The SAGE Handbook of Qualitative Data Analysis
Abstract
The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data. The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative
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The analysis employed open and axial coding to identify common themes across transcripts and notes.
“We employed open and axial coding [13] to identify common themes across the transcripts and notes for each participant.”
From Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences (2024) · cites this paper as [13]
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- Authors
- Flick, U.
- Corresponding author
- Flick, Uwe
- ORCID
- Flick, Uwe
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 2014
- OpenAlex
- W436832653
- Cited by
- 2,469
- References
- 0
- Citations by year
- 2026: 119 · 2025: 268 · 2024: 309 · 2023: 320 · 2022: 344 · 2021: 307 · 2020: 245 · 2019: 190 · 2018: 153 · 2017: 90 · 2016: 68 · 2015: 35 · 2014: 14 · 2013: 4
- FWCI
- 120.29
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Sage eBooks (publishedVersion)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Keywords
- qualitative data analysis, qualitative research, grounded theory, content analysis, hermeneutics, phenomenology, narrative analysis, text analysis
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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