt"> </span><span class=3D"awspan">usar),</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan= ">um</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><= span class=3D"awspan">aparelho com</span><span class=3D"awspan" style=3D"le= tter-spacing:1.2pt"> </span><span class=3D"awspan">tudo</span><span class= =3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">i= nclu=C3=ADdo</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> <= /span><span class=3D"awspan">sem</span><span class=3D"awspan" style=3D"lett= er-spacing:1.2pt"> </span><span class=3D"awspan">a</span><span class=3D"aws= pan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">necessid= ade</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><sp= an class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing= :1.2pt"> </span><span class=3D"awspan">uso</span><span class=3D"awspan" sty= le=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">de</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspa= n">acess=C3=B3rios</span><span class=3D"awspan" style=3D"letter-spacing:1.2= pt"> </span><span class=3D"awspan">extras</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">ou</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan= ">pe=C3=A7as</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> <= /span><span class=3D"awspan">adicionais. Assim</span><span class=3D"awspan"= style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">a</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"aw= span">polariza=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-sp= acing:0.6pt"> </span><span class=3D"awspan">das</span><span class=3D"awspan= " style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">carater=C3= =ADsticas</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </sp= an><span class=3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-= spacing:0.6pt"> </span><span class=3D"awspan">paradigmas,</span><span class= =3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">s= e</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span= class=3D"awspan">constituiu</span><span class=3D"awspan" style=3D"letter-s= pacing:0.6pt"> </span><span class=3D"awspan">como</span><span class=3D"awsp= an" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">um</span>= <span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class= =3D"awspan">primeiro momento do debate sobre os paradigmas desde os anos 50= do s=C3=A9culo XX.</span></p><p class=3D"awdiv"><span class=3D"awspan" sty= le=3D"font-style:italic">1.2.</span><span class=3D"awspan" style=3D"font-st= yle:italic; letter-spacing:1.45pt"> </span><span class=3D"awspan" style=3D"= font-style:italic">Paradigmas</span><span class=3D"awspan" style=3D"font-st= yle:italic; letter-spacing:1.45pt"> </span><span class=3D"awspan" style=3D"= font-style:italic">e</span><span class=3D"awspan" style=3D"font-style:itali= c; letter-spacing:1.45pt"> </span><span class=3D"awspan" style=3D"font-styl= e:italic">m=C3=A9todos</span><span class=3D"awspan" style=3D"font-style:ita= lic; letter-spacing:1.45pt"> </span><span class=3D"awspan" style=3D"font-st= yle:italic">de</span><span class=3D"awspan" style=3D"font-style:italic; let= ter-spacing:1.45pt"> </span><span class=3D"awspan" style=3D"font-style:ital= ic">investiga=C3=A7=C3=A3o:</span><span class=3D"awspan" style=3D"font-styl= e:italic; letter-spacing:1.45pt"> </span><span class=3D"awspan" style=3D"fo= nt-style:italic">Incompatibilidade,</span><span class=3D"awspan" style=3D"f= ont-style:italic; letter-spacing:1.45pt"> </span><span class=3D"awspan" sty= le=3D"font-style:italic">complementaridade</span><span class=3D"awspan" sty= le=3D"font-style:italic; letter-spacing:1.45pt"> </span><span class=3D"awsp= an" style=3D"font-style:italic">e integra=C3=A7=C3=A3o</span><span class=3D= "awspan">. </span></p><p class=3D"awdiv"><span class=3D"awspan">As</span><s= pan class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"= awspan">bases</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> = </span><span class=3D"awspan">paradigm=C3=A1ticas</span><span class=3D"awsp= an" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">(ontol=C3= =B3gicas,</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </sp= an><span class=3D"awspan">epistemol=C3=B3gicas</span><span class=3D"awspan"= style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">e</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"aw= span">metodol=C3=B3gicas)</span><span class=3D"awspan" style=3D"letter-spac= ing:1.3pt"> </span><span class=3D"awspan">podem</span><span class=3D"awspan= " style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">servir como= </span><span class=3D"awspan" style=3D"letter-spacing:2.55pt"> </span><span= class=3D"awspan">refer=C3=AAncias</span><span class=3D"awspan" style=3D"le= tter-spacing:2.55pt"> </span><span class=3D"awspan">na</span><span class=3D= "awspan" style=3D"letter-spacing:2.55pt"> </span><span class=3D"awspan">dis= tin=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:2.55p= t"> </span><span class=3D"awspan">entre</span><span class=3D"awspan" style= =3D"letter-spacing:2.55pt"> </span><span class=3D"awspan">os</span><span cl= ass=3D"awspan" style=3D"letter-spacing:2.55pt"> </span><span class=3D"awspa= n">paradigmas.</span><span class=3D"awspan" style=3D"letter-spacing:2.55pt"= > </span><a id=3D"_Hlk153450254"></a><span class=3D"awspan">O</span><span c= lass=3D"awspan" style=3D"letter-spacing:2.55pt"> </span><span class=3D"awsp= an">segundo</span><span class=3D"awspan" style=3D"letter-spacing:2.55pt"> <= /span><span class=3D"awspan">momento</span><span class=3D"awspan" style=3D"= letter-spacing:2.55pt"> </span><span class=3D"awspan">do</span><span class= =3D"awspan" style=3D"letter-spacing:2.55pt"> </span><span class=3D"awspan">= debate iniciado</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt= "> </span><span class=3D"awspan">nos</span><span class=3D"awspan" style=3D"= letter-spacing:0.95pt"> </span><span class=3D"awspan">anos</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan"= >50</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><s= pan class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spacin= g:0.95pt"> </span><span class=3D"awspan">s=C3=A9culo</span><span class=3D"a= wspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">XX</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span cl= ass=3D"awspan">sobre</span><span class=3D"awspan" style=3D"letter-spacing:0= .95pt"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style= =3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">assunto,</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D= "awspan">versa</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"= > </span><span class=3D"awspan">sobre</span><span class=3D"awspan" style=3D= "letter-spacing:0.95pt"> </span><span class=3D"awspan">a</span><span class= =3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">= rela=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.95= pt"> </span><span class=3D"awspan">paradigma</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">-</span></p><= p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"= font-family:Arial; font-size:6.5pt">2</span><span class=3D"awspan" style=3D= "font-family:Arial; font-size:10pt; letter-spacing:0.8pt"> </span><span cla= ss=3D"awspan" style=3D"font-size:10pt; font-style:italic">Relativism</span>= <span class=3D"awspan" style=3D"font-size:10pt; font-style:italic; letter-s= pacing:0.8pt"> </span><span class=3D"awspan" style=3D"font-size:10pt; font-= style:italic">is</span><span class=3D"awspan" style=3D"font-size:10pt; font= -style:italic; letter-spacing:0.8pt"> </span><span class=3D"awspan" style= =3D"font-size:10pt; font-style:italic">the</span><span class=3D"awspan" sty= le=3D"font-size:10pt; font-style:italic; letter-spacing:0.8pt"> </span><spa= n class=3D"awspan" style=3D"font-size:10pt; font-style:italic">key</span><s= pan class=3D"awspan" style=3D"font-size:10pt; font-style:italic; letter-spa= cing:0.8pt"> </span><span class=3D"awspan" style=3D"font-size:10pt; font-st= yle:italic">to</span><span class=3D"awspan" style=3D"font-size:10pt; font-s= tyle:italic; letter-spacing:0.8pt"> </span><span class=3D"awspan" style=3D"= font-size:10pt; font-style:italic">openness</span><span class=3D"awspan" st= yle=3D"font-size:10pt; font-style:italic; letter-spacing:0.8pt"> </span><sp= an class=3D"awspan" style=3D"font-size:10pt; font-style:italic">and</span><= span class=3D"awspan" style=3D"font-size:10pt; font-style:italic; letter-sp= acing:0.8pt"> </span><span class=3D"awspan" style=3D"font-size:10pt; font-s= tyle:italic">the</span><span class=3D"awspan" style=3D"font-size:10pt; font= -style:italic; letter-spacing:0.8pt"> </span><span class=3D"awspan" style= =3D"font-size:10pt; font-style:italic">continuing</span><span class=3D"awsp= an" style=3D"font-size:10pt; font-style:italic; letter-spacing:0.8pt"> </sp= an><span class=3D"awspan" style=3D"font-size:10pt; font-style:italic">searc= h</span><span class=3D"awspan" style=3D"font-size:10pt; font-style:italic; = letter-spacing:0.8pt"> </span><span class=3D"awspan" style=3D"font-size:10p= t; font-style:italic">for</span><span class=3D"awspan" style=3D"font-size:1= 0pt; font-style:italic; letter-spacing:0.8pt"> </span><span class=3D"awspan= " style=3D"font-size:10pt; font-style:italic">ever</span><span class=3D"aws= pan" style=3D"font-size:10pt; font-style:italic; letter-spacing:0.8pt"> </s= pan><span class=3D"awspan" style=3D"font-size:10pt; font-style:italic">more= </span><span class=3D"awspan" style=3D"font-size:10pt; font-style:italic; l= etter-spacing:0.8pt"> </span><span class=3D"awspan" style=3D"font-size:10pt= ; font-style:italic">informed</span><span class=3D"awspan" style=3D"font-si= ze:10pt; font-style:italic; letter-spacing:0.8pt"> </span><span class=3D"aw= span" style=3D"font-size:10pt; font-style:italic">and</span><span class=3D"= awspan" style=3D"font-size:10pt; font-style:italic; letter-spacing:0.8pt"> = </span><span class=3D"awspan" style=3D"font-size:10pt; font-style:italic">s= ophisticated constructions (cf. Guba, 1990, p. 26).</span></p><p class=3D"a= wdiv"><span><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D= "34.66" version=3D"1.1" width=3D"87.99" xmlns=3D"http://www.w3.org/2000/svg= " style=3D"width:87.99px; height:34.66px; font-family:'Times New Roman'; fo= nt-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g tr= ansform=3D"translate(0.6666667,0.6666667)"><path d=3D"M0,5.388977 C0,3.9602= 79 0.5681531,2.588636 1.578395,1.578395 L1.578395,1.578395 C2.588636,0.5681= 531 3.960279,0 5.388977,0 L5.388977,0 L80.54436,0 L80.54436,0 C81.97305,0 8= 3.3447,0.5681531 84.35494,1.578395 L84.35494,1.578395 C85.36518,2.588636 85= .93334,3.960279 85.93334,5.388977 L85.93334,5.388977 L85.93334,26.94436 L85= .93334,26.94436 C85.93334,28.37305 85.36518,29.7447 84.35494,30.75494 L84.3= 5494,30.75494 C83.3447,31.76518 81.97305,32.33333 80.54436,32.33333 L80.544= 36,32.33333 L5.388977,32.33333 L5.388977,32.33333 C3.960279,32.33333 2.5886= 36,31.76518 1.578395,30.75494 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style=3D"font-family:Calibri; font-size:10pt">Positivismo</s= pan></p><p class=3D"awdiv"><span><svg font-family=3D"Times New Roman" font-= size=3D"16" height=3D"34.66" version=3D"1.1" width=3D"114.65" xmlns=3D"http= ://www.w3.org/2000/svg" style=3D"width:114.65px; height:34.66px; font-famil= y:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/= xlink"><defs /><g><g transform=3D"translate(0.6666667,0.6666667)"><path d= =3D"M0,5.388977 C0,3.960279 0.5681531,2.588636 1.578395,1.578395 L1.578395,= 1.578395 C2.588636,0.5681531 3.960279,0 5.388977,0 L5.388977,0 L107.3552,0 = L107.3552,0 C108.7839,0 110.1555,0.5681531 111.1657,1.578395 L111.1657,1.57= 8395 C112.176,2.588636 112.7441,3.960279 112.7441,5.388977 L112.7441,5.3889= 77 L112.7441,26.94436 L112.7441,26.94436 C112.7441,28.37305 112.176,29.7447= 111.1657,30.75494 L111.1657,30.75494 C110.1555,31.76518 108.7839,32.33333 = 107.3552,32.33333 L107.3552,32.33333 L5.388977,32.33333 L5.388977,32.33333 = 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+6vqIoFBcXk5+fz8qVK9m3bx/Jyck0NTVRVFRESUnJDUEL0vc3AC04A9zOXnb9fSdHPv+SMWPHM= mLkCGJiYggzGdECAXp6nDRfvMSpU6c4V1t30yvRL5qm0d3dTWtr6+UHPdTW1nLp0iXq6+tDdNGN= xOfz0dnZycaNG1m7di0Oh4ODBw+ybNky/H4/TU1NvPvuuzf0RVVVli1bxq5duwgEAowaNYq+vj5= qa2tJTU0lMzOTL7/88sawSImorq6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f28OGCwWi4WFCxei0+= k4d+4cJ06cwOv1snjxYkpKSr7XVkJCAikpKdTW1pKbm0tjYyPt7e0UFBQghODw4cM0Nzff1E5WV= hbTp0/n4sWLNDcHC2BlZSU5OTl4vV6qqqquq1dWVsa8efMQDQ0N8v777/+XNz1YBhOK/67+/0b3= 6rX/FXvXmzN47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAAASUVORK5CYII=3D" width= =3D"77" height=3D"28" alt=3D"" style=3D"margin-left:443.3pt; position:absol= ute" /></span><span class=3D"awspan">m=C3=A9todo.</span><span class=3D"awsp= an" style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">Este</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.35pt"> </span><span cla= ss=3D"awspan">debate,</span><span class=3D"awspan" style=3D"letter-spacing:= 2.35pt"> </span><span class=3D"awspan">gira</span><span class=3D"awspan" st= yle=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">em</span><span= class=3D"awspan" style=3D"letter-spacing:2.35pt"> </span><span class=3D"aw= span">torno</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt"> <= /span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"lette= r-spacing:2.35pt"> </span><span class=3D"awspan">duas</span><span class=3D"= awspan" style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">pers= petivas</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt"> </spa= n><span class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-sp= acing:2.35pt"> </span><span class=3D"awspan">confronto:</span><span class= =3D"awspan" style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">= o</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt"> </span><spa= n class=3D"awspan">paradigma convencional</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">=E2=80=9C(</span= ><span class=3D"awspan" style=3D"font-style:italic">aka,</span><span class= =3D"awspan" style=3D"font-style:italic; letter-spacing:0.45pt"> </span><spa= n class=3D"awspan" style=3D"font-style:italic">with</span><span class=3D"aw= span" style=3D"font-style:italic; letter-spacing:0.45pt"> </span><span clas= s=3D"awspan" style=3D"font-style:italic">varying</span><span class=3D"awspa= n" style=3D"font-style:italic; letter-spacing:0.45pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">shades</span><span class=3D"awspan"= style=3D"font-style:italic; letter-spacing:0.45pt"> </span><span class=3D"= awspan" style=3D"font-style:italic">of</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:0.45pt"> </span><span class=3D"awspan= " style=3D"font-style:italic">meaning,</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:0.45pt"> </span><span class=3D"awspan= " style=3D"font-style:italic">the</span><span class=3D"awspan" style=3D"fon= t-style:italic; letter-spacing:0.45pt"> </span><span class=3D"awspan" style= =3D"font-style:italic">scientific,</span><span class=3D"awspan" style=3D"fo= nt-style:italic; letter-spacing:0.45pt"> </span><span class=3D"awspan" styl= e=3D"font-style:italic">positivist,</span><span class=3D"awspan" style=3D"f= ont-style:italic; letter-spacing:0.45pt"> </span><span class=3D"awspan" sty= le=3D"font-style:italic">objective, experimental,</span><span class=3D"awsp= an" style=3D"font-style:italic; letter-spacing:2.9pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">and/or</span><span class=3D"awspan"= style=3D"font-style:italic; letter-spacing:2.9pt"> </span><span class=3D"a= wspan" style=3D"font-style:italic">quantitative</span><span class=3D"awspan= " style=3D"font-style:italic; letter-spacing:2.9pt"> </span><span class=3D"= awspan" style=3D"font-style:italic">paradigm</span><span class=3D"awspan">)= </span><span class=3D"awspan" style=3D"letter-spacing:2.9pt"> </span><span = class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:2.9= pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan" style=3D= "letter-spacing:2.9pt"> </span><span class=3D"awspan">paradigmas</span><spa= n class=3D"awspan" style=3D"letter-spacing:2.9pt"> </span><span class=3D"aw= span">alternativos</span><span class=3D"awspan" style=3D"letter-spacing:2.9= pt"> </span><span class=3D"awspan">(</span><span class=3D"awspan" style=3D"= font-style:italic">aka,</span><span class=3D"awspan" style=3D"font-style:it= alic; letter-spacing:2.9pt"> </span><span class=3D"awspan" style=3D"font-st= yle:italic">the naturalistic,</span><span class=3D"awspan" style=3D"font-st= yle:italic; letter-spacing:3.65pt"> </span><span class=3D"awspan" style=3D"= font-style:italic">pos-positivistic,</span><span class=3D"awspan" style=3D"= font-style:italic; letter-spacing:3.65pt"> </span><span class=3D"awspan" st= yle=3D"font-style:italic">ethnographic,</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:3.65pt"> </span><span class=3D"awspan= " style=3D"font-style:italic">phenomenological,</span><span class=3D"awspan= " style=3D"font-style:italic; letter-spacing:3.65pt"> </span><span class=3D= "awspan" style=3D"font-style:italic">subjetive,</span><span class=3D"awspan= " style=3D"font-style:italic; letter-spacing:3.65pt"> </span><span class=3D= "awspan" style=3D"font-style:italic">case-study, and/or</span><span class= =3D"awspan" style=3D"font-style:italic; letter-spacing:1.75pt"> </span><spa= n class=3D"awspan" style=3D"font-style:italic">hermeneutic</span><span clas= s=3D"awspan" style=3D"font-style:italic; letter-spacing:1.75pt"> </span><sp= an class=3D"awspan" style=3D"font-style:italic">paradigm</span><span class= =3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">= [=E2=80=A6]=E2=80=9D </span><span class=3D"awspan"> </span><span class= =3D"awspan">(Guba</span><span class=3D"awspan" style=3D"letter-spacing:1.75= pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"= letter-spacing:1.75pt"> </span><span class=3D"awspan">Lincoln,</span><span = class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"aws= pan">1988,</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </= span><span class=3D"awspan">p.</span><span class=3D"awspan" style=3D"letter= -spacing:1.75pt"> </span><span class=3D"awspan">89).</span><span class=3D"a= wspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">Os</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span cl= ass=3D"awspan">cr=C3=ADticos</span><span class=3D"awspan" style=3D"letter-s= pacing:1.75pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan= " style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">os defenso= res</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><sp= an class=3D"awspan">destas</span><span class=3D"awspan" style=3D"letter-spa= cing:0.9pt"> </span><span class=3D"awspan">perspetivas</span><span class=3D= "awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">n=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><s= pan class=3D"awspan">consideram</span><span class=3D"awspan" style=3D"lette= r-spacing:0.9pt"> </span><span class=3D"awspan">o</span><span class=3D"awsp= an" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">debate</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span cla= ss=3D"awspan">apenas</span><span class=3D"awspan" style=3D"letter-spacing:0= .9pt"> </span><span class=3D"awspan">como</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">um</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan= ">desacordo</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </= span><span class=3D"awspan">em rela=C3=A7=C3=A3o</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">=C3=A0s</= span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span c= lass=3D"awspan">vantagens</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.3pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">desvantagens<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span = class=3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.3pt"> </span><span class=3D"awspan">m=C3=A9todos</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">qualita= tivos</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span>= <span class=3D"awspan">[associado,</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.3pt"> </span><span class=3D"awspan">principalmente ao</span= ><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span class= =3D"awspan">paradigma</span><span class=3D"awspan" style=3D"letter-spacing:= 1.35pt"> </span><span class=3D"awspan">construtivista]</span><span class=3D= "awspan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">e</= span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span c= lass=3D"awspan">quantitativos</span><span class=3D"awspan" style=3D"letter-= spacing:1.35pt"> </span><span class=3D"awspan">[associado</span><span class= =3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">= ao</span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><sp= an class=3D"awspan">paradigma</span><span class=3D"awspan" style=3D"letter-= spacing:1.35pt"> </span><span class=3D"awspan">positivista],</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspa= n">mas tamb=C3=A9m</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 15pt"> </span><span class=3D"awspan">como</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">um</span><span = class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"aw= span">choque</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt">= </span><span class=3D"awspan">b=C3=A1sico</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">entre</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class= =3D"awspan">paradigmas.</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.15pt"> </span><span class=3D"awspan">Nesta</span><span class=3D"awspan= " style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">conce=C3= =A7=C3=A3o,</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> = </span><span class=3D"awspan">cada</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.15pt"> </span><span class=3D"awspan">tipo</span><span class= =3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan"= >de</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><= span class=3D"awspan">m=C3=A9todo est=C3=A1</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">ligado</span><= span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class= =3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt">= </span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"le= tter-spacing:0.15pt"> </span><span class=3D"awspan">perspetiva</span><span = class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"aws= pan">paradigm=C3=A1tica</span><span class=3D"awspan" style=3D"letter-spacin= g:0.15pt"> </span><span class=3D"awspan">distinta</span><span class=3D"awsp= an" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">e</span>= <span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class= =3D"awspan">=C3=BAnica.</span><span class=3D"awspan" style=3D"letter-spacin= g:0.15pt"> </span><span class=3D"awspan">Isto</span><span class=3D"awspan" = style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">=C3=A9,</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span clas= s=3D"awspan">como</span><span class=3D"awspan" style=3D"letter-spacing:0.15= pt"> </span><span class=3D"awspan">meras</span><span class=3D"awspan" style= =3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">cole=C3=A7=C3=B5e= s de</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><= span class=3D"awspan">diferentes</span><span class=3D"awspan" style=3D"lett= er-spacing:0.25pt"> </span><span class=3D"awspan">estrat=C3=A9gias</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D= "awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </= span><span class=3D"awspan">t=C3=A9cnicas</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">(Guba</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"a= wspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </sp= an><span class=3D"awspan">Lincoln,</span><span class=3D"awspan" style=3D"le= tter-spacing:0.25pt"> </span><span class=3D"awspan">1988).</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan"= >Estas,</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </spa= n><span class=3D"awspan">s=C3=A3o</span><span class=3D"awspan" style=3D"let= ter-spacing:0.25pt"> </span><span class=3D"awspan">as</span><span class=3D"= awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">pers= petivas</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </spa= n><span class=3D"awspan">em confronto.