Can I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern‐based qualitative analytic approaches
TL;DR: 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.
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29 Jun 2021
TL;DR: In this article, the authors provide guidance on taking a pragmatic approach to analysis, which entails strategically combining and borrowing from established qualitative approaches to meet a study's needs, typically with guidance from an existing framework and with explicit research and practice change goals.
Abstract: Qualitative methods are critical for implementation science as they generate opportunities to examine complexity and include a diversity of perspectives. However, it can be a challenge to identify the approach that will provide the best fit for achieving a given set of practice-driven research needs. After all, implementation scientists must find a balance between speed and rigor, reliance on existing frameworks and new discoveries, and inclusion of insider and outsider perspectives. This paper offers guidance on taking a pragmatic approach to analysis, which entails strategically combining and borrowing from established qualitative approaches to meet a study’s needs, typically with guidance from an existing framework and with explicit research and practice change goals. Section 1 offers a series of practical questions to guide the development of a pragmatic analytic approach. These include examining the balance of inductive and deductive procedures, the extent to which insider or outsider perspectives are privileged, study requirements related to data and products that support scientific advancement and practice change, and strategic resource allocation. This is followed by an introduction to three approaches commonly considered for implementation science projects: grounded theory, framework analysis, and interpretive phenomenological analysis, highlighting core analytic procedures that may be borrowed for a pragmatic approach. Section 2 addresses opportunities to ensure and communicate rigor of pragmatic analytic approaches. Section 3 provides an illustrative example from the team’s work, highlighting how a pragmatic analytic approach was designed and executed and the diversity of research and practice products generated. As qualitative inquiry gains prominence in implementation science, it is critical to take advantage of qualitative methods’ diversity and flexibility. This paper furthers the conversation regarding how to strategically mix and match components of established qualitative approaches to meet the analytic needs of implementation science projects, thereby supporting high-impact research and improved opportunities to create practice change.
39 citations
TL;DR: In this paper, the authors conducted a systematic search of seven databases (EMBASE, Web of Science, CINAHL, PsychINFO ProQuest, Medline Ovid, Scopus, and Nursing and Allied Health) and found that food insecurity is associated with poor mental health.
19 citations
TL;DR: In this article, the authors examined the acute effects of participation in The Daily Mile on cognition and explored children's enjoyment of participating in the initiative, finding that children enjoyed participating in The daily mile, particularly due to its outdoor location, social context, and self-paced nature.
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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.
Abstract: Thematic analysis is a poorly demarcated, rarely acknowledged, yet widely used qualitative analytic method within psychology. In this paper, we argue that it offers an accessible and theoretically flexible approach to analysing qualitative data. We outline what thematic analysis is, locating it in relation to other qualitative analytic methods that search for themes or patterns, and in relation to different epistemological and ontological positions. We then provide clear guidelines to those wanting to start thematic analysis, or conduct it in a more deliberate and rigorous way, and consider potential pitfalls in conducting thematic analysis. Finally, we outline the disadvantages and advantages of thematic analysis. We conclude by advocating thematic analysis as a useful and flexible method for qualitative research in and beyond psychology.
103,789 citations
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.
Abstract: Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. 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.
31,398 citations
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.
Abstract: As qualitative research becomes increasingly recognized and valued, it is imperative that it is conducted in a rigorous and methodical manner to yield meaningful and useful results. To be accepted ...
9,963 citations
09 Sep 2002
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.
Abstract: The last two decades have seen a notable growth in the use of qualitative methods
for applied social policy research. Qualitative research is now used to explore
and understand a diversity of social and public policy issues, either as an
independent research strategy or in combination with some form of statistical
inquiry. The wider use of qualitative methods has come about for a number of
reasons but is underpinned by the persistent requirement in social policy fields
to understand complex behaviours, needs, systems and cultures.
7,396 citations
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.
Abstract: Qualitative content analysis and thematic analysis are two commonly used approaches in data analysis of nursing research, but boundaries between the two have not been clearly specified. In other words, they are being used interchangeably and it seems difficult for the researcher to choose between them. In this respect, this paper describes and discusses the boundaries between qualitative content analysis and thematic analysis and presents implications to improve the consistency between the purpose of related studies and the method of data analyses. This is a discussion paper, comprising an analytical overview and discussion of the definitions, aims, philosophical background, data gathering, and analysis of content analysis and thematic analysis, and addressing their methodological subtleties. 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. It means that measuring the frequency of different categories and themes is possible in content analysis with caution as a proxy for significance.
5,509 citations