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An Introduction to Crisp Set QCA, with a Comparison to Binary Logistic Regression
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An Introduction to Crisp Set QCA, with a Comparison to Binary Logistic Regression
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Journal Article
An Introduction to Crisp Set QCA, with a Comparison to Binary Logistic Regression
2009
Overview
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.