</span><span class=3D"awspan" style= =3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">Criticando</span><= span class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D= "awspan">esta</span><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> = </span><span class=3D"awspan">posi=C3=A7=C3=A3o,</span><span class=3D"awspa= n" style=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">Cook</span= ><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class= =3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> = </span><span class=3D"awspan">Reichard</span><span class=3D"awspan" style= =3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">(1997),</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"aw= span">pensam</span><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> <= /span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"lett= er-spacing:0.2pt"> </span><span class=3D"awspan">colocado</span><span class= =3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">d= esta maneira,</span><span class=3D"awspan" style=3D"letter-spacing:3.65pt">= </span><span class=3D"awspan">estas</span><span class=3D"awspan" style=3D"= letter-spacing:3.65pt"> </span><span class=3D"awspan">afirma=C3=A7=C3=B5es,= </span><span class=3D"awspan" style=3D"letter-spacing:3.65pt"> </span><span= class=3D"awspan">podem</span><span class=3D"awspan" style=3D"letter-spacin= g:3.65pt"> </span><span class=3D"awspan">levar</span><span class=3D"awspan"= style=3D"letter-spacing:3.65pt"> </span><span class=3D"awspan">a</span><sp= an class=3D"awspan" style=3D"letter-spacing:3.65pt"> </span><span class=3D"= awspan">concluir</span><span class=3D"awspan" style=3D"letter-spacing:3.65p= t"> </span><span class=3D"awspan">que</span><span class=3D"awspan" style=3D= "letter-spacing:3.65pt"> </span><span class=3D"awspan">os</span><span class= =3D"awspan" style=3D"letter-spacing:3.65pt"> </span><span class=3D"awspan">= m=C3=A9todos</span><span class=3D"awspan" style=3D"letter-spacing:3.65pt"> = </span><span class=3D"awspan">qualitativos</span><span class=3D"awspan" sty= le=3D"letter-spacing:3.65pt"> </span><span class=3D"awspan">e quantitativos= </span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span= class=3D"awspan">nunca</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.5pt"> </span><span class=3D"awspan">podem</span><span class=3D"awspan"= style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">ser</span><= span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class= =3D"awspan">utilizados</span><span class=3D"awspan" style=3D"letter-spacing= :-0.5pt"> </span><span class=3D"awspan">em</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">conjunto.</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class= =3D"awspan">Contrapondo</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.5pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">posi=C3=A7=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><= span class=3D"awspan">destes</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.5pt"> </span><span class=3D"awspan">dois autores,</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspa= n">Patton</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </= span><span class=3D"awspan">(1988),</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.05pt"> </span><span class=3D"awspan">por</span><span class= =3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan"= >sua</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span>= <span class=3D"awspan">vez,</span><span class=3D"awspan" style=3D"letter-sp= acing:-0.05pt"> </span><span class=3D"awspan">ressalta</span><span class=3D= "awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">qu= e</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><sp= an class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:= -0.05pt"> </span><span class=3D"awspan">prop=C3=B3sito</span><span class=3D= "awspan" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">de= </span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><spa= n class=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spacing:= -0.05pt"> </span><span class=3D"awspan">fazer</span><span class=3D"awspan" = style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">uma</span><= span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">distin=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.05pt"> </span><span class=3D"awspan">do modo</span><span class= =3D"awspan" style=3D"letter-spacing:2.9pt"> </span><span class=3D"awspan">c= omo</span><span class=3D"awspan" style=3D"letter-spacing:2.9pt"> </span><sp= an class=3D"awspan">os</span><span class=3D"awspan" style=3D"letter-spacing= :2.9pt"> </span><span class=3D"awspan">paradigmas</span><span class=3D"awsp= an" style=3D"letter-spacing:2.9pt"> </span><span class=3D"awspan">funcionam= </span><span class=3D"awspan" style=3D"letter-spacing:2.9pt"> </span><span = class=3D"awspan">na</span><span class=3D"awspan" style=3D"letter-spacing:2.= 9pt"> </span><span class=3D"awspan">=E2=80=9Cvida</span><span class=3D"awsp= an" style=3D"letter-spacing:2.9pt"> </span><span class=3D"awspan">real=E2= =80=9D</span><span class=3D"awspan" style=3D"letter-spacing:2.9pt"> </span>= <span class=3D"awspan">-</span><span class=3D"awspan" style=3D"letter-spaci= ng:2.9pt"> </span><span class=3D"awspan">por</span><span class=3D"awspan" s= tyle=3D"letter-spacing:2.9pt"> </span><span class=3D"awspan">meio</span><sp= an class=3D"awspan" style=3D"letter-spacing:2.9pt"> </span><span class=3D"a= wspan">da</span><span class=3D"awspan" style=3D"letter-spacing:2.9pt"> </sp= an><span class=3D"awspan">descri=C3=A7=C3=A3o</span><span class=3D"awspan" = style=3D"letter-spacing:2.9pt"> </span><span class=3D"awspan">das carater= =C3=ADsticas</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> = </span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"lett= er-spacing:0.15pt"> </span><span class=3D"awspan">cada</span><span class=3D= "awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">um<= /span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span = class=3D"awspan">deles</span><span class=3D"awspan" style=3D"letter-spacing= :0.15pt"> </span><span class=3D"awspan">-</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">tem</span><span = class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"aws= pan">como</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </s= pan><span class=3D"awspan">objetivo</span><span class=3D"awspan" style=3D"l= etter-spacing:0.15pt"> </span><span class=3D"awspan">libertar</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awsp= an">os</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span= ><span class=3D"awspan">investigadores</span><span class=3D"awspan" style= =3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">da</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspa= n">liga=C3=A7=C3=A3o que</span><span class=3D"awspan" style=3D"letter-spaci= ng:2.15pt"> </span><span class=3D"awspan">t=C3=AAm</span><span class=3D"aws= pan" style=3D"letter-spacing:2.15pt"> </span><span class=3D"awspan">com</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.15pt"> </span><span cla= ss=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing:2.15p= t"> </span><span class=3D"awspan">=C3=BAnico</span><span class=3D"awspan" s= tyle=3D"letter-spacing:2.15pt"> </span><span class=3D"awspan">paradigma</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.15pt"> </span><span cla= ss=3D"awspan">(tendencialmente</span><span class=3D"awspan" style=3D"letter= -spacing:2.15pt"> </span><span class=3D"awspan">no</span><span class=3D"aws= pan" style=3D"letter-spacing:2.15pt"> </span><span class=3D"awspan">que</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.15pt"> </span><span cla= ss=3D"awspan">foram</span><span class=3D"awspan" style=3D"letter-spacing:2.= 15pt"> </span><span class=3D"awspan">treinados).</span><span class=3D"awspa= n" style=3D"letter-spacing:2.15pt"> </span><span class=3D"awspan">Logo, Pat= ton (1988) refere que =E2=80=9C</span><span class=3D"awspan" style=3D"font-= style:italic">The fallacies in the Cook e Reichard assumptions reside in th= e absolute</span><span class=3D"awspan" style=3D"font-style:italic; letter-= spacing:1.9pt"> </span><span class=3D"awspan" style=3D"font-style:italic">a= nd</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:= 1.9pt"> </span><span class=3D"awspan" style=3D"font-style:italic">overstate= d</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:1= .9pt"> </span><span class=3D"awspan" style=3D"font-style:italic">conditions= </span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:1.= 9pt"> </span><span class=3D"awspan" style=3D"font-style:italic">they</span>= <span class=3D"awspan" style=3D"font-style:italic; letter-spacing:1.9pt"> <= /span><span class=3D"awspan" style=3D"font-style:italic">attach</span><span= class=3D"awspan" style=3D"font-style:italic; letter-spacing:1.9pt"> </span= ><span class=3D"awspan" style=3D"font-style:italic">to</span><span class=3D= "awspan" style=3D"font-style:italic; letter-spacing:1.9pt"> </span><span cl= ass=3D"awspan" style=3D"font-style:italic">paradigm</span><span class=3D"aw= span" style=3D"font-style:italic; letter-spacing:1.9pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">choices</span><span class=3D"awspan= " style=3D"font-style:italic; letter-spacing:1.9pt"> </span><span class=3D"= awspan" style=3D"font-style:italic">and</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:1.9pt"> </span><span class=3D"awspan"= style=3D"font-style:italic">distinction=E2=80=9D </span><span class=3D"aws= pan">(Patton,</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </= span><span class=3D"awspan">1988,</span><span class=3D"awspan" style=3D"let= ter-spacing:1pt"> </span><span class=3D"awspan">p.</span><span class=3D"aws= pan" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan">119).</spa= n><span class=3D"awspan" style=3D"letter-spacing:1pt"> </span><span class= =3D"awspan">Portanto,</span><span class=3D"awspan" style=3D"letter-spacing:= 1pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D= "letter-spacing:1pt"> </span><span class=3D"awspan">primeira</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan">= das</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </span><span= class=3D"awspan">nove</span><span class=3D"awspan" style=3D"letter-spacing= :1pt"> </span><span class=3D"awspan">quest=C3=B5es</span><span class=3D"aws= pan" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan">mais</span= ><span class=3D"awspan" style=3D"letter-spacing:1pt"> </span><span class=3D= "awspan">frequentes</span><span class=3D"awspan" style=3D"letter-spacing:1p= t"> </span><span class=3D"awspan">sobre</span><span class=3D"awspan" style= =3D"letter-spacing:1pt"> </span><span class=3D"awspan">a investiga=C3=A7=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:2.55pt"> </span><= span class=3D"awspan">qualitativa</span><span class=3D"awspan" style=3D"let= ter-spacing:2.55pt"> </span><span class=3D"awspan">apresentadas</span><span= class=3D"awspan" style=3D"letter-spacing:2.55pt"> </span><span class=3D"aw= span">por</span><span class=3D"awspan" style=3D"letter-spacing:2.55pt"> </s= pan><span class=3D"awspan">Bogdan</span><span class=3D"awspan" style=3D"let= ter-spacing:2.55pt"> </span><span class=3D"awspan">&</span><span class= =3D"awspan" style=3D"letter-spacing:2.55pt"> </span><span class=3D"awspan">= Biklen</span><span class=3D"awspan" style=3D"letter-spacing:2.55pt"> </span= ><span class=3D"awspan">(1994)</span><span class=3D"awspan" style=3D"letter= -spacing:2.55pt"> </span><span class=3D"awspan">parece</span><span class=3D= "awspan" style=3D"letter-spacing:2.55pt"> </span><span class=3D"awspan">ser= </span><span class=3D"awspan" style=3D"letter-spacing:2.55pt"> </span><span= class=3D"awspan">ainda recorrente</span><span class=3D"awspan" style=3D"le= tter-spacing:1.15pt"> </span><span class=3D"awspan">nos</span><span class= =3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">= dias</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><= span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spaci= ng:1.15pt"> </span><span class=3D"awspan">hoje,</span><span class=3D"awspan= " style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">por</span>= <span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class= =3D"awspan">isto</span><span class=3D"awspan" style=3D"letter-spacing:1.15p= t"> </span><span class=3D"awspan">preferimos</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">reconfigur=C3= =A1-la</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span= ><span class=3D"awspan">nos</span><span class=3D"awspan" style=3D"letter-sp= acing:1.15pt"> </span><span class=3D"awspan">seguintes</span><span class=3D= "awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">ter= mos:</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><= a id=3D"_Hlk191807409"></a><span class=3D"awspan">=C3=A9 poss=C3=ADvel, num= mesmo estudo, utilizar uma abordagem mista?</span></p><p class=3D"awdiv" s= tyle=3D"padding-bottom:10pt"><a id=3D"_Hlk153450472"></a><span class=3D"aws= pan">Por</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </sp= an><span class=3D"awspan">conceberem</span><span class=3D"awspan" style=3D"= letter-spacing:0.95pt"> </span><span class=3D"awspan">o</span><span class= =3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">= mundo</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span>= <span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spac= ing:0.95pt"> </span><span class=3D"awspan">maneiras</span><span class=3D"aw= span" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">difere= ntes,</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span>= <span class=3D"awspan">os</span><span class=3D"awspan" style=3D"letter-spac= ing:0.95pt"> </span><span class=3D"awspan">pesquisadores</span><span class= =3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">= normalmente</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> <= /span><span class=3D"awspan">usam diferentes</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">m=C3=A9todos<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span = class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:-0= .5pt"> </span><span class=3D"awspan">investiga=C3=A7=C3=A3o.</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspa= n">Os</span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span>= <span class=3D"awspan">m=C3=A9todos</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.5pt"> </span><span class=3D"awspan">qualitativos</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"= awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </s= pan><span class=3D"awspan">quantitativos</span><span class=3D"awspan" style= =3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">normalmente n=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><s= pan class=3D"awspan">s=C3=A3o</span><span class=3D"awspan" style=3D"letter-= spacing:1.2pt"> </span><span class=3D"awspan">utilizados</span><span class= =3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">j= untos</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><= span class=3D"awspan">(cf.</span><span class=3D"awspan" style=3D"letter-spa= cing:1.2pt"> </span><span class=3D"awspan">Patton,</span><span class=3D"aws= pan" style=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">1988).</= span><span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span cl= ass=3D"awspan">Embora</span><span class=3D"awspan" style=3D"letter-spacing:= 1.2pt"> </span><span class=3D"awspan">Patton</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.2pt"> </span><span class=3D"awspan">assuma</span><= span class=3D"awspan" style=3D"letter-spacing:1.2pt"> </span><span class=3D= "awspan">estes</span><span class=3D"awspan" style=3D"letter-spacing:1.2pt">= </span><span class=3D"awspan">pressupostos como</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">sendo</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span cla= ss=3D"awspan">suposi=C3=A7=C3=B5es</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.2pt"> </span><span class=3D"awspan">descritivas,</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"a= wspan">mais</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> <= /span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.2pt"> </span><span class=3D"awspan">car=C3=A1ter</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awsp= an">pedag=C3=B3gicas,</span><span class=3D"awspan" style=3D"letter-spacing:= -0.2pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan" style= =3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">n=C3=A3o,</span><= span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class= =3D"awspan">necessariamente, prescritivas,</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">para</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"a= wspan">Cook</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> <= /span><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter= -spacing:0.25pt"> </span><span class=3D"awspan">Reichard</span><span class= =3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">= (1988),</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </spa= n><span class=3D"awspan">estas</span><span class=3D"awspan" style=3D"letter= -spacing:0.25pt"> </span><span class=3D"awspan">suposi=C3=A7=C3=B5es</span>= <span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class= =3D"awspan">conduzem</span><span class=3D"awspan" style=3D"letter-spacing:0= .25pt"> </span><span class=3D"awspan">intencionalmente ou</span><span class= =3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">= n=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:3.15pt"> </sp= an><span class=3D"awspan">=C3=A0</span><span class=3D"awspan" style=3D"lett= er-spacing:3.15pt"> </span><span class=3D"awspan">conclus=C3=A3o</span><spa= n class=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class=3D"a= wspan">de</span><span class=3D"awspan" style=3D"letter-spacing:3.15pt"> </s= pan><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"letter= -spacing:3.15pt"> </span><span class=3D"awspan">nunca</span><span class=3D"= awspan" style=3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">se</= span><span class=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span c= lass=3D"awspan">deve</span><span class=3D"awspan" style=3D"letter-spacing:3= .15pt"> </span><span class=3D"awspan">utilizar</span><span class=3D"awspan"= style=3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">de</span><s= pan class=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class=3D= "awspan">forma</span><span class=3D"awspan" style=3D"letter-spacing:3.15pt"= > </span><span class=3D"awspan">conjunta</span><span class=3D"awspan" style= =3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">os</span><span cl= ass=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class=3D"awspa= n">m=C3=A9todos qualitativos</span><span class=3D"awspan" style=3D"letter-s= pacing:1.65pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan= " style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">quantitati= vos.</span><span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><= span class=3D"awspan">A</span><span class=3D"awspan" style=3D"letter-spacin= g:1.65pt"> </span><span class=3D"awspan">t=C3=ADtulo</span><span class=3D"a= wspan" style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">de</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span cl= ass=3D"awspan">exemplo,</span><span class=3D"awspan" style=3D"letter-spacin= g:1.65pt"> </span><span class=3D"awspan">Fetterman</span><span class=3D"aws= pan" style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">(1988)<= /span><span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span = class=3D"awspan">considera</span><span class=3D"awspan" style=3D"letter-spa= cing:1.65pt"> </span><span class=3D"awspan">que,</span><span class=3D"awspa= n" style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">h=C3=A1 a= lgum</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><= span class=3D"awspan">tempo,</span><span class=3D"awspan" style=3D"letter-s= pacing:0.65pt"> </span><span class=3D"awspan">se</span><span class=3D"awspa= n" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">desenvolv= eu</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><sp= an class=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing= :0.65pt"> </span><span class=3D"awspan">mito</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">de</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"a= wspan">que</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </= span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-= spacing:0.65pt"> </span><span class=3D"awspan">etnografia</span><span class= =3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">= se</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><sp= an class=3D"awspan">preocupa</span><span class=3D"awspan" style=3D"letter-s= pacing:0.65pt"> </span><span class=3D"awspan">exclusivamente com</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"a= wspan">o</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </sp= an><span class=3D"awspan">dom=C3=ADnio</span><span class=3D"awspan" style= =3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">qualitativo</span= ><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt">= </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"lett= er-spacing:0.35pt"> </span><span class=3D"awspan">avalia=C3=A7=C3=A3o</span= ><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">educacional</span><span class=3D"awspan" style=3D"letter-spacin= g:0.35pt"> </span><span class=3D"awspan">com</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">dados</span><= span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">quantitativos.</span><span class=3D"awspan" style=3D"letter-spa= cing:0.35pt"> </span><span class=3D"awspan">Para</span><span class=3D"awspa= n" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">este auto= r,</span><span class=3D"awspan" style=3D"letter-spacing:5.65pt"> </span><sp= an class=3D"awspan">na</span><span class=3D"awspan" style=3D"letter-spacing= :5.65pt"> </span><span class=3D"awspan">pr=C3=A1tica,</span><span class=3D"= awspan" style=3D"letter-spacing:5.65pt"> </span><span class=3D"awspan">essa= s</span><span class=3D"awspan" style=3D"letter-spacing:5.65pt"> </span><spa= n class=3D"awspan">duas</span><span class=3D"awspan" style=3D"letter-spacin= g:5.65pt"> </span><span class=3D"awspan">medidas</span><span class=3D"awspa= n" style=3D"letter-spacing:5.65pt"> </span><span class=3D"awspan">geralment= e</span><span class=3D"awspan" style=3D"letter-spacing:5.65pt"> </span><spa= n class=3D"awspan">funcionam</span><span class=3D"awspan" style=3D"letter-s= pacing:5.65pt"> </span><span class=3D"awspan">juntas.</span><span class=3D"= awspan" style=3D"letter-spacing:5.65pt"> </span><span class=3D"awspan">Os</= span><span class=3D"awspan" style=3D"letter-spacing:5.65pt"> </span><span c= lass=3D"awspan">dados quantitativos</span><span class=3D"awspan" style=3D"l= etter-spacing:2.35pt"> </span><span class=3D"awspan">podem</span><span clas= s=3D"awspan" style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan"= >ser</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt"> </span><= span class=3D"awspan">validados</span><span class=3D"awspan" style=3D"lette= r-spacing:2.35pt"> </span><span class=3D"awspan">por</span><span class=3D"a= wspan" style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">obser= va=C3=A7=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:2.35p= t"> </span><span class=3D"awspan">qualitativas.</span><span class=3D"awspan= " style=3D"letter-spacing:2.35pt"> </span><span class=3D"awspan">Uma</span>= <span class=3D"awspan" style=3D"letter-spacing:2.35pt"> </span><span class= =3D"awspan">boa</span><span class=3D"awspan" style=3D"letter-spacing:2.35pt= "> </span><span class=3D"awspan">etnografia requer</span><span class=3D"aws= pan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">uma</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span cla= ss=3D"awspan">mistura</span><span class=3D"awspan" style=3D"letter-spacing:= 1.85pt"> </span><span class=3D"awspan">quali-quantitativa?</span><span clas= s=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan"= >Para</span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span>= <span class=3D"awspan">Fetterman,</span><span class=3D"awspan" style=3D"let= ter-spacing:1.85pt"> </span><span class=3D"awspan">o</span><span class=3D"a= wspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">compo= nente</span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span>= <span class=3D"awspan">etnogr=C3=A1fico</span><span class=3D"awspan" style= =3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">do estudo</span><= span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">career</span><span class=3D"awspan"= style=3D"font-style:italic; letter-spacing:0.75pt"> </span><span class=3D"= awspan" style=3D"font-style:italic">intern</span><span class=3D"awspan" sty= le=3D"font-style:italic; letter-spacing:0.75pt"> </span><span class=3D"awsp= an" style=3D"font-style:italic">program</span><span class=3D"awspan" style= =3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">(CIP)</span><span= class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span class=3D"aw= span">documentou</span><span class=3D"awspan" style=3D"letter-spacing:0.75p= t"> </span><span class=3D"awspan">resultados</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.75pt"> </span><span class=3D"awspan">quantitativos= </span><span class=3D"awspan" style=3D"letter-spacing:0.75pt"> </span><span= class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.= 75pt"> </span><span class=3D"awspan">qualitativos do</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">mesm= o</span><span class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><sp= an class=3D"awspan">programa.