<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2184-7770</journal-id>
<journal-title><![CDATA[New Trends in Qualitative Research]]></journal-title>
<abbrev-journal-title><![CDATA[NTQR]]></abbrev-journal-title>
<issn>2184-7770</issn>
<publisher>
<publisher-name><![CDATA[Ludomedia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2184-77702022000400003</article-id>
<article-id pub-id-type="doi">10.36367/ntqr.13.2022.e639</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Análise combinada de texto e imagem utilizando software na pesquisa qualitativa: Revisão de escopo]]></article-title>
<article-title xml:lang="en"><![CDATA[Combined text and image analysis using software in qualitative research: Scoping review]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fornari]]></surname>
<given-names><![CDATA[Lucimara Fabiana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fonseca]]></surname>
<given-names><![CDATA[Rosa Maria Godoy Serpa da]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade de São Paulo Escola de Enfermagem ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>30</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>09</month>
<year>2022</year>
</pub-date>
<volume>13</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S2184-77702022000400003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S2184-77702022000400003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S2184-77702022000400003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo: Introdução: O ser humano expressa suas emoções por meio de diferentes tipos de linguagem. A combinação entre a linguagem verbal e não-verbal possibilita ampliar a captação dos sentidos e profundar a compreensão a respeito de um determinado fenômeno social. O uso de software visa apoiar a sistematização e otimização do processo de análise dos dados combinados; Objetivos: Mapear a produção científica sobre o uso de software para análise combinada de dados textuais e visuais em pesquisas qualitativas; Métodos: Revisão de escopo realizada em quatro bases de dados internacionais (Scopus, EMBASE, MEDLINE e Web of Science), no período entre setembro de 2021 e janeiro de 2022. Para a coleta de dados foi desenvolvido um instrumento semiestruturado. O processo de tratamento e análise dos dados contou com o apoio do aplicativo Rayyan QCR e do software de análise qualitativa webQDA; Resultados: A amostra final da revisão foi constituída por 11 estudos publicados entre 2014 e 2022, principalmente, na área da saúde. As publicações envolveram três tipos de software de análise qualitativa: NVivo, Atlas.ti e MaxQda. A fotografia foi a fonte mais utilizada para a produção dos dados visuais, enquanto os grupos focais e de discussão se destacaram para a produção dos dados textuais. A análise temática foi utilizada na maior parte das publicações e os softwares apoiaram essencialmente a etapa de codificação dos dados de maneira combinada; Conclusões: A análise combinada de dados textuais e visuais realizada com o apoio de software se mostrou como um percurso metodológico ainda em ascensão, dado que a revisão identificou somente 11 estudos publicados nos últimos oito anos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Introduction: Human beings express their emotions through different types of language. The combination of verbal and non-verbal language makes it possible to broaden the capture of the senses and deepen the understanding of a certain social phenomenon. The use of software aims to support the systematization and optimization of the combined data analysis process; Goals: To map scientific production on the use of software for combined analysis of textual and visual data in qualitative research; Methods: Scope review carried out in four international databases (Scopus, EMBASE, MEDLINE and Web of Science), between September 2021 and January 2022. A semi-structured instrument was developed for data collection. The data processing and analysis process was supported by the Rayyan QCR application and the webQDA qualitative analysis software; Results: The final review sample consisted of 11 studies published between 2014 and 2022, mainly in the health area. The publications involved three types of qualitative analysis software: NVivo, Atlas.ti and MaxQda. Photography was the most used source to produce visual data, while focus and discussion groups stood out to produce textual data. Thematic analysis was used in most publications and the software essentially supported the data coding step in a combined way; Conclusions: The combined analysis of textual and visual data carried out with the support of software proved to be a methodological path still on the rise, given that the review identified only 11 studies published in the last eight years.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Revisão]]></kwd>
<kwd lng="pt"><![CDATA[Pesquisa qualitativa]]></kwd>
<kwd lng="pt"><![CDATA[Análise de dados]]></kwd>
<kwd lng="pt"><![CDATA[Software.]]></kwd>
<kwd lng="en"><![CDATA[Review]]></kwd>
<kwd lng="en"><![CDATA[Qualitative research]]></kwd>
<kwd lng="en"><![CDATA[Data analysis]]></kwd>
<kwd lng="en"><![CDATA[Software.]]></kwd>
</kwd-group>
</article-meta>
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