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A set-analytic approach to intersectionality.

Charles C Ragin1, Peer C Fiss2

  • 1Department of Sociology, University of California, Irvine, Irvine, CA 92697-5100, USA.

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|May 19, 2024
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Summary
This summary is machine-generated.

This study introduces a set-analytic approach for intersectionality research, demonstrating that truth table analysis better captures complex attribute combinations than traditional quantitative methods. This method enhances understanding of multi-category membership effects.

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Area of Science:

  • Social Sciences
  • Quantitative Sociology
  • Intersectionality Studies

Background:

  • Intersectionality theory posits that combined social attributes create unique experiences.
  • Traditional quantitative methods may oversimplify or misrepresent intersectional effects.
  • Existing approaches struggle to analyze complex combinations of attributes.

Purpose of the Study:

  • To propose a novel set-analytic approach for studying intersectionality.
  • To demonstrate the limitations of interaction-based quantitative methods in intersectionality research.
  • To highlight the utility of truth table analysis for intersectional studies.

Main Methods:

  • Set-theoretic approach using truth table analysis.
  • Qualitative Comparative Analysis (QCA) principles.
  • Comparison of logically adjacent configurations of attributes.

Main Results:

  • Interaction-based quantitative approaches conflict with intersectionality's core assumptions.
  • Truth table analysis aligns with intersectionality's methodological needs.
  • The proposed approach can identify penalties associated with multi-category memberships.

Conclusions:

  • Set-theoretic truth table analysis is a superior method for intersectionality research.
  • This approach accommodates nuanced attribute variations and comparisons.
  • It offers a more accurate framework for understanding intersectional phenomena.