</span><span class=3D"awspan" style=3D"letter-= spacing:-0.75pt"> </span><span class=3D"awspan">O</span><span class=3D"awsp= an" style=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">estudo<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><span= class=3D"awspan">integrou</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.75pt"> </span><span class=3D"awspan">com</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">sucesso<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><span= class=3D"awspan">os</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.75pt"> </span><span class=3D"awspan">dados</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.75pt"> </span><span class=3D"awspan">qualitativos= </span><span class=3D"awspan" style=3D"letter-spacing:-0.75pt"> </span><spa= n class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.75pt"> </span><span class=3D"awspan">quantitativos. Ali=C3=A1s</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"a= wspan">o</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </sp= an><span class=3D"awspan">pr=C3=B3prio</span><span class=3D"awspan" style= =3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">Patton</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"a= wspan">(1990),</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"= > </span><span class=3D"awspan">mais</span><span class=3D"awspan" style=3D"= letter-spacing:0.85pt"> </span><span class=3D"awspan">tarde,</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspa= n">chega</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </sp= an><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-sp= acing:0.85pt"> </span><span class=3D"awspan">esclarecer</span><span class= =3D"awspan" style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">= que</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><s= pan class=3D"awspan">parte</span><span class=3D"awspan" style=3D"letter-spa= cing:0.85pt"> </span><span class=3D"awspan">da</span><span class=3D"awspan"= style=3D"letter-spacing:0.85pt"> </span><span class=3D"awspan">confus=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.85pt"> </span><= span class=3D"awspan">no debate</span><span class=3D"awspan" style=3D"lette= r-spacing:2.25pt"> </span><span class=3D"awspan">sobre</span><span class=3D= "awspan" style=3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">os<= /span><span class=3D"awspan" style=3D"letter-spacing:2.25pt"> </span><span = class=3D"awspan">paradigmas</span><span class=3D"awspan" style=3D"letter-sp= acing:2.25pt"> </span><span class=3D"awspan">veio</span><span class=3D"awsp= an" style=3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">da</span= ><span class=3D"awspan" style=3D"letter-spacing:2.25pt"> </span><span class= =3D"awspan">sutil</span><span class=3D"awspan" style=3D"letter-spacing:2.25= pt"> </span><span class=3D"awspan">import=C3=A2ncia</span><span class=3D"aw= span" style=3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">da</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.25pt"> </span><span cla= ss=3D"awspan">distin=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"let= ter-spacing:2.25pt"> </span><span class=3D"awspan">entre</span><span class= =3D"awspan" style=3D"letter-spacing:2.25pt"> </span><span class=3D"awspan">= paradigmas </span></p><p class=3D"awdiv"><span style=3D"height:0pt; display= :block; position:absolute; z-index:21"><img src=3D"data:image/png;base64,iV= BORw0KGgoAAAANSUhEUgAAAyEAAARkCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzA= AAOxAAADsQBlSsOGwAAIABJREFUeJzsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8SV1SSWqV66qu= rp7unuk52zu7833P/ondr7Nmzumz026mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74PhgbsfLi5cAGH= 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class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:3pt; color:#ffffff">Conocimiento Cient=C3=ADfico</span><span class=3D"a= wspan" style=3D"font-family:Calibri; letter-spacing:3pt; color:#ffffff"> </= span><span class=3D"awspan" style=3D"font-family:Calibri; letter-spacing:3p= t; color:#ffffff">      </span><span class=3D"awsp= an" style=3D"font-family:Calibri; letter-spacing:3pt; color:#ffffff">P=C3= =A1gina</span><span class=3D"awspan" style=3D"font-family:Calibri; color:#f= fffff"> 134 | </span><span class=3D"awspan" style=3D"font-family:Calibri; f= ont-size:11pt; color:#ffffff">139</span></p><p class=3D"awdiv"><span class= =3D"awspan" style=3D"color:#ffffff">ISSN: 3028-8665Vol. 4 No. 2.</span><spa= n class=3D"awspan" style=3D"color:#ffffff">  </span><span class=3D"aws= pan" style=3D"color:#ffffff">pp. 126 =E2=80=93 139, abril =E2=80=93 junio 2= 025Revista multidisciplinarArt=C3=ADculo original</span></p><p class=3D"awd= iv" 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dcTIQRHjhwhIyODsLAw9u7dS2RkJK2trXR1deH3+2+6vqIoFBcXk5+fz8qVK9m3bx/Jyck0NTVR= VFRESUnJDUEL0vc3AC04A9zOXnb9fSdHPv+SMWPHMmLkCGJiYggzGdECAXp6nDRfvMSpU6c4V1t= 30yvRL5qm0d3dTWtr6+UHPdTW1nLp0iXq6+tDdNGNxOfz0dnZycaNG1m7di0Oh4ODBw+ybNky/H= 4/TU1NvPvuuzf0RVVVli1bxq5duwgEAowaNYq+vj5qa2tJTU0lMzOTL7/88sawSImorq6WWVlZ3= 7tZIQSKomAwGEKNrMfjwe/3f28OGCwWi4WFCxei0+k4d+4cJ06cwOv1snjxYkpKSr7XVkJCAikp= KdTW1pKbm0tjYyPt7e0UFBQghODw4cM0Nzff1E5WVhbTp0/n4sWLNDcHC2BlZSU5OTl4vV6qqqq= uq1dWVsa8efMQDQ0N8v777/+XNz1YBhOK/67+/0b36rX/FXvXmzN47GY2nnvuOXJycv4tf//fy/= 8AgnKjIiDLf+gAAAAASUVORK5CYII=3D" width=3D"77" height=3D"28" alt=3D"" style= =3D"margin-left:443.3pt; position:absolute" /></span><span class=3D"awspan"= >alternativos</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> = </span><span class=3D"awspan">vistos</span><span class=3D"awspan" style=3D"= letter-spacing:3.9pt"> </span><span class=3D"awspan">como</span><span class= =3D"awspan" style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan">v= is=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> </s= pan><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-= spacing:3.9pt"> </span><span class=3D"awspan">mundo</span><span class=3D"aw= span" style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan">concorr= entes</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> </span><= span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacin= g:3.9pt"> </span><span class=3D"awspan">paradigmas</span><span class=3D"aws= pan" style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan">alternat= ivos conceituados</span><span class=3D"awspan" style=3D"letter-spacing:1.8p= t"> </span><span class=3D"awspan">como</span><span class=3D"awspan" style= =3D"letter-spacing:1.8pt"> </span><span class=3D"awspan">vis=C3=B5es</span>= <span class=3D"awspan" style=3D"letter-spacing:1.8pt"> </span><span class= =3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:1.8pt">= </span><span class=3D"awspan">mundo</span><span class=3D"awspan" style=3D"= letter-spacing:1.8pt"> </span><span class=3D"awspan">incompat=C3=ADveis.</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.8pt"> </span><span cla= ss=3D"awspan">Logo,</span><span class=3D"awspan" style=3D"letter-spacing:1.= 8pt"> </span><span class=3D"awspan">=E2=80=9C</span><span class=3D"awspan" = style=3D"font-style:italic">becouse</span><span class=3D"awspan" style=3D"f= ont-style:italic; letter-spacing:1.8pt"> </span><span class=3D"awspan" styl= e=3D"font-style:italic">quantitative</span><span class=3D"awspan" style=3D"= font-style:italic; letter-spacing:1.8pt"> </span><span class=3D"awspan" sty= le=3D"font-style:italic">and qualitative</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:-0.1pt"> </span><span class=3D"awspan= " style=3D"font-style:italic">methods</span><span class=3D"awspan" style=3D= "font-style:italic; letter-spacing:-0.1pt"> </span><span class=3D"awspan" s= tyle=3D"font-style:italic">involve</span><span class=3D"awspan" style=3D"fo= nt-style:italic; letter-spacing:-0.1pt"> </span><span class=3D"awspan" styl= e=3D"font-style:italic">differing</span><span class=3D"awspan" style=3D"fon= t-style:italic; letter-spacing:-0.1pt"> </span><span class=3D"awspan" style= =3D"font-style:italic">strengths</span><span class=3D"awspan" style=3D"font= -style:italic; letter-spacing:-0.1pt"> </span><span class=3D"awspan" style= =3D"font-style:italic">and</span><span class=3D"awspan" style=3D"font-style= :italic; letter-spacing:-0.1pt"> </span><span class=3D"awspan" style=3D"fon= t-style:italic">weakness,</span><span class=3D"awspan" style=3D"font-style:= italic; letter-spacing:-0.1pt"> </span><span class=3D"awspan" style=3D"font= -style:italic">they</span><span class=3D"awspan" style=3D"font-style:italic= ; letter-spacing:-0.1pt"> </span><span class=3D"awspan" style=3D"font-style= :italic">constitute</span><span class=3D"awspan" style=3D"font-style:italic= ; letter-spacing:-0.1pt"> </span><span class=3D"awspan" style=3D"font-style= :italic">alternative, but</span><span class=3D"awspan" style=3D"font-style:= italic; letter-spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"fon= t-style:italic">not</span><span class=3D"awspan" style=3D"font-style:italic= ; letter-spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-styl= e:italic">mutually</span><span class=3D"awspan" style=3D"font-style:italic;= letter-spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-style= :italic">exclusive,</span><span class=3D"awspan" style=3D"font-style:italic= ; letter-spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-styl= e:italic">strategies</span><span class=3D"awspan" style=3D"font-style:itali= c; letter-spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-sty= le:italic">for</span><span class=3D"awspan" style=3D"font-style:italic; let= ter-spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-style:ita= lic">research.</span><span class=3D"awspan" style=3D"font-style:italic; let= ter-spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-style:ita= lic">Both</span><span class=3D"awspan" style=3D"font-style:italic; letter-s= pacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-style:italic">= qualitative</span><span class=3D"awspan" style=3D"font-style:italic; letter= -spacing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-style:italic= ">and</span><span class=3D"awspan" style=3D"font-style:italic; letter-spaci= ng:-0.35pt"> </span><span class=3D"awspan" style=3D"font-style:italic">quan= titative</span><span class=3D"awspan" style=3D"font-style:italic; letter-sp= acing:-0.35pt"> </span><span class=3D"awspan" style=3D"font-style:italic">d= ata can be collected in the same study=E2=80=9D (</span><span class=3D"awsp= an">Patton, 1990).</span></p><p class=3D"awdiv"><span class=3D"awspan">Os</= span><span class=3D"awspan" style=3D"letter-spacing:5.35pt"> </span><span c= lass=3D"awspan">dois</span><span class=3D"awspan" style=3D"letter-spacing:5= .35pt"> </span><span class=3D"awspan">principais</span><span class=3D"awspa= n" style=3D"letter-spacing:5.35pt"> </span><span class=3D"awspan">paradigma= s</span><span class=3D"awspan" style=3D"letter-spacing:5.35pt"> </span><spa= n class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:= 5.35pt"> </span><span class=3D"awspan">investiga=C3=A7=C3=A3o</span><span c= lass=3D"awspan" style=3D"letter-spacing:5.35pt"> </span><span class=3D"awsp= an">v=C3=AAm</span><span class=3D"awspan" style=3D"letter-spacing:5.35pt"> = </span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"lett= er-spacing:5.35pt"> </span><span class=3D"awspan">tradi=C3=A7=C3=B5es</span= ><span class=3D"awspan" style=3D"letter-spacing:5.35pt"> </span><span class= =3D"awspan">diferentes.</span><span class=3D"awspan" style=3D"letter-spacin= g:5.35pt"> </span><span class=3D"awspan">O conglomerado</span><span class= =3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">d= e</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span= class=3D"awspan">atributos</span><span class=3D"awspan" style=3D"letter-sp= acing:0.8pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan= " style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">integram</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span cla= ss=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"= > </span><span class=3D"awspan">paradigma</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">quantitativo</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class= =3D"awspan">prov=C3=A9m</span><span class=3D"awspan" style=3D"letter-spacin= g:0.8pt"> </span><span class=3D"awspan">das</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">ci=C3=AAncias n= aturais</span><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> </spa= n><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spa= cing:2.65pt"> </span><span class=3D"awspan">agron=C3=B3micas,</span><span c= lass=3D"awspan" style=3D"letter-spacing:2.65pt"> </span><span class=3D"awsp= an">ao</span><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> </span= ><span class=3D"awspan">passo</span><span class=3D"awspan" style=3D"letter-= spacing:2.65pt"> </span><span class=3D"awspan">que</span><span class=3D"aws= pan" style=3D"letter-spacing:2.65pt"> </span><span class=3D"awspan">o</span= ><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> </span><span class= =3D"awspan">paradigma</span><span class=3D"awspan" style=3D"letter-spacing:= 2.65pt"> </span><span class=3D"awspan">qualitativo</span><span class=3D"aws= pan" style=3D"letter-spacing:2.65pt"> </span><span class=3D"awspan">teve</s= pan><span class=3D"awspan" style=3D"letter-spacing:2.65pt"> </span><span cl= ass=3D"awspan">sua</span><span class=3D"awspan" style=3D"letter-spacing:2.6= 5pt"> </span><span class=3D"awspan">origem</span><span class=3D"awspan" sty= le=3D"letter-spacing:2.65pt"> </span><span class=3D"awspan">nos trabalhos</= span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span c= lass=3D"awspan">da</span><span class=3D"awspan" style=3D"letter-spacing:1.3= 5pt"> </span><span class=3D"awspan">antropologia</span><span class=3D"awspa= n" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">social</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span cl= ass=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:1.35p= t"> </span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"= letter-spacing:1.35pt"> </span><span class=3D"awspan">sociologia,</span><sp= an class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"= awspan">sobre</span><span class=3D"awspan" style=3D"letter-spacing:1.35pt">= </span><span class=3D"awspan">tudo</span><span class=3D"awspan" style=3D"l= etter-spacing:1.35pt"> </span><span class=3D"awspan">os</span><span class= =3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">= da</span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><sp= an class=3D"awspan">Escola</span><span class=3D"awspan" style=3D"letter-spa= cing:1.35pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan"= style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">Chicago. Po= rtanto,</span><span class=3D"awspan" style=3D"letter-spacing:2.05pt"> </spa= n><span class=3D"awspan">existem</span><span class=3D"awspan" style=3D"lett= er-spacing:2.05pt"> </span><span class=3D"awspan">diferentes</span><span cl= ass=3D"awspan" style=3D"letter-spacing:2.05pt"> </span><span class=3D"awspa= n">formas</span><span class=3D"awspan" style=3D"letter-spacing:2.05pt"> </s= pan><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-= spacing:2.05pt"> </span><span class=3D"awspan">se</span><span class=3D"awsp= an" style=3D"letter-spacing:2.05pt"> </span><span class=3D"awspan">fazer</s= pan><span class=3D"awspan" style=3D"letter-spacing:2.05pt"> </span><span cl= ass=3D"awspan">ci=C3=AAncia</span><span class=3D"awspan" style=3D"letter-sp= acing:2.05pt"> </span><span class=3D"awspan">que</span><span class=3D"awspa= n" style=3D"letter-spacing:2.05pt"> </span><span class=3D"awspan">levam</sp= an><span class=3D"awspan" style=3D"letter-spacing:2.05pt"> </span><span cla= ss=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:2.05pt= "> </span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"= letter-spacing:2.05pt"> </span><span class=3D"awspan">explica=C3=A7=C3=A3o = compreensiva</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt">= </span><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"lett= er-spacing:-0.25pt"> </span><span class=3D"awspan">a</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">uma<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span= class=3D"awspan">compreens=C3=A3o</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.25pt"> </span><span class=3D"awspan">explicativa</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"= awspan">dos</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> = </span><span class=3D"awspan">fen=C3=B3menos</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">que</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class= =3D"awspan">s=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.25pt"> </span><span class=3D"awspan">objeto</span><span class=3D"awspan" = style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">de</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class= =3D"awspan">estudo. Ambas</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.3pt"> </span><span class=3D"awspan">perspetivas</span><span class=3D= "awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">s= =C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </spa= n><span class=3D"awspan">necess=C3=A1rias,</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">ambas</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"= awspan">podem</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt">= </span><span class=3D"awspan">funcionar</span><span class=3D"awspan" style= =3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">juntas</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"a= wspan">e</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </sp= an><span class=3D"awspan">complementando-se uma</span><span class=3D"awspan= " style=3D"letter-spacing:2.3pt"> </span><span class=3D"awspan">a</span><sp= an class=3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span class=3D"a= wspan">outra</span><span class=3D"awspan" style=3D"letter-spacing:2.3pt"> <= /span><span class=3D"awspan">(CooK</span><span class=3D"awspan" style=3D"le= tter-spacing:2.3pt"> </span><span class=3D"awspan">&</span><span class= =3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span class=3D"awspan">R= eichard,</span><span class=3D"awspan" style=3D"letter-spacing:2.3pt"> </spa= n><span class=3D"awspan">1997;</span><span class=3D"awspan" style=3D"letter= -spacing:2.3pt"> </span><span class=3D"awspan">Bogdan</span><span class=3D"= awspan" style=3D"letter-spacing:2.3pt"> </span><span class=3D"awspan">&= </span><span class=3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span = class=3D"awspan">Biklen,</span><span class=3D"awspan" style=3D"letter-spaci= ng:2.3pt"> </span><span class=3D"awspan">1994).</span><span class=3D"awspan= " style=3D"letter-spacing:2.3pt"> </span><span class=3D"awspan">Pelo</span>= <span class=3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span class= =3D"awspan">menos</span><span class=3D"awspan" style=3D"letter-spacing:2.3p= t"> </span><span class=3D"awspan">neste quesito,</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">pode</spa= n><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span clas= s=3D"awspan">dizer-se</span><span class=3D"awspan" style=3D"letter-spacing:= -0.5pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">h=C3=A1,</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class= =3D"awspan">entre</span><span class=3D"awspan" style=3D"letter-spacing:-0.5= pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan" style=3D= "letter-spacing:-0.5pt"> </span><span class=3D"awspan">autores</span><span = class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"aws= pan">citados,</span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt">= </span><span class=3D"awspan">um</span><span class=3D"awspan" style=3D"let= ter-spacing:-0.5pt"> </span><span class=3D"awspan">certo</span><span class= =3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">= consenso</span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </sp= an><span class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.5pt"> </span><span class=3D"awspan">admitir,</span><span class=3D= "awspan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">que= embora</span><span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </span= ><span class=3D"awspan">sejam</span><span class=3D"awspan" style=3D"letter-= spacing:1.5pt"> </span><span class=3D"awspan">geralmente</span><span class= =3D"awspan" style=3D"letter-spacing:1.5pt"> </span><span class=3D"awspan">v= inculados</span><span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </sp= an><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-sp= acing:1.5pt"> </span><span class=3D"awspan">certos</span><span class=3D"aws= pan" style=3D"letter-spacing:1.5pt"> </span><span class=3D"awspan">paradigm= as,</span><span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </span><sp= an class=3D"awspan">os</span><span class=3D"awspan" style=3D"letter-spacing= :1.5pt"> </span><span class=3D"awspan">m=C3=A9todos</span><span class=3D"aw= span" style=3D"letter-spacing:1.5pt"> </span><span class=3D"awspan">quantit= ativos</span><span class=3D"awspan" style=3D"letter-spacing:1.5pt"> </span>= <span class=3D"awspan">e qualitativos</span><span class=3D"awspan" style=3D= "letter-spacing:3.9pt"> </span><span class=3D"awspan">podem</span><span cla= ss=3D"awspan" style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan"= >assumir</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> </spa= n><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"letter-s= pacing:3.9pt"> </span><span class=3D"awspan">l=C3=B3gica</span><span class= =3D"awspan" style=3D"letter-spacing:3.9pt"> </span><span class=3D"awspan">d= e</span><span class=3D"awspan" style=3D"letter-spacing:3.9pt"> </span><span= class=3D"awspan">complementaridade. </span><span class=3D"awspan"> </= span><span class=3D"awspan">Estas</span><span class=3D"awspan" style=3D"let= ter-spacing:3.9pt"> </span><span class=3D"awspan">afirma=C3=A7=C3=B5es cons= eguem</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><= span class=3D"awspan">esclarecer</span><span class=3D"awspan" style=3D"lett= er-spacing:1.6pt"> </span><span class=3D"awspan">algumas</span><span class= =3D"awspan" style=3D"letter-spacing:1.6pt"> </span><span class=3D"awspan">d= =C3=BAvidas</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </= span><span class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter= -spacing:1.6pt"> </span><span class=3D"awspan">rela=C3=A7=C3=A3o</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><span class=3D"aw= span">a</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span= ><span class=3D"awspan">utiliza=C3=A7=C3=A3o</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.6pt"> </span><span class=3D"awspan">conjunta</span= ><span class=3D"awspan" style=3D"letter-spacing:1.6pt"> </span><span class= =3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-spacing:1.6pt"= > </span><span class=3D"awspan">m=C3=A9todos num</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">estudo,<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span= class=3D"awspan">todavia,</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.05pt"> </span><span class=3D"awspan">elas</span><span class=3D"awsp= an" style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">n=C3=A3= o</span><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><sp= an class=3D"awspan">findam</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.05pt"> </span><span class=3D"awspan">o</span><span class=3D"awspan"= style=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">debate.</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span c= lass=3D"awspan">Assim</span><span class=3D"awspan" style=3D"letter-spacing:= -0.05pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">partir</span><s= pan class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">delas</span><span class=3D"awspan" style=3D"letter-spacing:-0.0= 5pt"> </span><span class=3D"awspan">ainda</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.05pt"> </span><span class=3D"awspan">podemos</span><= span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> </span><span class= =3D"awspan">fazer a seguinte quest=C3=A3o:</span></p><p class=3D"awdiv"><a = id=3D"_Hlk191807455"></a><span class=3D"awspan" style=3D"font-style:italic"= >1.3.Como s=C3=A3o tomadas as decis=C3=B5es de escolha dos m=C3=A9todos por= parte do investigador?</span></p><p class=3D"awdiv"><span class=3D"awspan"= >Retomando</span><span class=3D"awspan" style=3D"letter-spacing:4.2pt"> </s= pan><span class=3D"awspan">=C3=A0</span><span class=3D"awspan" style=3D"let= ter-spacing:4.2pt"> </span><span class=3D"awspan">defini=C3=A7=C3=A3o</span= ><span class=3D"awspan" style=3D"letter-spacing:4.2pt"> </span><span class= =3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:4.2pt">= </span><span class=3D"awspan">Patton</span><span class=3D"awspan" style=3D= "letter-spacing:4.2pt"> </span><span class=3D"awspan">(1990),</span><span c= lass=3D"awspan" style=3D"letter-spacing:4.2pt"> </span><span class=3D"awspa= n">pode</span><span class=3D"awspan" style=3D"letter-spacing:4.2pt"> </span= ><span class=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spa= cing:4.2pt"> </span><span class=3D"awspan">perceber,</span><span class=3D"a= wspan" style=3D"letter-spacing:4.2pt"> </span><span class=3D"awspan">que</s= pan><span class=3D"awspan" style=3D"letter-spacing:4.2pt"> </span><span cla= ss=3D"awspan">os</span><span class=3D"awspan" style=3D"letter-spacing:4.2pt= "> </span><span class=3D"awspan">paradigmas, geralmente,</span><span class= =3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span class=3D"awspan">i= nfluenciam</span><span class=3D"awspan" style=3D"letter-spacing:1.1pt"> </s= pan><span class=3D"awspan">e,</span><span class=3D"awspan" style=3D"letter-= spacing:1.1pt"> </span><span class=3D"awspan">nalguns</span><span class=3D"= awspan" style=3D"letter-spacing:1.1pt"> </span><span class=3D"awspan">casos= ,</span><span class=3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span= class=3D"awspan">at=C3=A9</span><span class=3D"awspan" style=3D"letter-spa= cing:1.1pt"> </span><span class=3D"awspan">determinam</span><span class=3D"= awspan" style=3D"letter-spacing:1.1pt"> </span><span class=3D"awspan">as</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span cla= ss=3D"awspan">op=C3=A7=C3=B5es</span><span class=3D"awspan" style=3D"letter= -spacing:1.1pt"> </span><span class=3D"awspan">dos</span><span class=3D"aws= pan" style=3D"letter-spacing:1.1pt"> </span><span class=3D"awspan">seus</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.1pt"> </span><span clas= s=3D"awspan">adeptos, aderentes</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.25pt"> </span><span class=3D"awspan">e/ou</span><span class=3D= "awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">pr= aticantes</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </= span><span class=3D"awspan">=E2=80=93</span><span class=3D"awspan" style=3D= "letter-spacing:-0.25pt"> </span><span class=3D"awspan">como</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awsp= an">j=C3=A1</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> = </span><span class=3D"awspan">tivemos</span><span class=3D"awspan" style=3D= "letter-spacing:-0.25pt"> </span><span class=3D"awspan">a</span><span class= =3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan"= >oportunidade</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"= > </span><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.25pt"> </span><span class=3D"awspan">assinalar</span><span = class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class=3D"aw= span">atr=C3=A1s.