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Qualitative data analysis for applied policy research
Abstract
The last two decades have seen a notable growth in the use of qualitative methods for applied social policy research. Qualitative research is now used to explore and understand a diversity of social and public policy issues, either as an independent research strategy or in combination with some form of statistical inquiry. The wider use of qualitative methods has come about for a number of reasons but is underpinned by the persistent requirement in social policy fields to understand complex behaviours, needs, systems and cultures.
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“Consequently, we adopted framework analysis (Ritchie and Spencer, 2002; Goldsmith, 2021), a form of directed content analysis wherein researchers first familiarise themselves with the data, develop an analytical framework, and subsequently index data according to this framework.”
From Vibe coding: programming through conversation with artificial intelligence (2025) · cites this paper as Ritchie and Spencer, 2002
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- Bulmer, M. (1982) The Uses of Social Research, London: Allen & Unwin. · DOI
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Metadata
- Venue
- Analyzing Qualitative Data
- Publisher
- Routledge
- Published
- 2002-09-09
- Pages
- 187-208
- OpenAlex
- W1588965071
- Cited by
- 4,964
- References
- 0
- Citations by year
- 2026: 13 · 2025: 68 · 2024: 85 · 2023: 95 · 2022: 89 · 2021: 314 · 2020: 298 · 2019: 331 · 2018: 284 · 2017: 277 · 2016: 291 · 2015: 361 · 2014: 386 · 2013: 357 · 2012: 313
- FWCI
- 415.52
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › General Social Sciences › Social Science and Policy Research
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Keywords
- qualitative data analysis, social policy, mixed methods
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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