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Set Relations in Social Research: Evaluating Their Consistency and Coverage

Published online by Cambridge University Press:  04 January 2017

Charles C. Ragin
Charles C. Ragin*
Affiliation:
Department of Sociology, University of Arizona, Tucson, AZ 85721. e-mail: [email protected]
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Abstract

Because of its inherently asymmetric nature, set-theoretic analysis offers many interesting contrasts with analysis based on correlations. Until recently, however, social scientists have been slow to embrace set-theoretic approaches. The perception was that this type of analysis is restricted to primitive, binary variables and that it has little or no tolerance for error. With the advent of “fuzzy” sets and the recognition that even rough set-theoretic relations are relevant to theory, these old barriers have crumbled. This paper advances the set-theoretic approach by presenting simple descriptive measures that can be used to evaluate set-theoretic relationships, especially relations between fuzzy sets. The first measure, “consistency,” assesses the degree to which a subset relation has been approximated, whereas the second measure, “coverage,” assesses the empirical relevance of a consistent subset. This paper demonstrates further that set-theoretic coverage can be partitioned in a manner somewhat analogous to the partitioning of explained variation in multiple regression analysis.

Type
Research Article
Information
Political Analysis , Volume 14 , Issue 3: Special Issue on Causal Complexity and Qualitative Methods , Summer 2006 , pp. 291 - 310
Copyright
Copyright © The Author 2006. Published by Oxford University Press on behalf of the Society for Political Methodology 

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