</span><span class=3D"awspan" style=3D"letter-spacing:-0.2= 5pt"> </span><span class=3D"awspan">Para</span><span class=3D"awspan" style= =3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">al=C3=A9m de</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span cla= ss=3D"awspan">serem</span><span class=3D"awspan" style=3D"letter-spacing:1.= 25pt"> </span><span class=3D"awspan">um</span><span class=3D"awspan" style= =3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">elemento</span><s= pan class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D= "awspan">influenciador</span><span class=3D"awspan" style=3D"letter-spacing= :1.25pt"> </span><span class=3D"awspan">e/ou</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">determinador,= </span><span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span= class=3D"awspan">estes</span><span class=3D"awspan" style=3D"letter-spacin= g:1.25pt"> </span><span class=3D"awspan">tamb=C3=A9m</span><span class=3D"a= wspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">s=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><= span class=3D"awspan">normativos informando</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">implicitament= e</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><sp= an class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:= -0.15pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">=C3=A9</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class= =3D"awspan">importante,</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.15pt"> </span><span class=3D"awspan">leg=C3=ADtimo,</span><span class= =3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan"= >razo=C3=A1vel</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt= "> </span><span class=3D"awspan">e,</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.15pt"> </span><span class=3D"awspan">sobre</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspa= n">tudo,</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </s= pan><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.15pt"> </span><span class=3D"awspan">que</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">os seu= s</span><span class=3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span= class=3D"awspan">praticantes</span><span class=3D"awspan" style=3D"letter-= spacing:2.3pt"> </span><span class=3D"awspan">devem</span><span class=3D"aw= span" style=3D"letter-spacing:2.3pt"> </span><span class=3D"awspan">fazer</= span><span class=3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span cl= ass=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:2.3pt= "> </span><span class=3D"awspan">que,</span><span class=3D"awspan" style=3D= "letter-spacing:2.3pt"> </span><span class=3D"awspan">obviamente,</span><sp= an class=3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span class=3D"a= wspan">inclui</span><span class=3D"awspan" style=3D"letter-spacing:2.3pt"> = </span><span class=3D"awspan">as</span><span class=3D"awspan" style=3D"lett= er-spacing:2.3pt"> </span><span class=3D"awspan">op=C3=A7=C3=B5es</span><sp= an class=3D"awspan" style=3D"letter-spacing:2.3pt"> </span><span class=3D"a= wspan">pelos</span><span class=3D"awspan" style=3D"letter-spacing:2.3pt"> <= /span><span class=3D"awspan">m=C3=A9todos</span><span class=3D"awspan" styl= e=3D"letter-spacing:2.3pt"> </span><span class=3D"awspan">de investiga=C3= =A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </= span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-= spacing:-0.7pt"> </span><span class=3D"awspan">que,</span><span class=3D"aw= span" style=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">poster= iormente,</span><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </s= pan><span class=3D"awspan">tamb=C3=A9m</span><span class=3D"awspan" style= =3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">tem</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span class=3D"awsp= an">repercuss=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.7pt"> </span><span class=3D"awspan">na</span><span class=3D"awspan" style= =3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">escolha</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.7pt"> </span><span class=3D"= awspan">das</span><span class=3D"awspan" style=3D"letter-spacing:-0.7pt"> <= /span><span class=3D"awspan">t=C3=A9cnicas.</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.7pt"> </span><span class=3D"awspan">Este argumento= enfatiza, de algum modo, um certo determinismo que, no plano da a=C3=A7=C3= =A3o e das op=C3=A7=C3=B5es, pode n=C3=A3o funcionar exatamente como estabe= lecido. Sobre o assunto,</span></p><p class=3D"awdiv"><span class=3D"awspan= " style=3D"font-style:italic">=E2=80=9CMy</span><span class=3D"awspan" styl= e=3D"font-style:italic; letter-spacing:0.2pt"> </span><span class=3D"awspan= " style=3D"font-style:italic">investigation</span><span class=3D"awspan" st= yle=3D"font-style:italic; letter-spacing:0.2pt"> </span><span class=3D"awsp= an" style=3D"font-style:italic">into</span><span class=3D"awspan" style=3D"= font-style:italic; letter-spacing:0.2pt"> </span><span class=3D"awspan" sty= le=3D"font-style:italic">how</span><span class=3D"awspan" style=3D"font-sty= le:italic; letter-spacing:0.2pt"> </span><span class=3D"awspan" style=3D"fo= nt-style:italic">methods</span><span class=3D"awspan" style=3D"font-style:i= talic; letter-spacing:0.2pt"> </span><span class=3D"awspan" style=3D"font-s= tyle:italic">decisions</span><span class=3D"awspan" style=3D"font-style:ita= lic; letter-spacing:0.2pt"> </span><span class=3D"awspan" style=3D"font-sty= le:italic">are</span><span class=3D"awspan" style=3D"font-style:italic; let= ter-spacing:0.2pt"> </span><span class=3D"awspan" style=3D"font-style:itali= c">made</span><span class=3D"awspan" style=3D"font-style:italic; letter-spa= cing:0.2pt"> </span><span class=3D"awspan" style=3D"font-style:italic">reve= aled</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacin= g:0.2pt"> </span><span class=3D"awspan" style=3D"font-style:italic">little<= /span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.2= pt"> </span><span class=3D"awspan" style=3D"font-style:italic">logic</span>= <span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.2pt"> <= /span><span class=3D"awspan" style=3D"font-style:italic">and even</span><sp= an class=3D"awspan" style=3D"font-style:italic; letter-spacing:1.2pt"> </sp= an><span class=3D"awspan" style=3D"font-style:italic">less</span><span clas= s=3D"awspan" style=3D"font-style:italic; letter-spacing:1.2pt"> </span><spa= n class=3D"awspan" style=3D"font-style:italic">adaptation</span><span class= =3D"awspan" style=3D"font-style:italic; letter-spacing:1.2pt"> </span><span= class=3D"awspan" style=3D"font-style:italic">to</span><span class=3D"awspa= n" style=3D"font-style:italic; letter-spacing:1.2pt"> </span><span class=3D= "awspan" style=3D"font-style:italic">situational</span><span class=3D"awspa= n" style=3D"font-style:italic; letter-spacing:1.2pt"> </span><span class=3D= "awspan" style=3D"font-style:italic">needs.</span><span class=3D"awspan" st= yle=3D"font-style:italic; letter-spacing:1.2pt"> </span><span class=3D"awsp= an" style=3D"font-style:italic">Methods</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:1.2pt"> </span><span class=3D"awspan"= style=3D"font-style:italic">decisions</span><span class=3D"awspan" style= =3D"font-style:italic; letter-spacing:1.2pt"> </span><span class=3D"awspan"= style=3D"font-style:italic">tend</span><span class=3D"awspan" style=3D"fon= t-style:italic; letter-spacing:1.2pt"> </span><span class=3D"awspan" style= =3D"font-style:italic">to</span><span class=3D"awspan" style=3D"font-style:= italic; letter-spacing:1.2pt"> </span><span class=3D"awspan" style=3D"font-= style:italic">stem</span><span class=3D"awspan" style=3D"font-style:italic;= letter-spacing:1.2pt"> </span><span class=3D"awspan" style=3D"font-style:i= talic">from disciplinary</span><span class=3D"awspan" style=3D"font-style:i= talic; letter-spacing:1pt"> </span><span class=3D"awspan" style=3D"font-sty= le:italic">habits</span><span class=3D"awspan" style=3D"font-style:italic; = letter-spacing:1pt"> </span><span class=3D"awspan" style=3D"font-style:ital= ic">and</span><span class=3D"awspan" style=3D"font-style:italic; letter-spa= cing:1pt"> </span><span class=3D"awspan" style=3D"font-style:italic">Comfor= t</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:1= pt"> </span><span class=3D"awspan" style=3D"font-style:italic">with</span><= span class=3D"awspan" style=3D"font-style:italic; letter-spacing:1pt"> </sp= an><span class=3D"awspan" style=3D"font-style:italic">what</span><span clas= s=3D"awspan" style=3D"font-style:italic; letter-spacing:1pt"> </span><span = class=3D"awspan" style=3D"font-style:italic">the</span><span class=3D"awspa= n" style=3D"font-style:italic; letter-spacing:1pt"> </span><span class=3D"a= wspan" style=3D"font-style:italic">researcher</span><span class=3D"awspan" = style=3D"font-style:italic; letter-spacing:1pt"> </span><span class=3D"awsp= an" style=3D"font-style:italic">knows</span><span class=3D"awspan" style=3D= "font-style:italic; letter-spacing:1pt"> </span><span class=3D"awspan" styl= e=3D"font-style:italic">best.</span><span class=3D"awspan" style=3D"font-st= yle:italic; letter-spacing:1pt"> </span><span class=3D"awspan" style=3D"fon= t-style:italic">Training and academic socialization tend to make researcher= biased in favor of or against certain approaches</span><span class=3D"awsp= an">=E2=80=9D(Patton, 1990, p.</span><span class=3D"awspan">  </span><= span class=3D"awspan">117).</span></p><p class=3D"awdiv" style=3D"padding-b= ottom:10pt"><span class=3D"awspan">Apesar</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">do</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan= ">assinalado</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> <= /span><span class=3D"awspan">acima,</span><span class=3D"awspan" style=3D"l= etter-spacing:0.6pt"> </span><span class=3D"awspan">tendo</span><span class= =3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">e= m</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span= class=3D"awspan">considera=C3=A7=C3=A3o</span><span class=3D"awspan" style= =3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">o</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">= argumento</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </sp= an><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-s= pacing:0.6pt"> </span><span class=3D"awspan">Patton,</span><span class=3D"a= wspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">acredi= ta-se que</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </s= pan><span class=3D"awspan">os</span><span class=3D"awspan" style=3D"letter-= spacing:-0.1pt"> </span><span class=3D"awspan">paradigmas</span><span class= =3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">= n=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </sp= an><span class=3D"awspan">s=C3=A3o</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.1pt"> </span><span class=3D"awspan">os</span><span class=3D= "awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">=C3= =BAnicos</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </sp= an><span class=3D"awspan">determinantes</span><span class=3D"awspan" style= =3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">na</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspa= n">escolha</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </= span><span class=3D"awspan">dos</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.1pt"> </span><span class=3D"awspan">m=C3=A9todos</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awsp= an">(Reichard</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt">= </span><span class=3D"awspan">& </span></p><p class=3D"awdiv"><span st= yle=3D"height:0pt; display:block; position:absolute; z-index:23"><img src= =3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyEAAARkCAYAAABl3BuiAAAAB= HNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsvWd35FaaJvjce4Fw= jCAZ9MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P/ondr7Nmzumz026mq8t2l0xVyZRKJVf= 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            &#x= a0;   </span><span class=3D"awspan" style=3D"font-family:Calibri;= font-size:11pt; letter-spacing:3pt; color:#ffffff">Conocimiento Cient=C3= =ADfico</span><span class=3D"awspan" style=3D"font-family:Calibri; letter-s= pacing:3pt; color:#ffffff"> </span><span class=3D"awspan" style=3D"font-fam= ily:Calibri; letter-spacing:3pt; color:#ffffff">    &#x= a0; </span><span class=3D"awspan" style=3D"font-family:Calibri; letter-spac= ing:3pt; color:#ffffff">P=C3=A1gina</span><span class=3D"awspan" style=3D"f= ont-family:Calibri; color:#ffffff"> 135 | </span><span class=3D"awspan" sty= le=3D"font-family:Calibri; font-size:11pt; color:#ffffff">139</span></p><p = class=3D"awdiv"><span class=3D"awspan" style=3D"color:#ffffff">ISSN: 3028-8= 665Vol. 4 No. 2.</span><span class=3D"awspan" style=3D"color:#ffffff"> = ; </span><span class=3D"awspan" style=3D"color:#ffffff">pp. 126 =E2=80=93 1= 39, abril =E2=80=93 junio 2025Revista multidisciplinarArt=C3=ADculo origina= l</span></p><p 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C67LZKtEDGJ8Oto7Q+CpWkBScbSChvoG9Ho902bMYOKkSSxYeCf/2P53nlm7lqamJubPn8/w4cN= DESeEIBAIYLfbOXbsGG+//Taf7t/HLdm3cNePFtLb66KsrIy271oHAXa97V/JkF6PnP6/071S62= b6nZ1d3LN4MQCqpgWJweZLzQB0dHQSFRPD9Jn/QVRUJP/4cAcvvvgCZWVl5OTkkJGRQVxcHB6Ph= 4sXL3Ly5Mlgg9rZTt70fG6bN4+ICCsfbt1G+f6D9Hl9VyyuqiqpqakAoaoppaSzs5Po6GgCgQBd= XV03dN5oNBIREYHD4QgRmC6Xi+TkZBRF4dKlS6H8eyMJDw8nLS2Nzs5Ompub0ev1IZqpr6/vJpo= CKbiy5YBgY/nBu++x6sFV5ORMYEhsHIcOHOJ4xXFOnvwavd6AXq9H07TgAkKQmmpjyQ+Xckv2OE= xGI9u3lXLwOoABxMXF8corr1BfX09vby9VVVVMmjQp9Hh/8803OXHixA3dHjNmDKtWreKtt94iO= zubnp4ePB4Pd999N36/n927d7Nr165Qz3g9KS4uxu/3o6oqW7ZswWQysXr1al566SVOnDhx3R5y= sFwDmuYPUHP2LP/98susWLGCsWPH8pMlP2HOvDk0NjTSdOkidrsdnaLDZrMxLNVGSnIK4eZwXK5= e/ra5hH2f7MPnvf6JBWlyK8ePHycrK4uamhqKiop49dVXkVJSXV19U4fNZjNjxoxh+fLlOJ1OWl= pamDBhAps2baKtrY2IiAh0Ot1NbUyfPp2dO3dy+vRpuru7mTlzJhaLhby8PKqrq783Uq8BrR+4p= voLvLjhJebcNoeC2QXExccyJCmByUou/VSJpmlogQDuXhdHv/qKXWW7qK2tveJhfrVIKVFVlaio= KBITEzEYDPz+97/niy++YNy4cVewHdcTIQRHjhwhIyODsLAw9u7dS2RkJK2trXR1deH3+2+6vqI= oFBcXk5+fz8qVK9m3bx/Jyck0NTVRVFRESUnJDUEL0vc3AC04A9zOXnb9fSdHPv+SMWPHMmLkCG= JiYggzGdECAXp6nDRfvMSpU6c4V1t30yvRL5qm0d3dTWtr6+UHPdTW1nLp0iXq6+tDdNGNxOfz0= dnZycaNG1m7di0Oh4ODBw+ybNky/H4/TU1NvPvuuzf0RVVVli1bxq5duwgEAowaNYq+vj5qa2tJ= TU0lMzOTL7/88sawSImorq6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f28OGCwWi4WFCxei0+k4d+4= cJ06cwOv1snjxYkpKSr7XVkJCAikpKdTW1pKbm0tjYyPt7e0UFBQghODw4cM0Nzff1E5WVhbTp0= /n4sWLNDcHC2BlZSU5OTl4vV6qqqquq1dWVsa8efMQDQ0N8v777/+XNz1YBhOK/67+/0b36rX/F= XvXmzN47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAAASUVORK5CYII=3D" width=3D"77"= height=3D"28" alt=3D"" style=3D"margin-left:443.3pt; position:absolute" />= </span><span class=3D"awspan">Cook,</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.3pt"> </span><span class=3D"awspan">1997).</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan= ">Acrescentando</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt= "> </span><span class=3D"awspan">nas</span><span class=3D"awspan" style=3D"= letter-spacing:-0.3pt"> </span><span class=3D"awspan">raz=C3=B5es</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"= awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> <= /span><span class=3D"awspan">j=C3=A1</span><span class=3D"awspan" style=3D"= letter-spacing:-0.3pt"> </span><span class=3D"awspan">foram</span><span cla= ss=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan= ">apresentadas,</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt= "> </span><span class=3D"awspan">no</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.3pt"> </span><span class=3D"awspan">quadro-2</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awsp= an">podemos observar a contribui=C3=A7=C3=A3o dada por </span><a id=3D"_Hlk= 94004117"></a><span class=3D"awspan">Creswell (1994) em rela=C3=A7=C3=A3o = =C3=A0 quest=C3=A3o em debate.</span></p><p class=3D"awdiv"><span class=3D"= awspan" style=3D"font-weight:bold">Quadro 2</span></p><p class=3D"awdiv"><s= pan class=3D"awspan" style=3D"font-style:italic">Crit=C3=A9rios de sele=C3= =A7=C3=A3o dos m=C3=A9todos qualitativos e quantitativos.</span></p><p clas= s=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-s= ize:10pt">Crit=C3=A9rio</span></p><p class=3D"awdiv" style=3D"font-size:10p= t"><span class=3D"awspan" style=3D"font-size:10pt">M=C3=A9todos quantitativ= os</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"aws= pan" style=3D"font-size:10pt">M=C3=A9todos qualitativos</span></p><p class= =3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-si= ze:10pt">Vis=C3=A3o do mundo</span></p><p class=3D"awdiv" style=3D"font-siz= e:10pt"><span class=3D"awspan" style=3D"font-size:10pt">(do investigador)</= span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan"= style=3D"font-size:10pt">Conforto</span><span class=3D"awspan" style=3D"fo= nt-size:10pt; letter-spacing:0.9pt"> </span><span class=3D"awspan" style=3D= "font-size:10pt">do</span><span class=3D"awspan" style=3D"font-size:10pt; l= etter-spacing:0.9pt"> </span><span class=3D"awspan" style=3D"font-size:10pt= ">pesquisador</span><span class=3D"awspan" style=3D"font-size:10pt; letter-= spacing:0.9pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">com<= /span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.9pt"= > </span><span class=3D"awspan" style=3D"font-size:10pt">os pressupostos</s= pan><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:30.8pt">= </span><span class=3D"awspan" style=3D"font-size:10pt">ontol=C3=B3gicos, a= xiol=C3=B3gicos,</span><span class=3D"awspan" style=3D"font-size:10pt; lett= er-spacing:20.3pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">= ret=C3=B3ricos</span><span class=3D"awspan" style=3D"font-size:10pt; letter= -spacing:20.3pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">e = metodol=C3=B3gicos</span><span class=3D"awspan" style=3D"font-size:10pt; le= tter-spacing:8.75pt"> </span><span class=3D"awspan" style=3D"font-size:10pt= ">do</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:8= .75pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">paradigma qu= antitativo</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span clas= s=3D"awspan" style=3D"font-size:10pt">Conforto</span><span class=3D"awspan"= style=3D"font-size:10pt; letter-spacing:0.25pt"> </span><span class=3D"aws= pan" style=3D"font-size:10pt">do</span><span class=3D"awspan" style=3D"font= -size:10pt; letter-spacing:0.25pt"> </span><span class=3D"awspan" style=3D"= font-size:10pt">pesquisador</span><span class=3D"awspan" style=3D"font-size= :10pt; letter-spacing:0.25pt"> </span><span class=3D"awspan" style=3D"font-= size:10pt">com</span><span class=3D"awspan" style=3D"font-size:10pt; letter= -spacing:0.25pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">os= pressupostos</span><span class=3D"awspan" style=3D"font-size:10pt; letter-= spacing:28.15pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">on= tol=C3=B3gicos, axiol=C3=B3gicos,</span><span class=3D"awspan" style=3D"fon= t-size:10pt; letter-spacing:18.95pt"> </span><span class=3D"awspan" style= =3D"font-size:10pt">ret=C3=B3ricos</span><span class=3D"awspan" style=3D"fo= nt-size:10pt; letter-spacing:18.95pt"> </span><span class=3D"awspan" style= =3D"font-size:10pt">e metodol=C3=B3gicos</span><span class=3D"awspan" style= =3D"font-size:10pt; letter-spacing:7.45pt"> </span><span class=3D"awspan" s= tyle=3D"font-size:10pt">do</span><span class=3D"awspan" style=3D"font-size:= 10pt; letter-spacing:7.45pt"> </span><span class=3D"awspan" style=3D"font-s= ize:10pt">paradigma qualitativo</span></p><p class=3D"awdiv" style=3D"font-= size:10pt"><span class=3D"awspan" style=3D"font-size:10pt">Treino e experi= =C3=AAncia do investigador</span></p><p class=3D"awdiv" style=3D"font-size:= 10pt"><span class=3D"awspan" style=3D"font-size:10pt">Habilidades</span><sp= an class=3D"awspan" style=3D"font-size:10pt; letter-spacing:2.35pt"> </span= ><span class=3D"awspan" style=3D"font-size:10pt">de</span><span class=3D"aw= span" style=3D"font-size:10pt; letter-spacing:2.35pt"> </span><span class= =3D"awspan" style=3D"font-size:10pt">reda=C3=A7=C3=A3o</span><span class=3D= "awspan" style=3D"font-size:10pt; letter-spacing:2.35pt"> </span><span clas= s=3D"awspan" style=3D"font-size:10pt">t=C3=A9cnica, habilidades</span><span= class=3D"awspan" style=3D"font-size:10pt; letter-spacing:22.95pt"> </span>= <span class=3D"awspan" style=3D"font-size:10pt">de</span><span class=3D"aws= pan" style=3D"font-size:10pt; letter-spacing:22.95pt"> </span><span class= =3D"awspan" style=3D"font-size:10pt">an=C3=A1lise estat=C3=ADsticas,</span>= <span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:13.9pt"> </s= pan><span class=3D"awspan" style=3D"font-size:10pt">habilidades</span><span= class=3D"awspan" style=3D"font-size:10pt; letter-spacing:13.9pt"> </span><= span class=3D"awspan" style=3D"font-size:10pt">de pesquisa de fontes biblio= gr=C3=A1ficas</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span c= lass=3D"awspan" style=3D"font-size:10pt">Habilidades</span><span class=3D"a= wspan" style=3D"font-size:10pt; letter-spacing:2.2pt"> </span><span class= =3D"awspan" style=3D"font-size:10pt">de</span><span class=3D"awspan" style= =3D"font-size:10pt; letter-spacing:2.2pt"> </span><span class=3D"awspan" st= yle=3D"font-size:10pt">escrita</span><span class=3D"awspan" style=3D"font-s= ize:10pt; letter-spacing:2.2pt"> </span><span class=3D"awspan" style=3D"fon= t-size:10pt">liter=C3=A1ria, habilidades</span><span class=3D"awspan" style= =3D"font-size:10pt; letter-spacing:1.55pt"> </span><span class=3D"awspan" s= tyle=3D"font-size:10pt">de</span><span class=3D"awspan" style=3D"font-size:= 10pt; letter-spacing:1.55pt"> </span><span class=3D"awspan" style=3D"font-s= ize:10pt">an=C3=A1lise</span><span class=3D"awspan" style=3D"font-size:10pt= ; letter-spacing:1.55pt"> </span><span class=3D"awspan" style=3D"font-size:= 10pt">de</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spaci= ng:1.55pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">texto, h= abilidades</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spa= cing:-0.6pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">de</sp= an><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.6pt"> = </span><span class=3D"awspan" style=3D"font-size:10pt">pesquisa</span><span= class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.6pt"> </span><= span class=3D"awspan" style=3D"font-size:10pt">de</span><span class=3D"awsp= an" style=3D"font-size:10pt; letter-spacing:-0.6pt"> </span><span class=3D"= awspan" style=3D"font-size:10pt">fontes bibliogr=C3=A1ficas</span></p><p cl= ass=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font= -size:10pt">Atributos psicol=C3=B3gicos do investigador</span></p><p class= =3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-si= ze:10pt">Conforto</span><span class=3D"awspan" style=3D"font-size:10pt; let= ter-spacing:1.05pt"> </span><span class=3D"awspan" style=3D"font-size:10pt"= >com</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:1= .05pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">diretrizes</= span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:1.05pt"= > </span><span class=3D"awspan" style=3D"font-size:10pt">e</span><span clas= s=3D"awspan" style=3D"font-size:10pt; letter-spacing:1.05pt"> </span><span = class=3D"awspan" style=3D"font-size:10pt">regras para</span><span class=3D"= awspan" style=3D"font-size:10pt; letter-spacing:2.45pt"> </span><span class= =3D"awspan" style=3D"font-size:10pt">a</span><span class=3D"awspan" style= =3D"font-size:10pt; letter-spacing:2.45pt"> </span><span class=3D"awspan" s= tyle=3D"font-size:10pt">realiza=C3=A7=C3=A3o</span><span class=3D"awspan" s= tyle=3D"font-size:10pt; letter-spacing:2.45pt"> </span><span class=3D"awspa= n" style=3D"font-size:10pt">desse</span><span class=3D"awspan" style=3D"fon= t-size:10pt; letter-spacing:2.45pt"> </span><span class=3D"awspan" style=3D= "font-size:10pt">tipo</span><span class=3D"awspan" style=3D"font-size:10pt;= letter-spacing:2.45pt"> </span><span class=3D"awspan" style=3D"font-size:1= 0pt">de pesquisa,</span><span class=3D"awspan" style=3D"font-size:10pt; let= ter-spacing:7.9pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">= baixa</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:= 7.9pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">toler=C3=A2n= cia</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:7.