Journal ArticleDOI
Can I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern‐based qualitative analytic approaches
Virginia Braun,Victoria Clarke +1 more
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Thematic analysis methods, including the reflexive approach as mentioned in this paper, are widely used in counselling and psychotherapy research, as are other approaches that seek to develop "patterns" (themes, categories) across cases.Abstract:
Thematic analysis methods, including the reflexive approach we have developed, are widely used in counselling and psychotherapy research, as are other approaches that seek to develop ‘patterns’ (themes, categories) across cases. Without a thorough grounding in the conceptual foundations of a wide variety of across‐case analytic approaches, and qualitative research more broadly—something rarely offered in counselling training—it can be difficult to understand how these differ, where they overlap, and which might be appropriate for a particular research project. Our aim in this paper is to support researchers in counselling and psychotherapy to select an appropriate across‐case approach for their research, and to justify their choice, by discussing conceptual and procedural differences and similarities between reflexive thematic analysis (TA) and four other across‐case approaches. Three of these are also widely used in counselling and psychotherapy research—qualitative content analysis, interpretative phenomenological analysis and grounded theory. The fourth—discourse analysis—is less widely used but importantly exemplifies the critical qualitative research tradition. We contextualise our comparative approach by highlighting the diversity within TA. TA is best thought of as a spectrum of methods—from types that prioritise coding accuracy and reliability to reflexive approaches like ours that emphasise the inescapable subjectivity of data interpretation. Although reflexive TA provides the point of comparison for our discussion of other across‐case approaches, our aim is not to promote reflexive TA as ‘best’. Rather, we encourage the knowing selection and use of analytic methods and methodologies in counselling and psychotherapy research.read more
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Rohaya Mohd-Nor,Ashemi Baba Ali +1 more
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The Use of Close Friends on Instagram, Help-Seeking Willingness, and Suicidality Among Hong Kong Youth: Exploratory Sequential Mixed Methods Study
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References
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Journal ArticleDOI
Using thematic analysis in psychology
Virginia Braun,Victoria Clarke +1 more
TL;DR: Thematic analysis is a poorly demarcated, rarely acknowledged, yet widely used qualitative analytic method within psychology as mentioned in this paper, and it offers an accessible and theoretically flexible approach to analysing qualitative data.
Journal ArticleDOI
Three Approaches to Qualitative Content Analysis
Hsiu-Fang Hsieh,Sarah E. Shannon +1 more
TL;DR: The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
Journal ArticleDOI
Thematic Analysis: Striving to Meet the Trustworthiness Criteria
TL;DR: The process of conducting a thematic analysis is illustrated through the presentation of an auditable decision trail, guiding interpreting and representing textual data and exploring issues of rigor and trustworthiness.
Book ChapterDOI
Qualitative data analysis for applied policy research
Jane Ritchie,Liz Spencer +1 more
TL;DR: The last two decades have seen a notable growth in the use of qualitative methods for applied social policy research as discussed by the authors, which is underpinned by the persistent requirement in social policy fields to understand complex behaviours, needs, systems and cultures.
Journal ArticleDOI
Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study
TL;DR: It is concluded that in spite of many similarities between the approaches, including cutting across data and searching for patterns and themes, their main difference lies in the opportunity for quantification of data.