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Thematic Analysis: Striving to Meet the Trustworthiness Criteria

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TLDR
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 ...

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Reflecting on reflexive thematic analysis

TL;DR: Since initially writing on thematic analysis in 2006, the popularity of the method as mentioned in this paper has exploded, the variety of TA approaches have expanded, and, not least, our thinking has developed a...
Journal ArticleDOI

One size fits all? What counts as quality practice in (reflexive) thematic analysis?

TL;DR: Developing a universal quality standard for thematic analysis (TA) is complicated by the existence of numerous iterations of TA that differ paradigmatically, philosophically and procedurally.

Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars.

TL;DR: The authors apply Braun and Clarke's (2006) framework to describe and explain the process of qualitative analysis within the context of learning and teaching research and illustrate the process using a worked example based on a short extract from a focus group interview, conducted with undergraduate students.
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To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales

TL;DR: It is argued that although the concepts of data-, thematic- or code-saturation, and even meaning-s saturation, are coherent with the neo-positivist, discovery-oriented, meaning excavation project of coding reliability types of TA, they are not consistent with the values and assumptions of reflexive TA.
Journal ArticleDOI

Thematic analysis of qualitative data: AMEE Guide No. 131.

TL;DR: Thematic analysis is outlined, positioning it in relation to other methods of qualitative analysis, and described when it is appropriate to use the method under a variety of epistemological frameworks, as this term is often misapplied.
References
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Journal ArticleDOI

Using thematic analysis in psychology

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

Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups

TL;DR: The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
Book

Fourth Generation Evaluation

TL;DR: The coming of age of evaluation What is fourth generation evaluation? Why should we choose to practice it? What Is this Constructivist Paradigm Anyway? Ethics and Politics The Twin Failures of Positivist Science Constructions and Reconstructions of Realities Paradigms and Methodologies The Methodology of Fourth Generation Evaluations Judging the Quality of 4G Evaluation Putting It All Together so that It Spells E-V-A-L-U-A -T-I-O-N
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Analysing qualitative data

TL;DR: Qualitative research produces large amounts of textual data in the form of transcripts and observational fieldnotes, and the systematic and rigorous preparation and analysis of these data is time consuming and labour intensive.
Related Papers (5)
Trending Questions (3)
What are the criteria that are used during the thematic analysis?

The criteria used during thematic analysis are outlined by Lincoln and Guba (1985) to ensure dependability, including logical, traceable, and well-documented research processes.

Why thematic analysis is important in social science research ?

Thematic analysis is important in social science research because it allows for the identification, analysis, and reporting of themes within a data set, providing meaningful and useful results.