= 9pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">=C3=A0 ambigui= dade</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:1= 6.95pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">[subjetivid= ade], estudos de curta dura=C3=A7=C3=A3o</span></p><p class=3D"awdiv" style= =3D"font-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt">Confort= o</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.35= pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">com</span><span= class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.35pt"> </span><= span class=3D"awspan" style=3D"font-size:10pt">a</span><span class=3D"awspa= n" style=3D"font-size:10pt; letter-spacing:0.35pt"> </span><span class=3D"a= wspan" style=3D"font-size:10pt">falta</span><span class=3D"awspan" style=3D= "font-size:10pt; letter-spacing:0.35pt"> </span><span class=3D"awspan" styl= e=3D"font-size:10pt">de</span><span class=3D"awspan" style=3D"font-size:10p= t; letter-spacing:0.35pt"> </span><span class=3D"awspan" style=3D"font-size= :10pt">regras</span><span class=3D"awspan" style=3D"font-size:10pt; letter-= spacing:0.35pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">e p= rocedimentos</span><span class=3D"awspan" style=3D"font-size:10pt; letter-s= pacing:-0.5pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">espe= c=C3=ADficos</span><span class=3D"awspan" style=3D"font-size:10pt; letter-s= pacing:-0.5pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">para= </span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.5p= t"> </span><span class=3D"awspan" style=3D"font-size:10pt">a realiza=C3=A7= =C3=A3o</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacin= g:6.1pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">de</span><= span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:6.1pt"> </spa= n><span class=3D"awspan" style=3D"font-size:10pt">pesquisas,</span><span cl= ass=3D"awspan" style=3D"font-size:10pt; letter-spacing:6.1pt"> </span><span= class=3D"awspan" style=3D"font-size:10pt">alta toler=C3=A2ncia</span><span= class=3D"awspan" style=3D"font-size:10pt; letter-spacing:13.95pt"> </span>= <span class=3D"awspan" style=3D"font-size:10pt">=C3=A0</span><span class=3D= "awspan" style=3D"font-size:10pt; letter-spacing:13.95pt"> </span><span cla= ss=3D"awspan" style=3D"font-size:10pt">ambiguidade, estudos de longa dura= =C3=A7=C3=A3o</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span c= lass=3D"awspan" style=3D"font-size:10pt">Natureza do problema</span></p><p = class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"fo= nt-size:10pt">Anteriormente</span><span class=3D"awspan" style=3D"font-size= :10pt; letter-spacing:10.7pt"> </span><span class=3D"awspan" style=3D"font-= size:10pt">estudado</span><span class=3D"awspan" style=3D"font-size:10pt; l= etter-spacing:10.7pt"> </span><span class=3D"awspan" style=3D"font-size:10p= t">por outros</span><span class=3D"awspan" style=3D"font-size:10pt; letter-= spacing:1.6pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">pesq= uisadores</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spac= ing:1.6pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">a</span>= <span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:1.6pt"> </sp= an><span class=3D"awspan" style=3D"font-size:10pt">partir</span><span class= =3D"awspan" style=3D"font-size:10pt; letter-spacing:1.6pt"> </span><span cl= ass=3D"awspan" style=3D"font-size:10pt">do corpo</span><span class=3D"awspa= n" style=3D"font-size:10pt; letter-spacing:6.6pt"> </span><span class=3D"aw= span" style=3D"font-size:10pt">de</span><span class=3D"awspan" style=3D"fon= t-size:10pt; letter-spacing:6.6pt"> </span><span class=3D"awspan" style=3D"= font-size:10pt">literatura</span><span class=3D"awspan" style=3D"font-size:= 10pt; letter-spacing:6.6pt"> </span><span class=3D"awspan" style=3D"font-si= ze:10pt">existente, vari=C3=A1veis</span><span class=3D"awspan" style=3D"fo= nt-size:10pt; letter-spacing:9.45pt"> </span><span class=3D"awspan" style= =3D"font-size:10pt">conhecidas,</span><span class=3D"awspan" style=3D"font-= size:10pt; letter-spacing:9.45pt"> </span><span class=3D"awspan" style=3D"f= ont-size:10pt">teorias existentes </span></p><p class=3D"awdiv" style=3D"fo= nt-size:10pt"><span class=3D"awspan" style=3D"font-size:10pt">Pesquisa</spa= n><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.5pt"> </= span><span class=3D"awspan" style=3D"font-size:10pt">explorat=C3=B3ria,</sp= an><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.5pt"> <= /span><span class=3D"awspan" style=3D"font-size:10pt">vari=C3=A1veis</span>= <span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.5pt"> </sp= an><span class=3D"awspan" style=3D"font-size:10pt">desconhecidas,</span><sp= an class=3D"awspan" style=3D"font-size:10pt; letter-spacing:20.45pt"> </spa= n><span class=3D"awspan" style=3D"font-size:10pt">import=C3=A2ncia [valoriz= a=C3=A7=C3=A3o]</span><span class=3D"awspan" style=3D"font-size:10pt; lette= r-spacing:13.15pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">= do</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:13.= 15pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">contexto, pod= em</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.6= 5pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">carecer</span>= <span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:0.65pt"> </s= pan><span class=3D"awspan" style=3D"font-size:10pt">de</span><span class=3D= "awspan" style=3D"font-size:10pt; letter-spacing:0.65pt"> </span><span clas= s=3D"awspan" style=3D"font-size:10pt">bases</span><span class=3D"awspan" st= yle=3D"font-size:10pt; letter-spacing:0.65pt"> </span><span class=3D"awspan= " style=3D"font-size:10pt">te=C3=B3ricas para o estudo</span></p><p class= =3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-si= ze:10pt">P=C3=BAblico</span><span class=3D"awspan" style=3D"font-size:10pt;= letter-spacing:10.85pt"> </span><span class=3D"awspan" style=3D"font-size:= 10pt">para</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spa= cing:10.85pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">o</sp= an><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:10.85pt">= </span><span class=3D"awspan" style=3D"font-size:10pt">qual</span><span cl= ass=3D"awspan" style=3D"font-size:10pt; letter-spacing:10.85pt"> </span><sp= an class=3D"awspan" style=3D"font-size:10pt">=C3=A9 apresentado</span><span= class=3D"awspan" style=3D"font-size:10pt; letter-spacing:8.25pt"> </span><= span class=3D"awspan" style=3D"font-size:10pt">o</span><span class=3D"awspa= n" style=3D"font-size:10pt; letter-spacing:8.25pt"> </span><span class=3D"a= wspan" style=3D"font-size:10pt">estudo</span><span class=3D"awspan" style= =3D"font-size:10pt; letter-spacing:8.25pt"> </span><span class=3D"awspan" s= tyle=3D"font-size:10pt">(por exemplo,</span><span class=3D"awspan" style=3D= "font-size:10pt; letter-spacing:1.45pt"> </span><span class=3D"awspan" styl= e=3D"font-size:10pt">editores</span><span class=3D"awspan" style=3D"font-si= ze:10pt; letter-spacing:1.45pt"> </span><span class=3D"awspan" style=3D"fon= t-size:10pt">e</span><span class=3D"awspan" style=3D"font-size:10pt; letter= -spacing:1.45pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">le= itores</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing= :1.45pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">de peri=C3= =B3dicos,</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spac= ing:19.05pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">comit= =C3=AAs</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacin= g:19.05pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">de avali= a=C3=A7=C3=A3o de p=C3=B3s-gradua=C3=A7=C3=A3o=E2=80=A6)</span></p><p class= =3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" style=3D"font-si= ze:10pt">Indiv=C3=ADduos</span><span class=3D"awspan" style=3D"font-size:10= pt; letter-spacing:2.65pt"> </span><span class=3D"awspan" style=3D"font-siz= e:10pt">que</span><span class=3D"awspan" style=3D"font-size:10pt; letter-sp= acing:2.65pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">se</s= pan><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:2.65pt">= </span><span class=3D"awspan" style=3D"font-size:10pt">rev=C3=AAm</span><s= pan class=3D"awspan" style=3D"font-size:10pt; letter-spacing:2.65pt"> </spa= n><span class=3D"awspan" style=3D"font-size:10pt">/</span><span class=3D"aw= span" style=3D"font-size:10pt; letter-spacing:2.65pt"> </span><span class= =3D"awspan" style=3D"font-size:10pt">que apoiam estudos quantitativos</span= ></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"awspan" sty= le=3D"font-size:10pt">Indiv=C3=ADduos</span><span class=3D"awspan" style=3D= "font-size:10pt; letter-spacing:2.15pt"> </span><span class=3D"awspan" styl= e=3D"font-size:10pt">que</span><span class=3D"awspan" style=3D"font-size:10= pt; letter-spacing:2.15pt"> </span><span class=3D"awspan" style=3D"font-siz= e:10pt">se</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spa= cing:2.15pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">rev=C3= =AAm</span><span class=3D"awspan" style=3D"font-size:10pt; letter-spacing:2= .15pt"> </span><span class=3D"awspan" style=3D"font-size:10pt">/</span><spa= n class=3D"awspan" style=3D"font-size:10pt; letter-spacing:2.15pt"> </span>= <span class=3D"awspan" style=3D"font-size:10pt">que apoiam estudos qualitat= ivos</span></p><p class=3D"awdiv" style=3D"font-size:10pt"><span class=3D"a= wspan" style=3D"font-size:10pt">Fonte: Creswell (1994)</span></p><p class= =3D"awdiv" style=3D"padding-bottom:10pt"><span class=3D"awspan">Embora</spa= n><span class=3D"awspan" style=3D"letter-spacing:3.55pt"> </span><span clas= s=3D"awspan">n=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:= 3.55pt"> </span><span class=3D"awspan">esgote</span><span class=3D"awspan" = style=3D"letter-spacing:3.55pt"> </span><span class=3D"awspan">todo</span><= span class=3D"awspan" style=3D"letter-spacing:3.55pt"> </span><span class= =3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:3.55pt">= </span><span class=3D"awspan">leque</span><span class=3D"awspan" style=3D"= letter-spacing:3.55pt"> </span><span class=3D"awspan">de</span><span class= =3D"awspan" style=3D"letter-spacing:3.55pt"> </span><span class=3D"awspan">= raz=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacing:3.55pt"> <= /span><span class=3D"awspan">para</span><span class=3D"awspan" style=3D"let= ter-spacing:3.55pt"> </span><span class=3D"awspan">se</span><span class=3D"= awspan" style=3D"letter-spacing:3.55pt"> </span><span class=3D"awspan">adot= ar</span><span class=3D"awspan" style=3D"letter-spacing:3.55pt"> </span><sp= an class=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing= :3.55pt"> </span><span class=3D"awspan">ou</span><span class=3D"awspan" sty= le=3D"letter-spacing:3.55pt"> </span><span class=3D"awspan">outro</span><sp= an class=3D"awspan" style=3D"letter-spacing:3.55pt"> </span><span class=3D"= awspan">m=C3=A9todo, acrescentando</span><span class=3D"awspan" style=3D"le= tter-spacing:0.3pt"> </span><span class=3D"awspan">os</span><span class=3D"= awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">eleme= ntos</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><s= pan class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spacin= g:0.3pt"> </span><span class=3D"awspan">quadro</span><span class=3D"awspan"= style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">=E2=80=93</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span cla= ss=3D"awspan">2</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"= > </span><span class=3D"awspan">=C3=A0</span><span class=3D"awspan" style= =3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">influ=C3=AAncia</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span cla= ss=3D"awspan">exercida</span><span class=3D"awspan" style=3D"letter-spacing= :0.3pt"> </span><span class=3D"awspan">pelos</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">paradigmas,</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span cla= ss=3D"awspan">pode se</span><span class=3D"awspan" style=3D"letter-spacing:= 1.15pt"> </span><span class=3D"awspan">dizer</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">que</span><sp= an class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"= awspan">j=C3=A1</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt= "> </span><span class=3D"awspan">h=C3=A1</span><span class=3D"awspan" style= =3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">elementos</span><= span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class= =3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt= "> </span><span class=3D"awspan">podem</span><span class=3D"awspan" style= =3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">nos</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awsp= an">ajudar</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </= span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-= spacing:1.15pt"> </span><span class=3D"awspan">perceber</span><span class= =3D"awspan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">= os</span><span class=3D"awspan" style=3D"letter-spacing:1.15pt"> </span><sp= an class=3D"awspan">motivos</span><span class=3D"awspan" style=3D"letter-sp= acing:1.15pt"> </span><span class=3D"awspan">pelos</span><span class=3D"aws= pan" style=3D"letter-spacing:1.15pt"> </span><span class=3D"awspan">quais m= uitos</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span>= <span class=3D"awspan">investigadores</span><span class=3D"awspan" style=3D= "letter-spacing:0.45pt"> </span><span class=3D"awspan">optam</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspa= n">por</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span= ><span class=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spa= cing:0.45pt"> </span><span class=3D"awspan">m=C3=A9todo</span><span class= =3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">= em</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><sp= an class=3D"awspan">detrimento</span><span class=3D"awspan" style=3D"letter= -spacing:0.45pt"> </span><span class=3D"awspan">do</span><span class=3D"aws= pan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">outro.<= /span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span = class=3D"awspan">Este</span><span class=3D"awspan" style=3D"letter-spacing:= 0.45pt"> </span><span class=3D"awspan">quadro,</span><span class=3D"awspan"= style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">com certeza= ,</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><spa= n class=3D"awspan">mereceria</span><span class=3D"awspan" style=3D"letter-s= pacing:0.55pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan= " style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">cr=C3=ADti= ca</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><sp= an class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing= :0.55pt"> </span><span class=3D"awspan">Reichard</span><span class=3D"awspa= n" style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">e</span><= span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class= =3D"awspan">Cook</span><span class=3D"awspan" style=3D"letter-spacing:0.55p= t"> </span><span class=3D"awspan">pelo</span><span class=3D"awspan" style= =3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">modo</span><span = class=3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"aws= pan">como</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> </s= pan><span class=3D"awspan">polariza</span><span class=3D"awspan" style=3D"l= etter-spacing:0.55pt"> </span><span class=3D"awspan">os</span><span class= =3D"awspan" style=3D"letter-spacing:0.55pt"> </span><span class=3D"awspan">= m=C3=A9todos</span><span class=3D"awspan" style=3D"letter-spacing:0.55pt"> = </span><span class=3D"awspan">e pela</span><span class=3D"awspan" style=3D"= letter-spacing:0.5pt"> </span><span class=3D"awspan">forma</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">= como</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><s= pan class=3D"awspan">escapa</span><span class=3D"awspan" style=3D"letter-sp= acing:0.5pt"> </span><span class=3D"awspan">(foge)</span><span class=3D"aws= pan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">ao</span= ><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class= =3D"awspan">di=C3=A1logo</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.5pt"> </span><span class=3D"awspan">dos</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">paradigmas</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span clas= s=3D"awspan">(Guba,</span><span class=3D"awspan" style=3D"letter-spacing:0.= 5pt"> </span><span class=3D"awspan">1990).</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">Mas</span><span = class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"awsp= an">do</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span>= <span class=3D"awspan">ponto de</span><span class=3D"awspan" style=3D"lette= r-spacing:0.95pt"> </span><span class=3D"awspan">vista</span><span class=3D= "awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">ped= ag=C3=B3gico</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> = </span><span class=3D"awspan">podemos</span><span class=3D"awspan" style=3D= "letter-spacing:0.95pt"> </span><span class=3D"awspan">lhe</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan"= >reconhecer</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> <= /span><span class=3D"awspan">alguma</span><span class=3D"awspan" style=3D"l= etter-spacing:0.95pt"> </span><span class=3D"awspan">pertin=C3=AAncia.</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span clas= s=3D"awspan">Que</span><span class=3D"awspan" style=3D"letter-spacing:0.95p= t"> </span><span class=3D"awspan">um</span><span class=3D"awspan" style=3D"= letter-spacing:0.95pt"> </span><span class=3D"awspan">estudo</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspa= n">pode ser</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </= span><span class=3D"awspan">caraterizado</span><span class=3D"awspan" style= =3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">por</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan= ">uma</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><= span class=3D"awspan" style=3D"font-style:italic">mix</span><span class=3D"= awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">abord= agem</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><s= pan class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-sp= acing:1.7pt"> </span><span class=3D"awspan">j=C3=A1</span><span class=3D"aw= span" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">sabido<= /span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span c= lass=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:1.= 7pt"> </span><span class=3D"awspan">sim;</span><span class=3D"awspan" style= =3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">agora,</span><span= class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"aws= pan">consideremos</span><span class=3D"awspan" style=3D"letter-spacing:1.7p= t"> </span><span class=3D"awspan">a seguinte quest=C3=A3o:</span></p><p cla= ss=3D"awdiv"><span style=3D"height:0pt; display:block; position:absolute; z= -index:25"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyEAAA= RkCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUe= JzsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P/ondr7Nmzumz= 026mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74PhgbsfLi5cAGHIoL+PxGQwAFy8AC6A93ktOfHDf+R= QUFBQUGgKOG/OI9UehwMAWesoYlPe2AiEix9YuzbAwa1xOAhMIr4nABgnQlb3cRPiEZsQApNzGN= wEYQxaLAItogOMwpQrEgprq0CYDchvi2GLsJatHbivKQfEuQhc0b3P5oLUMa2knO5zb8tbr2wNz= 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IAgBIiyWECoet4umC67LZKtEDGJ8Oto7Q+CpWkBScbSChvoG9Ho902bMYOKkSSxYeCf/2P53nlm= 7lqamJubPn8/w4cNDESeEIBAIYLfbOXbsGG+//Taf7t/HLdm3cNePFtLb66KsrIy271oHAXa97V= /JkF6PnP6/071S62b6nZ1d3LN4MQCqpgWJweZLzQB0dHQSFRPD9Jn/QVRUJP/4cAcvvvgCZWVl5= OTkkJGRQVxcHB6Ph4sXL3Ly5Mlgg9rZTt70fG6bN4+ICCsfbt1G+f6D9Hl9VyyuqiqpqakAoaop= paSzs5Po6GgCgQBdXV03dN5oNBIREYHD4QgRmC6Xi+TkZBRF4dKlS6H8eyMJDw8nLS2Nzs5Ompu= b0ev1IZqpr6/vJpoCKbiy5YBgY/nBu++x6sFV5ORMYEhsHIcOHOJ4xXFOnvwavd6AXq9H07TgAk= KQmmpjyQ+Xckv2OExGI9u3lXLwOoABxMXF8corr1BfX09vby9VVVVMmjQp9Hh/8803OXHixA3dH= jNmDKtWreKtt94iOzubnp4ePB4Pd999N36/n927d7Nr165Qz3g9KS4uxu/3o6oqW7ZswWQysXr1= al566SVOnDhx3R5ysFwDmuYPUHP2LP/98susWLGCsWPH8pMlP2HOvDk0NjTSdOkidrsdnaLDZrM= xLNVGSnIK4eZwXK5e/ra5hH2f7MPnvf6JBWlyK8ePHycrK4uamhqKiop49dVXkVJSXV19U4fNZj= Njxoxh+fLlOJ1OWlpamDBhAps2baKtrY2IiAh0Ot1NbUyfPp2dO3dy+vRpuru7mTlzJhaLhby8P= Kqrq783Uq8BrR+4pvoLvLjhJebcNoeC2QXExccyJCmByUou/VSJpmlogQDuXhdHv/qKXWW7qK2t= veJhfrVIKVFVlaioKBITEzEYDPz+97/niy++YNy4cVewHdcTIQRHjhwhIyODsLAw9u7dS2RkJK2= trXR1deH3+2+6vqIoFBcXk5+fz8qVK9m3bx/Jyck0NTVRVFRESUnJDUEL0vc3AC04A9zOXnb9fS= dHPv+SMWPHMmLkCGJiYggzGdECAXp6nDRfvMSpU6c4V1t30yvRL5qm0d3dTWtr6+UHPdTW1nLp0= iXq6+tDdNGNxOfz0dnZycaNG1m7di0Oh4ODBw+ybNky/H4/TU1NvPvuuzf0RVVVli1bxq5duwgE= AowaNYq+vj5qa2tJTU0lMzOTL7/88sawSImorq6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f28OGCw= Wi4WFCxei0+k4d+4cJ06cwOv1snjxYkpKSr7XVkJCAikpKdTW1pKbm0tjYyPt7e0UFBQghODw4c= M0Nzff1E5WVhbTp0/n4sWLNDcHC2BlZSU5OTl4vV6qqqquq1dWVsa8efMQDQ0N8v777/+XNz1YB= hOK/67+/0b36rX/FXvXmzN47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAAASUVORK5CYII= =3D" width=3D"77" height=3D"28" alt=3D"" style=3D"margin-left:443.3pt; posi= tion:absolute" /></span><span class=3D"awspan" style=3D"font-style:italic">= 1.4. Quais s=C3=A3o as vantagens de empreender um estudo quali-quantitativo= (mix method)?</span></p><p class=3D"awdiv"><span class=3D"awspan">Um</span= ><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class= =3D"awspan">investigador</span><span class=3D"awspan" style=3D"letter-spaci= ng:3.1pt"> </span><span class=3D"awspan">n=C3=A3o</span><span class=3D"awsp= an" style=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">tem</span= ><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class= =3D"awspan">raz=C3=B5es</span><span class=3D"awspan" style=3D"letter-spacin= g:3.1pt"> </span><span class=3D"awspan">para</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">aderir</span><= span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D= "awspan">cegamente</span><span class=3D"awspan" style=3D"letter-spacing:3.1= pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"= letter-spacing:3.1pt"> </span><span class=3D"awspan">um</span><span class= =3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">o= u</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span= class=3D"awspan">outro</span><span class=3D"awspan" style=3D"letter-spacin= g:3.1pt"> </span><span class=3D"awspan">paradigma polarizado</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspa= n">com</span><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span= ><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.6pt"> </span><span class=3D"awspan">denomina=C3=A7=C3=A3o</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span class=3D"a= wspan">de</span><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </s= pan><span class=3D"awspan">qualitativo</span><span class=3D"awspan" style= =3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">ou</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspa= n">quantitativo.</span><span class=3D"awspan" style=3D"letter-spacing:-0.6p= t"> </span><span class=3D"awspan">Deste</span><span class=3D"awspan" style= =3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">modo,</span><span= class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span class=3D"aw= span">o</span><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </spa= n><span class=3D"awspan">investigador pode</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">livremente</span= ><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class= =3D"awspan">optar</span><span class=3D"awspan" style=3D"letter-spacing:0.9p= t"> </span><span class=3D"awspan">por</span><span class=3D"awspan" style=3D= "letter-spacing:0.9pt"> </span><span class=3D"awspan">um</span><span class= =3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan" s= tyle=3D"font-style:italic">mix</span><span class=3D"awspan" style=3D"font-s= tyle:italic; letter-spacing:0.9pt"> </span><span class=3D"awspan" style=3D"= font-style:italic">method</span><span class=3D"awspan" style=3D"font-style:= italic; letter-spacing:0.9pt"> </span><span class=3D"awspan">quali-quantita= tivo</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><s= pan class=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-spacin= g:0.9pt"> </span><span class=3D"awspan">fun=C3=A7=C3=A3o</span><span class= =3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">d= as</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><spa= n class=3D"awspan">exig=C3=AAncias do</span><span class=3D"awspan" style=3D= "letter-spacing:-0.2pt"> </span><span class=3D"awspan">seu</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan"= >problema</span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </s= pan><span class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-= spacing:-0.2pt"> </span><span class=3D"awspan">investiga=C3=A7=C3=A3o</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class= =3D"awspan">(Reichard</span><span class=3D"awspan" style=3D"letter-spacing:= -0.2pt"> </span><span class=3D"awspan">&</span><span class=3D"awspan" s= tyle=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">Cook,</span><= span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span class= =3D"awspan">1997).