Global Social Work - Cutting Edge Issues and Critical Reflections 2020
DOI: 10.5772/intechopen.89464
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Thematic Analysis in Social Work: A Case Study

Abstract: The article aims to provide a step-by-step description of how thematic analysis was applied in a study examining why men choose to undertake social work as an area of study. Participants in the study came from the University of Concepción in Chile and the University of Quebec in Abitibi-Témiscamingue in Canada. The six phases of the thematic analysis are described in detail to provide students and novice social work researchers with a guide to this method of analysis. Thematic analysis offers a flexible, yet r… Show more

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Cited by 49 publications
(47 citation statements)
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References 48 publications
(39 reference statements)
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“…A theme was composed of coded data grouped together according to their similarity [ 46 , 47 ]. In the context of our study, a theme would have to be relevant to our research topic of exploring participants’ perceptions and experiences of using the novel smartphone app.…”
Section: Methodsmentioning
confidence: 99%
“…A theme was composed of coded data grouped together according to their similarity [ 46 , 47 ]. In the context of our study, a theme would have to be relevant to our research topic of exploring participants’ perceptions and experiences of using the novel smartphone app.…”
Section: Methodsmentioning
confidence: 99%
“…The qualitative data from the focus group transcripts and questionnaire open‐response questions were analyzed thematically using a combination of deductive and inductive methods (Fereday & Muir‐Cochrane, 2006; Labra et al., 2019). The a priori category of “wished for improvement” was applied to all qualitative data.…”
Section: Methodsmentioning
confidence: 99%
“…Thematic data analysis is defined as "a method for identifying, analyzing, and reporting patterns (themes) within data; a way of making meaning out of what is going on in the data" (Braun & Clarke, 2006, p. 1). Qualitative researchers generally agree that there are six main phases involved in thematic data analysis: (a) familiarization with the data, (b) generation of codes, (c) generation of initial themes, (d) reviewing initial themes, (e) defining and naming themes, (f) writing the research report (Cormack et al, 2018;Labra et al, 2020;Walters, 2016;Braun & Clarke, 2006;Javadi & Zarea, 2016). As part of the analysis procedure (phase c), I generated initial themes (see Table 1), followed by phases d-f, as explicated in succeeding sections of the paper.…”
Section: Methodsmentioning
confidence: 99%