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Logical Constraints: The Limitations of QCA in Social Science Research

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  • Clarke, Kevin A.

Abstract

Researchers employing qualitative comparative analysis (QCA) and its variants use two-element Boolean algebra to compare cases and identify putative causal conditions. I show that the two-element Boolean algebra constrains research in three important ways: it restricts what we can say about sets and the interactions between sets, it embodies a logical language that is too weak to capture modern social science theories, and it restricts our analysis of causation to necessity and sufficiency accounts and does not allow for counterfactuals. Modern quantitative analysis suffers none of these restrictions and provides a much richer way to understand the social world.

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  • Clarke, Kevin A., 2020. "Logical Constraints: The Limitations of QCA in Social Science Research," Political Analysis, Cambridge University Press, vol. 28(4), pages 552-568, October.
    • Handle: RePEc:cup:polals:v:28:y:2020:i:4:p:552-568_6
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    Cited by:

    1. Malte L. Peters & Stephan Zelewski, 2021. "Upper and lower satisficing levels in efficiency analysis: a corporate social responsibility perspective," Sustainability Nexus Forum, Springer, vol. 29(3), pages 187-195, December.
    2. Lei Wang & Weijia You & Yingying Zhou & Fei Meng, 2022. "How Does Green Supply Chain Management Promote the Success of Crowdfunding Projects? Empirical Research Based on the QCA Method," Sustainability, MDPI, vol. 14(19), pages 1-21, September.

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