</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 2pt"> </span><span class=3D"awspan">Come=C3=A7ando</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.2pt"> </span><span class=3D"awspan">pelas</= span><span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> </span><span c= lass=3D"awspan">vantagens, o</span><span class=3D"awspan" style=3D"letter-s= pacing:0.35pt"> </span><span class=3D"awspan">autor</span><span class=3D"aw= span" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">citado= </span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span= class=3D"awspan">aponta</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.35pt"> </span><span class=3D"awspan">pelo</span><span class=3D"awspan"= style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">menos</span= ><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">tr=C3=AAs:</span><span class=3D"awspan" style=3D"letter-spacing= :0.35pt"> </span><span class=3D"awspan">i)</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">objetivos</span= ><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">m=C3=BAltiplos</span><span class=3D"awspan" style=3D"letter-spa= cing:0.35pt"> </span><span class=3D"awspan">=E2=80=93</span><span class=3D"= awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">a</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span cl= ass=3D"awspan">variedade</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.35pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">condi=C3=A7= =C3=B5es exige</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt">= </span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"le= tter-spacing:3.1pt"> </span><span class=3D"awspan">variedade</span><span cl= ass=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan= ">de</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </span><s= pan class=3D"awspan">m=C3=A9todos;</span><span class=3D"awspan" style=3D"le= tter-spacing:3.1pt"> </span><span class=3D"awspan">ii)</span><span class=3D= "awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">refo= r=C3=A7o</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> </spa= n><span class=3D"awspan">m=C3=BAtuo</span><span class=3D"awspan" style=3D"l= etter-spacing:3.1pt"> </span><span class=3D"awspan">dos</span><span class= =3D"awspan" style=3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">m= =C3=A9todos:</span><span class=3D"awspan" style=3D"letter-spacing:3.1pt"> <= /span><span class=3D"awspan">empregados</span><span class=3D"awspan" style= =3D"letter-spacing:3.1pt"> </span><span class=3D"awspan">em conjunto</span>= <span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span class= =3D"awspan">os</span><span class=3D"awspan" style=3D"letter-spacing:3.25pt"= > </span><span class=3D"awspan">m=C3=A9todos</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.25pt"> </span><span class=3D"awspan">podem</span><= span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span class= =3D"awspan">refor=C3=A7ar-se</span><span class=3D"awspan" style=3D"letter-s= pacing:3.25pt"> </span><span class=3D"awspan">uns</span><span class=3D"awsp= an" style=3D"letter-spacing:3.25pt"> </span><span class=3D"awspan">aos</spa= n><span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span clas= s=3D"awspan">outros</span><span class=3D"awspan" style=3D"letter-spacing:3.= 25pt"> </span><span class=3D"awspan">criando</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.25pt"> </span><span class=3D"awspan">sinergias</sp= an><span class=3D"awspan" style=3D"letter-spacing:3.25pt"> </span><span cla= ss=3D"awspan">para</span><span class=3D"awspan" style=3D"letter-spacing:3.2= 5pt"> </span><span class=3D"awspan">nos fornecerem</span><span class=3D"aws= pan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">resultad= os</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><spa= n class=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing= :0.6pt"> </span><span class=3D"awspan">nenhum</span><span class=3D"awspan" = style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">deles</span><= span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D= "awspan">nos</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> <= /span><span class=3D"awspan">daria</span><span class=3D"awspan" style=3D"le= tter-spacing:0.6pt"> </span><span class=3D"awspan">individualmente;</span><= span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D= "awspan">iii)</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> = </span><span class=3D"awspan">Triangula=C3=A7=C3=A3o</span><span class=3D"a= wspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">=E2=80= =93 como</span><span class=3D"awspan" style=3D"letter-spacing:3.5pt"> </spa= n><span class=3D"awspan">nenhum</span><span class=3D"awspan" style=3D"lette= r-spacing:3.5pt"> </span><span class=3D"awspan">m=C3=A9todo</span><span cla= ss=3D"awspan" style=3D"letter-spacing:3.5pt"> </span><span class=3D"awspan"= >est=C3=A1</span><span class=3D"awspan" style=3D"letter-spacing:3.5pt"> </s= pan><span class=3D"awspan">livre</span><span class=3D"awspan" style=3D"lett= er-spacing:3.5pt"> </span><span class=3D"awspan">de</span><span class=3D"aw= span" style=3D"letter-spacing:3.5pt"> </span><span class=3D"awspan">limita= =C3=A7=C3=B5es,</span><span class=3D"awspan" style=3D"letter-spacing:3.5pt"= > </span><span class=3D"awspan">podemos</span><span class=3D"awspan" style= =3D"letter-spacing:3.5pt"> </span><span class=3D"awspan">chegar</span><span= class=3D"awspan" style=3D"letter-spacing:3.5pt"> </span><span class=3D"aws= pan">ao</span><span class=3D"awspan" style=3D"letter-spacing:3.5pt"> </span= ><span class=3D"awspan">resultado</span><span class=3D"awspan" style=3D"let= ter-spacing:3.5pt"> </span><span class=3D"awspan">que pretendemos</span><sp= an class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D"= awspan">mediante</span><span class=3D"awspan" style=3D"letter-spacing:1.25p= t"> </span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"l= etter-spacing:1.25pt"> </span><span class=3D"awspan">emprego</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D"awspa= n">de</span><span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span>= <span class=3D"awspan">v=C3=A1rias</span><span class=3D"awspan" style=3D"le= tter-spacing:1.25pt"> </span><span class=3D"awspan">t=C3=A9cnicas </span><s= pan class=3D"awspan"> </span><span class=3D"awspan">a</span><span clas= s=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span class=3D"awspan"= >partir</span><span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </spa= n><span class=3D"awspan">das</span><span class=3D"awspan" style=3D"letter-s= pacing:1.25pt"> </span><span class=3D"awspan">quais</span><span class=3D"aw= span" style=3D"letter-spacing:1.25pt"> </span><span class=3D"awspan">o</spa= n><span class=3D"awspan" style=3D"letter-spacing:1.25pt"> </span><span clas= s=3D"awspan">investigador efetuar=C3=A1</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">a</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan= ">triangula=C3=A7=C3=A3o.</span><span class=3D"awspan" style=3D"letter-spac= ing:0.25pt"> </span><span class=3D"awspan">O</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">que</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"= awspan">deve</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> = </span><span class=3D"awspan">ficar</span><span class=3D"awspan" style=3D"l= etter-spacing:0.25pt"> </span><span class=3D"awspan">claro</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan"= >aqui</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span>= <span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-= spacing:0.25pt"> </span><span class=3D"awspan">que</span><span class=3D"aws= pan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">a</span= ><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class= =3D"awspan">triangula=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"le= tter-spacing:0.25pt"> </span><span class=3D"awspan">n=C3=A3o</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspa= n">=C3=A9</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </s= pan><span class=3D"awspan">exclusiva =C3=A0s</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan">abordagens</sp= an><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span clas= s=3D"awspan" style=3D"font-style:italic">mix</span><span class=3D"awspan">;= </span><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span = class=3D"awspan">ali=C3=A1s</span><span class=3D"awspan" style=3D"letter-sp= acing:3.2pt"> </span><span class=3D"awspan">ela</span><span class=3D"awspan= " style=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan">=C3=A9</spa= n><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span class= =3D"awspan">mais</span><span class=3D"awspan" style=3D"letter-spacing:3.2pt= "> </span><span class=3D"awspan">antiga</span><span class=3D"awspan" style= =3D"letter-spacing:3.2pt"> </span><span class=3D"awspan">nos</span><span cl= ass=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan= ">trabalhos</span><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </= span><span class=3D"awspan">com</span><span class=3D"awspan" style=3D"lette= r-spacing:3.2pt"> </span><span class=3D"awspan">uma</span><span class=3D"aw= span" style=3D"letter-spacing:3.2pt"> </span><span class=3D"awspan">s=C3=B3= </span><span class=3D"awspan" style=3D"letter-spacing:3.2pt"> </span><span = class=3D"awspan">abordagem metodol=C3=B3gica.</span><span class=3D"awspan" = style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">Em</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"= awspan">suma,</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt">= </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"lett= er-spacing:0.45pt"> </span><span class=3D"awspan">ideia</span><span class= =3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">= que</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><s= pan class=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spacin= g:0.45pt"> </span><span class=3D"awspan">passa</span><span class=3D"awspan"= style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">ao</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D= "awspan">enumerar</span><span class=3D"awspan" style=3D"letter-spacing:0.45= pt"> </span><span class=3D"awspan">as</span><span class=3D"awspan" style=3D= "letter-spacing:0.45pt"> </span><span class=3D"awspan">vantagens</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"a= wspan">das</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </= span><span class=3D"awspan">abordagens</span><span class=3D"awspan" style= =3D"font-style:italic"> mix</span><span class=3D"awspan">/quali-quantitativ= as</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><spa= n class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"letter-spac= ing:0.8pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">de</span><span = class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class=3D"awsp= an">que</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span= ><span class=3D"awspan">por</span><span class=3D"awspan" style=3D"letter-sp= acing:0.8pt"> </span><span class=3D"awspan">meio</span><span class=3D"awspa= n" style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">dela</span= ><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class= =3D"awspan">podemos</span><span class=3D"awspan" style=3D"letter-spacing:0.= 8pt"> </span><span class=3D"awspan">conseguir</span><span class=3D"awspan" = style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">o</span><span= class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class=3D"aws= pan">melhor</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </= span><span class=3D"awspan">dos</span><span class=3D"awspan" style=3D"lette= r-spacing:0.8pt"> </span><span class=3D"awspan">dois mundos,</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan= ">um</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><s= pan class=3D"awspan">produto</span><span class=3D"awspan" style=3D"letter-s= pacing:0.6pt"> </span><span class=3D"awspan">h=C3=ADbrido</span><span class= =3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">d= e</span><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span= class=3D"awspan">melhor</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.6pt"> </span><span class=3D"awspan">qualidade,</span><span class=3D"aw= span" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">ou</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class= =3D"awspan">seja,</span><span class=3D"awspan" style=3D"letter-spacing:0.6p= t"> </span><span class=3D"awspan">defende-se</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.6pt"> </span><span class=3D"awspan">a</span><span = class=3D"awspan" style=3D"letter-spacing:0.6pt"> </span><span class=3D"awsp= an">coabita=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.6pt"> </span><span class=3D"awspan">dos enfoques</span><span class=3D"= awspan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">quali= tativos</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span= ><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spac= ing:0.7pt"> </span><span class=3D"awspan">quantitativos</span><span class= =3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">e= m</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span= class=3D"awspan">fun=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"le= tter-spacing:0.7pt"> </span><span class=3D"awspan">do</span><span class=3D"= awspan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">que</= span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span cl= ass=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spacing:0.7p= t"> </span><span class=3D"awspan">afigura</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">ser</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspa= n">a</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><s= pan class=3D"awspan">melhor</span><span class=3D"awspan" style=3D"letter-sp= acing:0.7pt"> </span><span class=3D"awspan">solu=C3=A7=C3=A3o do problema a= estudar (Coutinho, 2018).</span></p><p class=3D"awdiv"><span class=3D"awsp= an">Como</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </spa= n><span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D"lette= r-spacing:1.7pt"> </span><span class=3D"awspan">espect=C3=A1vel</span><span= class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"aws= pan">-</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span>= <span class=3D"awspan">tendo</span><span class=3D"awspan" style=3D"letter-s= pacing:1.7pt"> </span><span class=3D"awspan">no=C3=A7=C3=A3o</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan= ">do</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><s= pan class=3D"awspan">ditado</span><span class=3D"awspan" style=3D"letter-sp= acing:1.7pt"> </span><span class=3D"awspan">popular</span><span class=3D"aw= span" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">de</spa= n><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><span class= =3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"= > </span><span class=3D"awspan">=E2=80=9Cningu=C3=A9m</span><span class=3D"= awspan" style=3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">=C3= =A9</span><span class=3D"awspan" style=3D"letter-spacing:1.7pt"> </span><sp= an class=3D"awspan">perfeito=E2=80=9D,</span><span class=3D"awspan" style= =3D"letter-spacing:1.7pt"> </span><span class=3D"awspan">as abordagens</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">mix</span><span class=3D"awspan" st= yle=3D"font-style:italic; letter-spacing:0.7pt"> </span><span class=3D"awsp= an">tamb=C3=A9m</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"= > </span><span class=3D"awspan">t=C3=AAm</span><span class=3D"awspan" style= =3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">os</span><span cla= ss=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan"= >seus</span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><= span class=3D"awspan">defeitos.</span><span class=3D"awspan" style=3D"lette= r-spacing:0.7pt"> </span><span class=3D"awspan">Ainda</span><span class=3D"= awspan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">que</= span><span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span cl= ass=3D"awspan">seja</span><span class=3D"awspan" style=3D"letter-spacing:0.= 7pt"> </span><span class=3D"awspan">poss=C3=ADvel,</span><span class=3D"aws= pan" style=3D"letter-spacing:0.7pt"> </span><span class=3D"awspan">e</span>= <span class=3D"awspan" style=3D"letter-spacing:0.7pt"> </span><span class= =3D"awspan">nalguns</span><span class=3D"awspan" style=3D"letter-spacing:0.= 7pt"> </span><span class=3D"awspan">casos desej=C3=A1vel</span><span class= =3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">= =E2=80=9C[=E2=80=A6],</span><span class=3D"awspan" style=3D"letter-spacing:= 0.05pt"> </span><span class=3D"awspan">tentar</span><span class=3D"awspan" = style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">conduzir</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span cla= ss=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing:0.05p= t"> </span><span class=3D"awspan">estudo</span><span class=3D"awspan" style= =3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">quantitativo</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span clas= s=3D"awspan">sofisticado</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.05pt"> </span><span class=3D"awspan">ao</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">mesmo</span><= span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class= =3D"awspan">tempo</span><span class=3D"awspan" style=3D"letter-spacing:0.05= pt"> </span><span class=3D"awspan">que qualitativo</span><span class=3D"aws= pan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">aprofun= dado</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><= span class=3D"awspan">pode</span><span class=3D"awspan" style=3D"letter-spa= cing:0.45pt"> </span><span class=3D"awspan">causar</span><span class=3D"aws= pan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">v=C3=A1= rios</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><= span class=3D"awspan">problemas=E2=80=9D</span><span class=3D"awspan" style= =3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">(Bogdan</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"= awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </s= pan><span class=3D"awspan">Biklen,</span><span class=3D"awspan" style=3D"le= tter-spacing:0.45pt"> </span><span class=3D"awspan">1994,</span><span class= =3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class=3D"awspan">= p.</span><span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><sp= an class=3D"awspan">63), e</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.6pt"> </span><span class=3D"awspan">aqui</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">assinalam= os</span><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><sp= an class=3D"awspan">pelo</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.6pt"> </span><span class=3D"awspan">menos</span><span class=3D"awspan= " style=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">quatro:</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span cl= ass=3D"awspan">i)</span><span class=3D"awspan" style=3D"letter-spacing:-0.6= pt"> </span><span class=3D"awspan">uma</span><span class=3D"awspan" style= =3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">abordagem</span><= span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span class= =3D"awspan" style=3D"font-style:italic">mix</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">pode</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.6pt"> </span><span class=3D"= awspan">ser</span><span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> <= /span><span class=3D"awspan">relativamente</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.6pt"> </span><span class=3D"awspan">mais cara</span= ><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span clas= s=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:-0.25= pt"> </span><span class=3D"awspan">uma</span><span class=3D"awspan" style= =3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">abordagem</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class= =3D"awspan">=C3=BAnica;</span><span class=3D"awspan" style=3D"letter-spacin= g:-0.25pt"> </span><span class=3D"awspan">ii)</span><span class=3D"awspan" = style=3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">uma</span><= span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class= =3D"awspan">abordagem</span><span class=3D"awspan" style=3D"letter-spacing:= -0.25pt"> </span><span class=3D"awspan" style=3D"font-style:italic">mix</sp= an><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:-0.25p= t"> </span><span class=3D"awspan">pode</span><span class=3D"awspan" style= =3D"letter-spacing:-0.25pt"> </span><span class=3D"awspan">requerer</span><= span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> </span><span class= =3D"awspan">muito </span><span class=3D"awspan"> </span><span class=3D= "awspan">mais</span><span class=3D"awspan" style=3D"letter-spacing:-0.25pt"= > </span><span class=3D"awspan">tempo do</span><span class=3D"awspan" style= =3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">que</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awsp= an">o</span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span>= <span class=3D"awspan">normal</span><span class=3D"awspan" style=3D"letter-= spacing:1.85pt"> </span><span class=3D"awspan">exigindo</span><span class= =3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">= mais</span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><= span class=3D"awspan">recurso</span><span class=3D"awspan" style=3D"letter-= spacing:1.85pt"> </span><span class=3D"awspan">[pode</span><span class=3D"a= wspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">ser</= span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span c= lass=3D"awspan">poss=C3=ADvel,</span><span class=3D"awspan" style=3D"letter= -spacing:1.85pt"> </span><span class=3D"awspan">mas</span><span class=3D"aw= span" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">n=C3= =A3o</span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><= span class=3D"awspan">recomend=C3=A1vel</span><span class=3D"awspan" style= =3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">a estudantes</spa= n><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class= =3D"awspan">com</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"= > </span><span class=3D"awspan">prazos</span><span class=3D"awspan" style= =3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">muito</span><span = class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D"awsp= an">apertados,</span><span class=3D"awspan" style=3D"letter-spacing:0.3pt">= </span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"lett= er-spacing:0.3pt"> </span><span class=3D"awspan">caso</span><span class=3D"= awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">dos</= span><span class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span cl= ass=3D"awspan">bolseiros];</span><span class=3D"awspan" style=3D"letter-spa= cing:0.3pt"> </span><span class=3D"awspan">iii)</span><span class=3D"awspan= " style=3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">o</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.3pt"> </span><span class=3D"a= wspan">investigador</span><span class=3D"awspan" style=3D"letter-spacing:0.= 3pt"> </span><span class=3D"awspan">tem</span><span class=3D"awspan" style= =3D"letter-spacing:0.3pt"> </span><span class=3D"awspan">de ser</span><span= class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span class=3D"aw= span">suficientemente</span><span class=3D"awspan" style=3D"letter-spacing:= 1.65pt"> </span><span class=3D"awspan">treinado</span><span class=3D"awspan= " style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">em</span><= span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span class= =3D"awspan">todos</span><span class=3D"awspan" style=3D"letter-spacing:1.65= pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan" style=3D= "letter-spacing:1.65pt"> </span><span class=3D"awspan">m=C3=A9todos</span><= span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span class= =3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:1.65pt"= > </span><span class=3D"awspan">modo</span><span class=3D"awspan" style=3D"= letter-spacing:1.65pt"> </span><span class=3D"awspan">a</span><span class= =3D"awspan" style=3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">= poder</span><span class=3D"awspan" style=3D"letter-spacing:1.65pt"> </span>= <span class=3D"awspan">utiliz=C3=A1-los</span><span class=3D"awspan" style= =3D"letter-spacing:1.65pt"> </span><span class=3D"awspan">forma conjunta</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span cla= ss=3D"awspan">(Cook</span><span class=3D"awspan" style=3D"letter-spacing:0.