Thematic analysis of qualitative data: AMEE Guide No. 131
By Michelle E Kiger, Lara Varpio. Medical Teacher, 2020
2,815 citations recorded by the source corpus.
Abstract Thematic analysis is a widely used, yet often misunderstood, method of qualitative data analysis. It is a useful and accessible tool for qualitative researchers, but confusion regarding the method’s philosophical underpinnings and imprecision in how it has been described have complicated its use and acceptance among researchers. In this Guide, we outline what thematic analysis is, positioning it in relation to other methods of qualitative analysis, and describe when it is appropriate to use the method under a variety of epistemological frameworks. We also provide a detailed definition of a theme, as this term is often misapplied. Next, we describe the most commonly used six-step framework for conducting thematic analysis, illustrating each step using examples from our own research. Finally, we discuss advantages and disadvantages of this method and alert researchers to pitfalls to avoid when using thematic analysis. We aim to highlight thematic analysis as a powerful and flexible method of qualitative analysis and to empower researchers at all levels of experience to conduct thematic analysis in rigorous and thoughtful way.
Subfields: Education, General Health Professions, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/1085422212c1b7a8c5c41b905fbda83c5b1a49a1
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In Education
In General Health Professions
In Management Science and Operations Research
Citations in the corpus
- An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews (2022, positive): “Thematic analysis was chosen because it enables systematic analysis of large data sets and facilitates the comprehension of textual patterns while considering the context [21,72].”
- The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: a qualitative study exploring medical students’ perspectives (2020, neutral): “E [16], and Braun.”