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fuzzy: A program for performing qualitative comparative analyses (QCA) in Stata

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  • Kyle C. Longest

    (Department of Sociology, University of North Carolina at Chapel Hill)

  • Stephen Vaisey

    (Department of Sociology, University of North Carolina at Chapel Hill)

Abstract

Qualitative comparative analysis (QCA) is an increasingly popular analytic strategy, with applications to numerous empirical fields. This article briefly discusses the substantive motivation and technical details of QCA, as well as fuzzy-set QCA, followed by an in-depth discussion of how the new program fuzzy performs these techniques in Stata. An empirical example is presented that demonstrates the full suite of tools contained within fuzzy, including creating configurations, performing a series of statistical tests of the configurations, and reducing the identified configurations. Copyright 2008 by StataCorp LP.

Suggested Citation

  • Kyle C. Longest & Stephen Vaisey, 2008. "fuzzy: A program for performing qualitative comparative analyses (QCA) in Stata," Stata Journal, StataCorp LP, vol. 8(1), pages 79-104, February.
    • Handle: RePEc:tsj:stataj:v:8:y:2008:i:1:p:79-104
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    References listed on IDEAS

    as
    1. Arne L. Kalleberg & Stephen Vaisey, 2005. "Pathways to a Good Job: Perceived Work Quality among the Machinists in North America," British Journal of Industrial Relations, London School of Economics, vol. 43(3), pages 431-454, September.
    2. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, September.
    3. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
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