= 8pt"> </span><span class=3D"awspan">e</span><span class=3D"awspan" style=3D= "letter-spacing:0.8pt"> </span><span class=3D"awspan">Reichard,1997);</span= ><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class= =3D"awspan">iv)</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"= > </span><span class=3D"awspan">se,</span><span class=3D"awspan" style=3D"l= etter-spacing:0.8pt"> </span><span class=3D"awspan">por</span><span class= =3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">u= m</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span= class=3D"awspan">lado,</span><span class=3D"awspan" style=3D"letter-spacin= g:0.8pt"> </span><span class=3D"awspan">considera-se</span><span class=3D"a= wspan" style=3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">que</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.8pt"> </span><span cla= ss=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:0.8pt"= > </span><span class=3D"awspan">procura</span><span class=3D"awspan" style= =3D"letter-spacing:0.8pt"> </span><span class=3D"awspan">pelo melhor</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class= =3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-spacing:-0.15p= t"> </span><span class=3D"awspan">dois</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">mundos</span><sp= an class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D= "awspan">(abordagem</span><span class=3D"awspan" style=3D"letter-spacing:-0= .15pt"> </span><span class=3D"awspan" style=3D"font-style:italic">mix</span= ><span class=3D"awspan">) </span><span class=3D"awspan"> </span><span = class=3D"awspan">pode</span><span class=3D"awspan" style=3D"letter-spacing:= -0.15pt"> </span><span class=3D"awspan">nos</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">proporcionar<= /span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span= class=3D"awspan">um</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.15pt"> </span><span class=3D"awspan">produto</span><span class=3D"awspan"= style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">h=C3=ADbri= do</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><s= pan class=3D"awspan">de melhor</span><span class=3D"awspan" style=3D"letter= -spacing:0.25pt"> </span><span class=3D"awspan">qualidade,</span><span clas= s=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan"= >por</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><= span class=3D"awspan">outro</span><span class=3D"awspan" style=3D"letter-sp= acing:0.25pt"> </span><span class=3D"awspan">lado,</span><span class=3D"aws= pan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">tamb=C3= =A9m</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><= span class=3D"awspan">pode</span><span class=3D"awspan" style=3D"letter-spa= cing:0.25pt"> </span><span class=3D"awspan">originar</span><span class=3D"a= wspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">=E2= =80=9C[=E2=80=A6]</span><span class=3D"awspan" style=3D"letter-spacing:0.25= pt"> </span><span class=3D"awspan">algo</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">que</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awsp= an">n=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> = </span><span class=3D"awspan">preencha</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">os requisitos</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span cla= ss=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:1.05p= t"> </span><span class=3D"awspan">qualidade</span><span class=3D"awspan" st= yle=3D"letter-spacing:1.05pt"> </span><span class=3D"awspan">para</span><sp= an class=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span class=3D"= awspan">nenhuma</span><span class=3D"awspan" style=3D"letter-spacing:1.05pt= "> </span><span class=3D"awspan">das</span><span class=3D"awspan" style=3D"= letter-spacing:1.05pt"> </span><span class=3D"awspan">abordagens</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span class=3D"a= wspan">[=E2=80=A6],</span><span class=3D"awspan" style=3D"letter-spacing:1.= 05pt"> </span><span class=3D"awspan">tais</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.05pt"> </span><span class=3D"awspan">estudos,</span><= span class=3D"awspan" style=3D"letter-spacing:1.05pt"> </span><span class= =3D"awspan">normalmente, =E2=80=9C[=E2=80=A6]</span><span class=3D"awspan" = style=3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">acabam</span= ><span class=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class= =3D"awspan">por</span><span class=3D"awspan" style=3D"letter-spacing:3.15pt= "> </span><span class=3D"awspan">ser</span><span class=3D"awspan" style=3D"= letter-spacing:3.15pt"> </span><span class=3D"awspan">estudos</span><span c= lass=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class=3D"awsp= an">mais</span><span class=3D"awspan" style=3D"letter-spacing:3.15pt"> </sp= an><span class=3D"awspan">sobre</span><span class=3D"awspan" style=3D"lette= r-spacing:3.15pt"> </span><span class=3D"awspan">o</span><span class=3D"aws= pan" style=3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">m=C3=A9= todo</span><span class=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><= span class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter-spaci= ng:3.15pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" = style=3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">sobre</span>= <span class=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class= =3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:3.15pt">= </span><span class=3D"awspan">t=C3=B3pico</span><span class=3D"awspan" sty= le=3D"letter-spacing:3.15pt"> </span><span class=3D"awspan">que</span><span= class=3D"awspan" style=3D"letter-spacing:3.15pt"> </span><span class=3D"aw= span">o investigador queria originalmente estudar=E2=80=9D (Bogdan & Bi= klen, 1994, p. 64).</span></p><p class=3D"awdiv"><span class=3D"awspan" sty= le=3D"font-weight:bold; color:#7f7f7f">2.Conclus=C3=A3o</span></p><p class= =3D"awdiv" style=3D"padding-bottom:10pt"><a id=3D"_Hlk94002792"></a><span c= lass=3D"awspan">Kunh</span><span class=3D"awspan" style=3D"letter-spacing:-= 0.4pt"> </span><span class=3D"awspan">(1994),</span><span class=3D"awspan" = style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">o</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"a= wspan">pai</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </= span><span class=3D"awspan">do</span><span class=3D"awspan" style=3D"letter= -spacing:-0.4pt"> </span><span class=3D"awspan">conceito</span><span class= =3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan">= de</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><sp= an class=3D"awspan">paradigma,</span><span class=3D"awspan" style=3D"letter= -spacing:-0.4pt"> </span><span class=3D"awspan">acreditava</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span class=3D"awspan"= >n=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </s= pan><span class=3D"awspan">existirem</span><span class=3D"awspan" style=3D"= letter-spacing:-0.4pt"> </span><span class=3D"awspan">condi=C3=A7=C3=B5es</= span><span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> </span><span c= lass=3D"awspan">em</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 4pt"> </span><span class=3D"awspan">que dois</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">paradigmas</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span cl= ass=3D"awspan">concorrentes</span><span class=3D"awspan" style=3D"letter-sp= acing:0.65pt"> </span><span class=3D"awspan">pudessem</span><span class=3D"= awspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">coab= itar</span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><= span class=3D"awspan">abrindo</span><span class=3D"awspan" style=3D"letter-= spacing:0.65pt"> </span><span class=3D"awspan">desse</span><span class=3D"a= wspan" style=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">modo<= /span><span class=3D"awspan" style=3D"letter-spacing:0.65pt"> </span><span = class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:0.6= 5pt"> </span><span class=3D"awspan">debate</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.65pt"> </span><span class=3D"awspan">iniciado nos</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span cl= ass=3D"awspan">anos</span><span class=3D"awspan" style=3D"letter-spacing:0.= 25pt"> </span><span class=3D"awspan">50</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">do</span><span cl= ass=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspa= n">s=C3=A9culo</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"= > </span><span class=3D"awspan">XX.</span><span class=3D"awspan" style=3D"l= etter-spacing:0.25pt"> </span><span class=3D"awspan">Guba</span><span class= =3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">= e</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><spa= n class=3D"awspan">Lincoln</span><span class=3D"awspan" style=3D"letter-spa= cing:0.25pt"> </span><span class=3D"awspan">(1988),</span><span class=3D"aw= span" style=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">por</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span cl= ass=3D"awspan">sua</span><span class=3D"awspan" style=3D"letter-spacing:0.2= 5pt"> </span><span class=3D"awspan">vez,</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">provaram</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D= "awspan">com</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> = </span><span class=3D"awspan">base</span><span class=3D"awspan" style=3D"le= tter-spacing:0.25pt"> </span><span class=3D"awspan">nas quest=C3=B5es</span= ><span class=3D"awspan" style=3D"letter-spacing:3.8pt"> </span><span class= =3D"awspan">ontol=C3=B3gicas,</span><span class=3D"awspan" style=3D"letter-= spacing:3.8pt"> </span><span class=3D"awspan">epistemol=C3=B3gicas</span><s= pan class=3D"awspan" style=3D"letter-spacing:3.8pt"> </span><span class=3D"= awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:3.8pt"> </sp= an><span class=3D"awspan">metodol=C3=B3gicas</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.8pt"> </span><span class=3D"awspan">as</span><span= class=3D"awspan" style=3D"letter-spacing:3.8pt"> </span><span class=3D"aws= pan">diferentes</span><span class=3D"awspan" style=3D"letter-spacing:3.8pt"= > </span><span class=3D"awspan">axiologias</span><span class=3D"awspan" sty= le=3D"letter-spacing:3.8pt"> </span><span class=3D"awspan">no </span></p><p= class=3D"awdiv"><span style=3D"height:0pt; display:block; position:absolut= e; z-index:27"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAy= EAAARkCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJR= EFUeJzsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P/ondr7Nm= zumz026mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74PhgbsfLi5cAGHIoL+PxGQwAFy8AC6A93ktOfH= Df+RQUFBQUGgKOG/OI9UehwMAWesoYlPe2AiEix9YuzbAwa1xOAhMIr4nABgnQlb3cRPiEZsQAp= 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2RkJK2trXR1deH3+2+6vqIoFBcXk5+fz8qVK9m3bx/Jyck0NTVRVFRESUnJDUEL0vc3AC04A9zO= Xnb9fSdHPv+SMWPHMmLkCGJiYggzGdECAXp6nDRfvMSpU6c4V1t30yvRL5qm0d3dTWtr6+UHPdT= W1nLp0iXq6+tDdNGNxOfz0dnZycaNG1m7di0Oh4ODBw+ybNky/H4/TU1NvPvuuzf0RVVVli1bxq= 5duwgEAowaNYq+vj5qa2tJTU0lMzOTL7/88sawSImorq6WWVlZ37tZIQSKomAwGEKNrMfjwe/3f= 28OGCwWi4WFCxei0+k4d+4cJ06cwOv1snjxYkpKSr7XVkJCAikpKdTW1pKbm0tjYyPt7e0UFBQg= hODw4cM0Nzff1E5WVhbTp0/n4sWLNDcHC2BlZSU5OTl4vV6qqqquq1dWVsa8efMQDQ0N8v777/+= XNz1YBhOK/67+/0b36rX/FXvXmzN47GY2nnvuOXJycv4tf//fy/8AgnKjIiDLf+gAAAAASUVORK= 5CYII=3D" width=3D"77" height=3D"28" alt=3D"" style=3D"margin-left:443.3pt;= position:absolute" /></span><span class=3D"awspan">tocante</span><span cla= ss=3D"awspan" style=3D"letter-spacing:3.6pt"> </span><span class=3D"awspan"= >aos</span><span class=3D"awspan" style=3D"letter-spacing:3.6pt"> </span><s= pan class=3D"awspan">paradigmas.</span><span class=3D"awspan" style=3D"lett= er-spacing:3.6pt"> </span><span class=3D"awspan">Cook</span><span class=3D"= awspan" style=3D"letter-spacing:3.6pt"> </span><span class=3D"awspan">e</sp= an><span class=3D"awspan" style=3D"letter-spacing:3.6pt"> </span><span clas= s=3D"awspan">Reichard</span><span class=3D"awspan" style=3D"letter-spacing:= 3.6pt"> </span><span class=3D"awspan">(1997)</span><span class=3D"awspan" s= tyle=3D"letter-spacing:3.6pt"> </span><span class=3D"awspan">apesar</span><= span class=3D"awspan" style=3D"letter-spacing:3.6pt"> </span><span class=3D= "awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:3.6pt"> </= span><span class=3D"awspan">reconhecerem</span><span class=3D"awspan" style= =3D"letter-spacing:3.6pt"> </span><span class=3D"awspan">que</span><span cl= ass=3D"awspan" style=3D"letter-spacing:3.6pt"> </span><span class=3D"awspan= ">os paradigmas</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt= "> </span><span class=3D"awspan">diferem</span><span class=3D"awspan" style= =3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">nas</span><span c= lass=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awsp= an">bases</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </s= pan><span class=3D"awspan">apresentadas</span><span class=3D"awspan" style= =3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">acima,</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span class=3D"a= wspan">criticam</span><span class=3D"awspan" style=3D"letter-spacing:1.75pt= "> </span><span class=3D"awspan">asser=C3=A7=C3=A3o</span><span class=3D"aw= span" style=3D"letter-spacing:1.75pt"> </span><span class=3D"awspan">do</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.75pt"> </span><span cla= ss=3D"awspan">debate</span><span class=3D"awspan" style=3D"letter-spacing:1= .75pt"> </span><span class=3D"awspan">numa l=C3=B3gica</span><span class=3D= "awspan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">pol= arizada</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </spa= n><span class=3D"awspan">entre</span><span class=3D"awspan" style=3D"letter= -spacing:0.05pt"> </span><span class=3D"awspan">os</span><span class=3D"aws= pan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">paradig= mas</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><s= pan class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing= :0.05pt"> </span><span class=3D"awspan">os</span><span class=3D"awspan" sty= le=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">seus</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><span class=3D"a= wspan">respetivos</span><span class=3D"awspan" style=3D"letter-spacing:0.05= pt"> </span><span class=3D"awspan">m=C3=A9todos</span><span class=3D"awspan= " style=3D"letter-spacing:0.05pt"> </span><span class=3D"awspan">consideran= do</span><span class=3D"awspan" style=3D"letter-spacing:0.05pt"> </span><sp= an class=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacin= g:0.05pt"> </span><span class=3D"awspan">tal abordagem</span><span class=3D= "awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">lev= a</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><spa= n class=3D"awspan">a</span><span class=3D"awspan" style=3D"letter-spacing:0= .35pt"> </span><span class=3D"awspan">considerar</span><span class=3D"awspa= n" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">os</span>= <span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">paradigmas</span><span class=3D"awspan" style=3D"letter-spacing= :0.35pt"> </span><span class=3D"awspan">como</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">sendo</span><= span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">incompat=C3=ADveis,</span><span class=3D"awspan" style=3D"lette= r-spacing:0.35pt"> </span><span class=3D"awspan">incomunic=C3=A1veis tal</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span cla= ss=3D"awspan">como</span><span class=3D"awspan" style=3D"letter-spacing:1.3= pt"> </span><span class=3D"awspan">assumia</span><span class=3D"awspan" sty= le=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">Kuhn.</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"aw= span">Ademais,</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt">= </span><span class=3D"awspan">Patton</span><span class=3D"awspan" style=3D= "letter-spacing:1.3pt"> </span><span class=3D"awspan">(1988)</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan= ">discorda</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </s= pan><span class=3D"awspan">com</span><span class=3D"awspan" style=3D"letter= -spacing:1.3pt"> </span><span class=3D"awspan">este</span><span class=3D"aw= span" style=3D"letter-spacing:1.3pt"> </span><span class=3D"awspan">=C3=BAl= timo</span><span class=3D"awspan" style=3D"letter-spacing:1.3pt"> </span><s= pan class=3D"awspan">argumento afirmando</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">que</span><span = class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"aw= span">para</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> <= /span><span class=3D"awspan">si</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.15pt"> </span><span class=3D"awspan">a</span><span class=3D"aw= span" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">disti= n=C3=A7=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt= "> </span><span class=3D"awspan">entre</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">os</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class=3D"aws= pan">paradigmas</span><span class=3D"awspan" style=3D"letter-spacing:-0.15p= t"> </span><span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">elaborada</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> </span><span class= =3D"awspan">no</span><span class=3D"awspan" style=3D"letter-spacing:-0.15pt= "> </span><span class=3D"awspan">sentido</span><span class=3D"awspan" style= =3D"letter-spacing:-0.15pt"> </span><span class=3D"awspan">pedag=C3=B3gico = e</span><span class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span= class=3D"awspan">que</span><span class=3D"awspan" style=3D"letter-spacing:= 2.7pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" style= =3D"letter-spacing:2.7pt"> </span><span class=3D"awspan">confus=C3=A3o</spa= n><span class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span class= =3D"awspan">no</span><span class=3D"awspan" style=3D"letter-spacing:2.7pt">= </span><span class=3D"awspan">debate</span><span class=3D"awspan" style=3D= "letter-spacing:2.7pt"> </span><span class=3D"awspan">sobre</span><span cla= ss=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span class=3D"awspan"= >os</span><span class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><sp= an class=3D"awspan">paradigmas</span><span class=3D"awspan" style=3D"letter= -spacing:2.7pt"> </span><span class=3D"awspan">decorre</span><span class=3D= "awspan" style=3D"letter-spacing:2.7pt"> </span><span class=3D"awspan">do</= span><span class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span cl= ass=3D"awspan">fato</span><span class=3D"awspan" style=3D"letter-spacing:2.= 7pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" style= =3D"letter-spacing:2.7pt"> </span><span class=3D"awspan">considerar</span><= span class=3D"awspan" style=3D"letter-spacing:2.7pt"> </span><span class=3D= "awspan">os paradigmas</span><span class=3D"awspan" style=3D"letter-spacing= :1.35pt"> </span><span class=3D"awspan">concorrentes</span><span class=3D"a= wspan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">como<= /span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span = class=3D"awspan">sendo</span><span class=3D"awspan" style=3D"letter-spacing= :1.35pt"> </span><span class=3D"awspan">incompat=C3=ADveis</span><span clas= s=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan"= >levando</span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </sp= an><span class=3D"awspan">ao</span><span class=3D"awspan" style=3D"letter-s= pacing:1.35pt"> </span><span class=3D"awspan">que</span><span class=3D"awsp= an" style=3D"letter-spacing:1.35pt"> </span><span class=3D"awspan">Fetterma= n</span><span class=3D"awspan" style=3D"letter-spacing:1.35pt"> </span><spa= n class=3D"awspan">(1988) designa</span><span class=3D"awspan" style=3D"let= ter-spacing:1.45pt"> </span><span class=3D"awspan">como</span><span class= =3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">= mito</span><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><= span class=3D"awspan">na</span><span class=3D"awspan" style=3D"letter-spaci= ng:1.45pt"> </span><span class=3D"awspan">bordagem</span><span class=3D"aws= pan" style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">dos</sp= an><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span cla= ss=3D"awspan">paradigmas.</span><span class=3D"awspan" style=3D"letter-spac= ing:1.45pt"> </span><span class=3D"awspan">Embora</span><span class=3D"awsp= an" style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">se</span= ><span class=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span class= =3D"awspan">assuma</span><span class=3D"awspan" style=3D"letter-spacing:1.4= 5pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" style= =3D"letter-spacing:1.45pt"> </span><span class=3D"awspan">os</span><span cl= ass=3D"awspan" style=3D"letter-spacing:1.45pt"> </span><span class=3D"awspa= n">m=C3=A9todos est=C3=A3o</span><span class=3D"awspan" style=3D"letter-spa= cing:0.4pt"> </span><span class=3D"awspan">associados</span><span class=3D"= awspan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan">aos</= span><span class=3D"awspan" style=3D"letter-spacing:0.4pt"> </span><span cl= ass=3D"awspan">respetivos</span><span class=3D"awspan" style=3D"letter-spac= ing:0.4pt"> </span><span class=3D"awspan">paradigmas,</span><span class=3D"= awspan" style=3D"letter-spacing:0.4pt"> </span><span class=3D"awspan" style= =3D"font-style:italic">=E2=80=9C(=E2=80=A6)</span><span class=3D"awspan" st= yle=3D"font-style:italic; letter-spacing:0.4pt"> </span><span class=3D"awsp= an" style=3D"font-style:italic">we</span><span class=3D"awspan" style=3D"fo= nt-style:italic; letter-spacing:0.4pt"> </span><span class=3D"awspan" style= =3D"font-style:italic">need</span><span class=3D"awspan" style=3D"font-styl= e:italic; letter-spacing:0.4pt"> </span><span class=3D"awspan" style=3D"fon= t-style:italic">a</span><span class=3D"awspan" style=3D"font-style:italic; = letter-spacing:0.4pt"> </span><span class=3D"awspan" style=3D"font-style:it= alic">moral</span><span class=3D"awspan" style=3D"font-style:italic; letter= -spacing:0.4pt"> </span><span class=3D"awspan" style=3D"font-style:italic">= and</span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing= :0.4pt"> </span><span class=3D"awspan" style=3D"font-style:italic">methodol= ogical community</span><span class=3D"awspan" style=3D"font-style:italic; l= etter-spacing:0.45pt"> </span><span class=3D"awspan" style=3D"font-style:it= alic">that</span><span class=3D"awspan" style=3D"font-style:italic; letter-= spacing:0.45pt"> </span><span class=3D"awspan" style=3D"font-style:italic">= honors</span><span class=3D"awspan" style=3D"font-style:italic; letter-spac= ing:0.45pt"> </span><span class=3D"awspan" style=3D"font-style:italic">and<= /span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.4= 5pt"> </span><span class=3D"awspan" style=3D"font-style:italic">celebrates<= /span><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.4= 5pt"> </span><span class=3D"awspan" style=3D"font-style:italic">paradigm</s= pan><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.45p= t"> </span><span class=3D"awspan" style=3D"font-style:italic">and</span><sp= an class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.45pt"> </s= pan><span class=3D"awspan" style=3D"font-style:italic">methodological</span= ><span class=3D"awspan" style=3D"font-style:italic; letter-spacing:0.45pt">= </span><span class=3D"awspan" style=3D"font-style:italic">diversity</span>= <span class=3D"awspan" style=3D"letter-spacing:0.45pt"> </span><span class= =3D"awspan">(Denzin, 2010);</span><span class=3D"awspan" style=3D"letter-sp= acing:0.15pt"> </span><span class=3D"awspan">neste</span><span class=3D"aws= pan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">debate,= </span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span= class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:0.= 15pt"> </span><span class=3D"awspan">consenso</span><span class=3D"awspan" = style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">=C3=A9</span= ><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class= =3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"= > </span><span class=3D"awspan">que,</span><span class=3D"awspan" style=3D"= letter-spacing:0.15pt"> </span><span class=3D"awspan">num</span><span class= =3D"awspan" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">= mesmo</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span>= <span class=3D"awspan">estudo,</span><span class=3D"awspan" style=3D"letter= -spacing:0.15pt"> </span><span class=3D"awspan">o</span><span class=3D"awsp= an" style=3D"letter-spacing:0.15pt"> </span><span class=3D"awspan">investig= ador</span><span class=3D"awspan" style=3D"letter-spacing:0.15pt"> </span><= span class=3D"awspan">pode</span><span class=3D"awspan" style=3D"letter-spa= cing:0.15pt"> </span><span class=3D"awspan">optar por uma abordagem mista p= rivilegiando-se um di=C3=A1logo entre os paradigmas. Assim,</span></p><p cl= ass=3D"awdiv"><span class=3D"awspan">The</span><span class=3D"awspan" style= =3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">dialog</span><span= class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"aws= pan">is</span><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span= ><span class=3D"awspan">not</span><span class=3D"awspan" style=3D"letter-sp= acing:0.2pt"> </span><span class=3D"awspan">to</span><span class=3D"awspan"= style=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">determine</s= pan><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span cla= ss=3D"awspan">which</span><span class=3D"awspan" style=3D"letter-spacing:0.