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An Introduction to Crisp Set QCA, with a Comparison to Binary Logistic Regression

¹ University of California, Irvine
² Central European University, Budapest

^* To whom correspondence should be addressed. E-mail: bgrofman{at}uci.edu.

	Abstract

The authors focus on the dichotomous crisp set form of qualitative comparative analysis (QCA). The authors review basic set theoretic QCA methodology, including truth tables, solution formulas, and coverage and consistency measures and discuss how QCA (a) displays relations between variables, (b) highlights descriptive or complex causal accounts for specific (groups of) cases, and (c) expresses the degree of fit. To help readers determine when QCA’s configurational approach might be appropriate, the authors compare and contrast QCA to mainstream statistical methodologies such as binary logistic regressions done on the same data set.

First published on June 22, 2009, doi:10.1177/1065912909338464

Political Research Quarterly 2009;62:662.

A more recent version of this article appeared on December 1, 2009


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