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.

Keywords

GeneralizationExtrapolationCriticismArgument (complex analysis)Qualitative researchSample (material)Qualitative propertyPopulationEpistemologyPsychologyComputer scienceManagement scienceMathematicsSociologyStatisticsSocial sciencePolitical scienceMedicineEconomics

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Publication Info

Year
1993
Type
article
Volume
22
Issue
4
Pages
16-23
Citations
816
Access
Closed

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William A. Firestone (1993). Alternative Arguments for Generalizing From Data as Applied to Qualitative Research. Educational Researcher , 22 (4) , 16-23. https://doi.org/10.3102/0013189x022004016

Identifiers

DOI
10.3102/0013189x022004016