= 2pt"> </span><span class=3D"awspan">paradigm</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">is</span><span= class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"aws= pan">finally,</span><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> = </span><span class=3D"awspan">to</span><span class=3D"awspan" style=3D"lett= er-spacing:0.2pt"> </span><span class=3D"awspan">win</span><span class=3D"a= wspan" style=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">out.</= span><span class=3D"awspan" style=3D"letter-spacing:0.2pt"> </span><span cl= ass=3D"awspan">Rather,</span><span class=3D"awspan" style=3D"letter-spacing= :0.2pt"> </span><span class=3D"awspan">it</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.2pt"> </span><span class=3D"awspan">is to</span><span= class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"aw= span">take</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </= span><span class=3D"awspan">us</span><span class=3D"awspan" style=3D"letter= -spacing:0.95pt"> </span><span class=3D"awspan">to</span><span class=3D"aws= pan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">another= </span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span= class=3D"awspan">level</span><span class=3D"awspan" style=3D"letter-spacin= g:0.95pt"> </span><span class=3D"awspan">at</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">which</span><s= pan class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D= "awspan">all</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> = </span><span class=3D"awspan">these</span><span class=3D"awspan" style=3D"l= etter-spacing:0.95pt"> </span><span class=3D"awspan">paradigms</span><span = class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"aws= pan">will</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </s= pan><span class=3D"awspan">be</span><span class=3D"awspan" style=3D"letter-= spacing:0.95pt"> </span><span class=3D"awspan">replaced</span><span class= =3D"awspan" style=3D"letter-spacing:0.95pt"> </span><span class=3D"awspan">= by</span><span class=3D"awspan" style=3D"letter-spacing:0.95pt"> </span><sp= an class=3D"awspan">yet another</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.5pt"> </span><span class=3D"awspan">paradigm</span><span class= =3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">= whose</span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span>= <span class=3D"awspan">outlines</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.5pt"> </span><span class=3D"awspan">we</span><span class=3D"aw= span" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">can</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span cl= ass=3D"awspan">see</span><span class=3D"awspan" style=3D"letter-spacing:-0.= 5pt"> </span><span class=3D"awspan">now</span><span class=3D"awspan" style= =3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">but</span><span c= lass=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awsp= an">dimly,</span><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </= span><span class=3D"awspan">if</span><span class=3D"awspan" style=3D"letter= -spacing:-0.5pt"> </span><span class=3D"awspan">at</span><span class=3D"aws= pan" style=3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">all.</s= pan><span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> </span><span cl= ass=3D"awspan">It</span><span class=3D"awspan" style=3D"letter-spacing:-0.5= pt"> </span><span class=3D"awspan">will</span><span class=3D"awspan" style= =3D"letter-spacing:-0.5pt"> </span><span class=3D"awspan">simply be</span><= span class=3D"awspan" style=3D"letter-spacing:1pt"> </span><span class=3D"a= wspan">more</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </sp= an><span class=3D"awspan">informed</span><span class=3D"awspan" style=3D"le= tter-spacing:1pt"> </span><span class=3D"awspan">and</span><span class=3D"a= wspan" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan">sophisti= cated</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </span><sp= an class=3D"awspan">than</span><span class=3D"awspan" style=3D"letter-spaci= ng:1pt"> </span><span class=3D"awspan">those</span><span class=3D"awspan" s= tyle=3D"letter-spacing:1pt"> </span><span class=3D"awspan">we</span><span c= lass=3D"awspan" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan"= >are</span><span class=3D"awspan" style=3D"letter-spacing:1pt"> </span><spa= n class=3D"awspan">now</span><span class=3D"awspan" style=3D"letter-spacing= :1pt"> </span><span class=3D"awspan">entertaining</span><span class=3D"awsp= an" style=3D"letter-spacing:1pt"> </span><span class=3D"awspan">(Guba, 1990= , p. 27).</span></p><p class=3D"awdiv"><span class=3D"awspan">Ali=C3=A1s,</= span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span c= lass=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-spacing:-0.3= pt"> </span><span class=3D"awspan">debate</span><span class=3D"awspan" styl= e=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">sobre</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"a= wspan">a</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </sp= an><span class=3D"awspan">primazia</span><span class=3D"awspan" style=3D"le= tter-spacing:-0.3pt"> </span><span class=3D"awspan">=C3=A9</span><span clas= s=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan"= >irrelevante,</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt">= </span><span class=3D"awspan">=C3=A9</span><span class=3D"awspan" style=3D= "letter-spacing:-0.3pt"> </span><span class=3D"awspan">tempo</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspa= n">de</span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span>= <span class=3D"awspan">parar</span><span class=3D"awspan" style=3D"letter-s= pacing:-0.3pt"> </span><span class=3D"awspan">de</span><span class=3D"awspa= n" style=3D"letter-spacing:-0.3pt"> </span><span class=3D"awspan">construir= </span><span class=3D"awspan" style=3D"letter-spacing:-0.3pt"> </span><span= class=3D"awspan">paredes</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.3pt"> </span><span class=3D"awspan">entre m=C3=A9todos, =C3=A9 tempo= de come=C3=A7ar a construir pontes (Cook & Reichard, 1997, p. 52).</sp= an><span class=3D"awspan">   </span></p><p class=3D"awdiv"><span = class=3D"awspan">Pese</span><span class=3D"awspan" style=3D"letter-spacing:= 0.35pt"> </span><span class=3D"awspan">embora</span><span class=3D"awspan" = style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">a</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"a= wspan">quest=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:0.= 35pt"> </span><span class=3D"awspan">dos</span><span class=3D"awspan" style= =3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">paradigmas</span>= <span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"= > </span><span class=3D"awspan">afigure</span><span class=3D"awspan" style= =3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">importante</span>= <span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">-</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt">= </span><span class=3D"awspan">influenciando</span><span class=3D"awspan" s= tyle=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">em</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"a= wspan">muitos casos,</span><span class=3D"awspan" style=3D"letter-spacing:0= .5pt"> </span><span class=3D"awspan">na</span><span class=3D"awspan" style= =3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">escolha</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"aw= span">dos</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </sp= an><span class=3D"awspan">m=C3=A9todos;</span><span class=3D"awspan" style= =3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">operacionalmente,<= /span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span c= lass=3D"awspan">as</span><span class=3D"awspan" style=3D"letter-spacing:0.5= pt"> </span><span class=3D"awspan">vis=C3=B5es</span><span class=3D"awspan"= style=3D"letter-spacing:0.5pt"> </span><span class=3D"awspan">do</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"a= wspan">mundo,</span><span class=3D"awspan" style=3D"letter-spacing:0.5pt"> = </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"lette= r-spacing:0.5pt"> </span><span class=3D"awspan">experi=C3=AAncia,</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> </span><span class=3D"a= wspan">o treino,</span><span class=3D"awspan" style=3D"letter-spacing:1.85p= t"> </span><span class=3D"awspan">a</span><span class=3D"awspan" style=3D"l= etter-spacing:1.85pt"> </span><span class=3D"awspan">=C3=A1rea</span><span = class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"aws= pan">de</span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </spa= n><span class=3D"awspan">especializa=C3=A7=C3=A3o,</span><span class=3D"aws= pan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">o</span= ><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span class= =3D"awspan">p=C3=BAblico</span><span class=3D"awspan" style=3D"letter-spaci= ng:1.85pt"> </span><span class=3D"awspan">a</span><span class=3D"awspan" st= yle=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">que</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"a= wspan">se</span><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </s= pan><span class=3D"awspan">destina</span><span class=3D"awspan" style=3D"le= tter-spacing:1.85pt"> </span><span class=3D"awspan">e</span><span class=3D"= awspan" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">o</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span cl= ass=3D"awspan">p=C3=BAblico</span><span class=3D"awspan" style=3D"letter-sp= acing:1.85pt"> </span><span class=3D"awspan">que</span><span class=3D"awspa= n" style=3D"letter-spacing:1.85pt"> </span><span class=3D"awspan">avalia</s= pan><span class=3D"awspan" style=3D"letter-spacing:1.85pt"> </span><span cl= ass=3D"awspan">o conhecimento</span><span class=3D"awspan" style=3D"letter-= spacing:3.05pt"> </span><span class=3D"awspan">produzido</span><span class= =3D"awspan" style=3D"letter-spacing:3.05pt"> </span><span class=3D"awspan">= s=C3=A3o</span><span class=3D"awspan" style=3D"letter-spacing:3.05pt"> </sp= an><span class=3D"awspan">elementos </span><span class=3D"awspan"> </s= pan><span class=3D"awspan">que</span><span class=3D"awspan" style=3D"letter= -spacing:3.05pt"> </span><span class=3D"awspan">o</span><span class=3D"awsp= an" style=3D"letter-spacing:3.05pt"> </span><span class=3D"awspan">investig= ador</span><span class=3D"awspan" style=3D"letter-spacing:3.05pt"> </span><= span class=3D"awspan">deve</span><span class=3D"awspan" style=3D"letter-spa= cing:3.05pt"> </span><span class=3D"awspan">avaliar</span><span class=3D"aw= span" style=3D"letter-spacing:3.05pt"> </span><span class=3D"awspan">de</sp= an><span class=3D"awspan" style=3D"letter-spacing:3.05pt"> </span><span cla= ss=3D"awspan">forma criteriosa</span><span class=3D"awspan" style=3D"letter= -spacing:4.3pt"> </span><span class=3D"awspan">e,</span><span class=3D"awsp= an" style=3D"letter-spacing:4.3pt"> </span><span class=3D"awspan">mediante<= /span><span class=3D"awspan" style=3D"letter-spacing:4.3pt"> </span><span c= lass=3D"awspan">esta</span><span class=3D"awspan" style=3D"letter-spacing:4= .3pt"> </span><span class=3D"awspan">avalia=C3=A7=C3=A3o,</span><span class= =3D"awspan" style=3D"letter-spacing:4.3pt"> </span><span class=3D"awspan">d= ecidir</span><span class=3D"awspan" style=3D"letter-spacing:4.3pt"> </span>= <span class=3D"awspan">se</span><span class=3D"awspan" style=3D"letter-spac= ing:4.3pt"> </span><span class=3D"awspan">opta</span><span class=3D"awspan"= style=3D"letter-spacing:4.3pt"> </span><span class=3D"awspan">por</span><s= pan class=3D"awspan" style=3D"letter-spacing:4.3pt"> </span><span class=3D"= awspan">um</span><span class=3D"awspan" style=3D"letter-spacing:4.3pt"> </s= pan><span class=3D"awspan">estudo</span><span class=3D"awspan" style=3D"let= ter-spacing:4.3pt"> </span><span class=3D"awspan">qualitativo, quantitativo= </span><span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span= class=3D"awspan">ou</span><span class=3D"awspan" style=3D"letter-spacing:0= .25pt"> </span><span class=3D"awspan">ainda</span><span class=3D"awspan" st= yle=3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">se</span><span= class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"aw= span">prefere</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt">= </span><span class=3D"awspan">uma</span><span class=3D"awspan" style=3D"le= tter-spacing:0.25pt"> </span><span class=3D"awspan">jun=C3=A7=C3=A3o</span>= <span class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class= =3D"awspan">dos</span><span class=3D"awspan" style=3D"letter-spacing:0.25pt= "> </span><span class=3D"awspan">dois</span><span class=3D"awspan" style=3D= "letter-spacing:0.25pt"> </span><span class=3D"awspan">lembrando,</span><sp= an class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"= awspan">por=C3=A9m,</span><span class=3D"awspan" style=3D"letter-spacing:0.= 25pt"> </span><span class=3D"awspan">que</span><span class=3D"awspan" style= =3D"letter-spacing:0.25pt"> </span><span class=3D"awspan">este</span><span = class=3D"awspan" style=3D"letter-spacing:0.25pt"> </span><span class=3D"aws= pan">requer mais</span><span class=3D"awspan" style=3D"letter-spacing:1.55p= t"> </span><span class=3D"awspan">treino,</span><span class=3D"awspan" styl= e=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">recursos</span><= span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class= =3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt">= </span><span class=3D"awspan">conhecimento</span><span class=3D"awspan" st= yle=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">sobre</span><s= pan class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D= "awspan">todos</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"= > </span><span class=3D"awspan">os</span><span class=3D"awspan" style=3D"le= tter-spacing:1.55pt"> </span><span class=3D"awspan">m=C3=A9todos</span><spa= n class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"a= wspan">a</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </sp= an><span class=3D"awspan">utilizar</span><span class=3D"awspan" style=3D"le= tter-spacing:1.55pt"> </span><span class=3D"awspan">de</span><span class=3D= "awspan" style=3D"letter-spacing:1.55pt"> </span><span class=3D"awspan">for= ma</span><span class=3D"awspan" style=3D"letter-spacing:1.55pt"> </span><sp= an class=3D"awspan">n=C3=A3o tornar</span><span class=3D"awspan" style=3D"l= etter-spacing:0.9pt"> </span><span class=3D"awspan">o</span><span class=3D"= awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">seu</= span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span cl= ass=3D"awspan">estudo</span><span class=3D"awspan" style=3D"letter-spacing:= 0.9pt"> </span><span class=3D"awspan">num</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">estudo</span><spa= n class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"aw= span">sobre</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </= span><span class=3D"awspan">o</span><span class=3D"awspan" style=3D"letter-= spacing:0.9pt"> </span><span class=3D"awspan">m=C3=A9todo</span><span class= =3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">(= Bogdan</span><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span>= <span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spaci= ng:0.9pt"> </span><span class=3D"awspan">Biklen,</span><span class=3D"awspa= n" style=3D"letter-spacing:0.9pt"> </span><span class=3D"awspan">1994).</sp= an><span class=3D"awspan" style=3D"letter-spacing:0.9pt"> </span><span clas= s=3D"awspan">Portanto,</span><span class=3D"awspan" style=3D"letter-spacing= :0.9pt"> </span><span class=3D"awspan">do nosso</span><span class=3D"awspan= " style=3D"letter-spacing:-0.65pt"> </span><span class=3D"awspan">ponto</sp= an><span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </span><span cl= ass=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:-0.6= 5pt"> </span><span class=3D"awspan">vista,</span><span class=3D"awspan" sty= le=3D"letter-spacing:-0.65pt"> </span><span class=3D"awspan">independenteme= nte</span><span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </span><= span class=3D"awspan">das</span><span class=3D"awspan" style=3D"letter-spac= ing:-0.65pt"> </span><span class=3D"awspan">op=C3=A7=C3=B5es</span><span cl= ass=3D"awspan" style=3D"letter-spacing:-0.65pt"> </span><span class=3D"awsp= an">em</span><span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </spa= n><span class=3D"awspan">termos</span><span class=3D"awspan" style=3D"lette= r-spacing:-0.65pt"> </span><span class=3D"awspan">de</span><span class=3D"a= wspan" style=3D"letter-spacing:-0.65pt"> </span><span class=3D"awspan">para= digmas</span><span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> </spa= n><span class=3D"awspan">e</span><span class=3D"awspan" style=3D"letter-spa= cing:-0.65pt"> </span><span class=3D"awspan">m=C3=A9todos, o mais important= e =C3=A9 que essas decis=C3=B5es sejam bem informadas.</span></p><p class= =3D"awdiv"><span class=3D"awspan" style=3D"font-weight:bold; color:#767171"= >3.Conflicto de intereses</span></p><p class=3D"awdiv"><span class=3D"awspa= n">O autor declara que n=C3=A3o h=C3=A1 conflito de interesse em rela=C3=A7= =C3=A3o ao artigo apresentado.</span></p><p class=3D"awdiv"><span class=3D"= awspan" style=3D"font-weight:bold; color:#767171">4.Refer=C3=AAncias biblio= gr=C3=A1fica</span></p><p class=3D"awdiv" style=3D"padding-bottom:10pt"><sp= an class=3D"awspan">Bogdan, R., & Biklen, S. (1994). </span><span class= =3D"awspan" style=3D"font-style:italic">Investiga=C3=A7=C3=A3o Qualitativa = em Educa=C3=A7=C3=A3o - Uma introdu=C3=A7=C3=A3o =C3=A0 teoria e aos m=C3= =A9todos.</span><span class=3D"awspan"> Porto: Porto Editora.</span></p><p = class=3D"awdiv"><span style=3D"height:0pt; display:block; position:absolute= ; z-index:29"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyE= AAARkCAYAAABl3BuiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJRE= FUeJzsvWd35FaaJvjce4FwjCAZ9MxMmvRW3qV8SV1SSWqV66qurp7unuk52zu7833P/ondr7Nmz= umz026mq8t2l0xVyZRKJVfyUkpKx8xkZpJJ74PhgbsfLi5cAGHIoL+PxGQwAFy8AC6A93ktOfHD= f+RQUFBQUGgKOG/OI9UehwMAWesoYlPe2AiEix9YuzbAwa1xOAhMIr4nABgnQlb3cRPiEZsQApN= zGNwEYQxaLAItogOMwpQrEgprq0CYDchvi2GLsJatHbivKQfEuQhc0b3P5oLUMa2knO5zb8tbr2= wNzpWtwkadZ8B0pjIHCLj4qXFeqs4LFwi3xoPcgICDu2a+dWTWepD7t+aw+M4E5xycc1CfXGt9/= hAi5DDlfkKO1/Odfdt773dQAhACgDqTr8q97R47/BRWbt+sZ221Md1/ExIsHQcHD7xBaR07BCqO= 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D., & Reic= hardt, C. S. (1997). </span><span class=3D"awspan" style=3D"font-style:ital= ic">M=C3=A9todos Cualitativos y cuantitativos en investigaci=C3=B3n evaluat= iva</span><span class=3D"awspan"> (3=C2=AA ed.). Madrid: Morata.</span></p>= <p class=3D"awdiv"><span class=3D"awspan">Coutinho, C. P. (2018). </span><s= pan class=3D"awspan" style=3D"font-style:italic">Metodologia de investiga= =C3=A7=C3=A3o em ci=C3=AAncias sociais e humanas: teoria e pr=C3=A1tica.</s= pan><span class=3D"awspan"> Coimbra: Almedina.</span></p><p class=3D"awdiv"= ><span class=3D"awspan">Creswell, J. W. (1994). </span><span class=3D"awspa= n" style=3D"font-style:italic">Research design: Qualitatitve and quantitati= ve approaches.</span><span class=3D"awspan"> California: Sage Publications,= Inc.</span></p><p class=3D"awdiv"><span class=3D"awspan">Denzin, N. K. (20= 10). Moments, Mixed Methods, and Paradigm Dialogs. </span><span class=3D"aw= span" style=3D"font-style:italic">Qualitative Inquiry, 16</span><span class= =3D"awspan">(6), 419 - 427. doi:0.1177/1077800410364608</span></p><p class= =3D"awdiv"><span class=3D"awspan">Fetterman, D. M. (1988). Ethnographic Edu= cational Evaluation. Em D. M. Fetterman, </span><span class=3D"awspan" styl= e=3D"font-style:italic">Qualitative approaches to evaluation in education: = The Silent Scientific Revolution</span><span class=3D"awspan"> (pp. 41 - 67= ). New York: Preager Publishers.</span></p><p class=3D"awdiv"><span class= =3D"awspan">Guba, E. G. (1990). The Alternative Paradigm Dialog. Em E. G. G= uba, </span><span class=3D"awspan" style=3D"font-style:italic">The paradigm= dialog</span><span class=3D"awspan"> (pp. 9 - 17). California: Sage.</span= ></p><p class=3D"awdiv"><span class=3D"awspan">Guba, E. G., & Lincoln, = Y. S. (1988). Do inquiry Paradms imply Inquiry Methodologies? Em D. M. Fett= erman, </span><span class=3D"awspan" style=3D"font-style:italic">Qualitativ= e Approaches To Evaluation In Education: The Silent Scientific Revolution</= span><span class=3D"awspan"> (pp. 90 - 115). New York: Praeger Publishers.<= /span></p><p class=3D"awdiv"><span class=3D"awspan">Kuhn, T. S. (1994). </s= pan><span class=3D"awspan" style=3D"font-style:italic">A Estrutura das Revo= lu=C3=A7=C3=B5es Cient=C3=ADficas.</span><span class=3D"awspan"> S=C3=A3o P= aulo: Editora Perspectiva.</span></p><p class=3D"awdiv"><span class=3D"awsp= an">Patton, M. Q. (1988). Paradigm and Pragmatism. Em D. M. Fetterman, </sp= an><span class=3D"awspan" style=3D"font-style:italic">Qualitative Approache= s To Evaluation In Education: The Silent Scientific Revolution</span><span = class=3D"awspan"> (pp. 115 - 137). New York: Praeger Publishers.</span></p>= <p class=3D"awdiv" style=3D"padding-bottom:10pt"><span class=3D"awspan">Pat= ton, M. Q. (1990). </span><span class=3D"awspan" style=3D"font-style:italic= ">Qualitative Evaluation And Research Methods</span><span class=3D"awspan">= (2=C2=AA ed.). 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"> </span><span class=3D"awspan">exclusiva</span><span class=3D"awspan" sty= le=3D"letter-spacing:4.35pt"> </span><span class=3D"awspan">responsabilidad= </span><span class=3D"awspan" style=3D"letter-spacing:4.35pt"> </span><span= class=3D"awspan">de</span><span class=3D"awspan" style=3D"letter-spacing:4= .35pt"> </span><span class=3D"awspan">los</span><span class=3D"awspan" styl= e=3D"letter-spacing:4.35pt"> </span><span class=3D"awspan">autores</span><s= pan class=3D"awspan" style=3D"letter-spacing:4.35pt"> </span><span class=3D= "awspan">y</span><span class=3D"awspan" style=3D"letter-spacing:4.35pt"> </= span><span class=3D"awspan">no necesariamente reflejan el pensamiento de la= </span><span class=3D"awspan" style=3D"font-weight:bold">Revista Ciencia &= amp; Turismo.</span></p><p class=3D"awdiv"><span class=3D"awspan">El</span>= <span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">art=C3=ADculo</span><span class=3D"awspan" style=3D"letter-spac= ing:0.35pt"> </span><span class=3D"awspan">queda</span><span class=3D"awspa= n" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">en</span>= <span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class= =3D"awspan">propiedad</span><span class=3D"awspan" style=3D"letter-spacing:= 0.35pt"> </span><span class=3D"awspan">de</span><span class=3D"awspan" styl= e=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">la</span><span c= lass=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awsp= an">revista</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> <= /span><span class=3D"awspan">y,</span><span class=3D"awspan" style=3D"lette= r-spacing:0.35pt"> </span><span class=3D"awspan">por</span><span class=3D"a= wspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">tanto= ,</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </span><spa= n class=3D"awspan">su</span><span class=3D"awspan" style=3D"letter-spacing:= 0.35pt"> </span><span class=3D"awspan">publicaci=C3=B3n</span><span class= =3D"awspan" style=3D"letter-spacing:0.35pt"> </span><span class=3D"awspan">= parcial</span><span class=3D"awspan" style=3D"letter-spacing:0.35pt"> </spa= n><span class=3D"awspan">y/o</span><span class=3D"awspan" style=3D"letter-s= pacing:0.35pt"> </span><span class=3D"awspan">total en</span><span class=3D= "awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">otr= o</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><spa= n class=3D"awspan">medio</span><span class=3D"awspan" style=3D"letter-spaci= ng:-0.1pt"> </span><span class=3D"awspan">tiene</span><span class=3D"awspan= " style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">que</span>= <span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span class= =3D"awspan">ser</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt= "> </span><span class=3D"awspan">autorizado</span><span class=3D"awspan" st= yle=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">por</span><spa= n class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"a= wspan">el</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </s= pan><span class=3D"awspan">director</span><span class=3D"awspan" style=3D"l= etter-spacing:-0.1pt"> </span><span class=3D"awspan">de</span><span class= =3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><span class=3D"awspan">= la</span><span class=3D"awspan" style=3D"letter-spacing:-0.1pt"> </span><sp= an class=3D"awspan" style=3D"font-weight:bold">Revista</span><span class=3D= "awspan" style=3D"font-weight:bold; letter-spacing:-0.1pt"> </span><span cl= ass=3D"awspan" style=3D"font-weight:bold">Ciencia</span><span class=3D"awsp= an" style=3D"font-weight:bold; letter-spacing:-0.1pt"> </span><span class= =3D"awspan" style=3D"font-weight:bold">&</span><span class=3D"awspan" s= tyle=3D"font-weight:bold; letter-spacing:-0.1pt"> </span><span class=3D"aws= pan" 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