Techniques to Identify Themes
Abstract
Theme identification is one of the most fundamental tasks in qualitative research. It also is one of the most mysterious. Explicit descriptions of theme discovery are rarely found in articles and reports, and when they are, they are often relegated to appendices or footnotes. Techniques are shared among small groups of social scientists, but sharing is impeded by disciplinary or epistemological boundaries. The techniques described here are drawn from across epistemological and disciplinary boundaries. They include both observational and manipulative techniques and range from quick word counts to laborious, in-depth, line-by-line scrutiny. Techniques are compared on six dimensions: (1) appropriateness for data types, (2) required labor, (3) required expertise, (4) stage of analysis, (5) number and types of themes to be generated, and (6) issues of reliability and validity.
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The interviews were fully transcribed verbatim and served as a basis for thematic analysis.
“The interviews, which reflect practices from the teaching community in this new context of Generative AI were fully transcribed verbatim and served as a basis for thematic analysis [47,170].”
From The Robots Are Here: Navigating the Generative AI Revolution in Computing Education (2023) · cites this paper as [170]
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- Authors
- Ryan, G. W., & Bernard, H. R.
- Affiliations
- RAND Corporation (US)
- University of Florida (US)
- Venue
- Field Methods
- Publisher
- SAGE Publications
- Published
- 2003-02
- Volume
- 15
- Issue
- 1
- Pages
- 85-109
- ISSN
- 1064-8631 (ISSN-L)
- 1525-822X
- 1552-3969
- OpenAlex
- W2171380100
- Cited by
- 5,475
- References
- 7
- Citations by year
- 2026: 213 · 2025: 286 · 2024: 304 · 2023: 354 · 2022: 345 · 2021: 456 · 2020: 410 · 2019: 399 · 2018: 367 · 2017: 379 · 2016: 345 · 2015: 327 · 2014: 329 · 2013: 280 · 2012: 184
- FWCI
- 69.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Field Methods (publishedVersion)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Keywords
- theme identification, qualitative data analysis, coding techniques, word count, observational techniques, manipulation techniques, reliability statistics, validity, epistemological boundaries, disciplinary boundaries
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