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Alternative Arguments for Generalizing from Data as Applied to Qualitative Research

Firestone, William A.·1993·Educational Researcher

Abstract

One criticism about qualitative research is that it is difficult to generalize findings to settings not studied. To explore this issue, I examine three broad arguments for generalizing from data: sample-to-population extrapolation, analytic generalization, and case-to-case transfer. Qualitative research often uses the last argument, but some efforts have been made to use the first two. I suggest that analytic generalization can be very helpful for qualitative researchers but that sample-to-population extrapolation is not likely to be.

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Metadata

Authors
Firestone, W. A.
Venue
Educational Researcher
Published
1993-05
Volume
22
Issue
4
Pages
16
ISSN
0013-189X (ISSN-L)
OpenAlex
W2156118686
Cited by
896
References
0
FWCI
58.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Alternative Arguments for Generalizing from Data as Applied to Qualitative Research. https://app.cochat.ai/papers/10.2307/1177100
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Firestone, W. A. (1993). Alternative Arguments for Generalizing from Data as Applied to Qualitative Research. Educational Researcher. https://doi.org/10.2307/1177100

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.