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Abstract
Thematic analysis, a well-enforced qualitative analytic method, is likely to continue evolving with the adoption of AI technologies. This how-to report does not delve into the details of thematic analysis itself, as there are ample existing studies on the topic. Instead, it acknowledges the potential impacts, dynamics, and pitfalls of AI in thematic analysis while offering valuable advice, particularly for novice analysts, on how to incorporate and document AI tools in each phase of a thematic analysis. The author underscores the importance of not allowing AI to overshadow the analyst's critical evaluative and interpretive skills but instead supporting the use of AI as an aid in thematic analysis, enhancing the depth and breadth of analysis, provided certain criteria are adhered to. This approach ensures that AI serves as a complementary tool, augmenting rather than replacing human analytical inquiry.
Keywords
thematic analysis, artificial intelligence, AI, qualitative research
Publication Date
2-9-2024
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.
DOI
10.46743/2160-3715/2024.7046
Recommended APA Citation
Christou, P. A. (2024). Thematic Analysis through Artificial Intelligence (AI). The Qualitative Report, 29(2), 560-576. https://doi.org/10.46743/2160-3715/2024.7046
ORCID ID
0000-0001-6628-2619
Included in
Quantitative, Qualitative, Comparative, and Historical Methodologies Commons, Social Statistics Commons