Aggregating Qualitative Findings: An Approach to Theory Development
Abstract
The authors suggest that findings of independent, similar research articles may be aggregated into a cohesive study. Such a procedure greatly enhances the generalizability of the original studies and produces a relatively solid mid-range theory. In this article, the criteria for selecting studies, possible problems inherent in the aggregation approach, and potential areas for application are discussed.
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Individual qualitative studies are often criticized for having relatively homogenous and small sample sizes, which mitigates generalizability.
“That is, as Estabrooks and her colleagues noted, individual qualitative studies are often criticized for having relatively homogenous and small sample sizes, which mitigates generalizability.”
From A grounded theory of positive youth development through sport based on results from a qualitative meta-study (2017) · cites this paper as Estabrooks et al., 1994
Models created by synthesizing individual qualitative studies provide more generalizability than would be possible from the original studies alone.
“Furthermore, models created by synthesizing individual qualitative studies provide more generalizability than would be possible from the original studies alone (Estabrooks et al., 1994).”
From A grounded theory of positive youth development through sport based on results from a qualitative meta-study (2017) · cites this paper as Estabrooks et al., 1994
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- Authors
- Estabrooks, C. A., Field, P. A., & Morse, J. M.
- Affiliations
- University of Alberta (CA)
- Pennsylvania State University (US)
- Venue
- Qualitative Health Research
- Publisher
- SAGE Publications
- Published
- 1994-11
- Volume
- 4
- Issue
- 4
- Pages
- 503-511
- ISSN
- 1049-7323 (ISSN-L)
- 1552-7557
- OpenAlex
- W2144367888
- Cited by
- 261
- References
- 11
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 12 · 2021: 10 · 2020: 11 · 2019: 5 · 2018: 9 · 2017: 8 · 2016: 14 · 2015: 5 · 2014: 11 · 2013: 11 · 2012: 10
- FWCI
- 14.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Qualitative Health Research (publishedVersion)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Keywords
- theory development, middle-range theory, generalizability, study selection criteria, qualitative evidence synthesis
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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.
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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