Abstract
In this article, we import set-theoretic methods from the qualitative research tradition into the quantitative research tradition. We focus specifically on set-theoretic methods designed to analyze the extent to which a condition is necessary and is sufficient for an outcome of interest. We use these methods to reanalyze four major studies from the quantitative tradition. We find that set-theoretic methods call attention to asymmetrical patterns in the data that otherwise go unnoticed and unanalyzed. We develop a general set-theoretic framework for the study of necessity and sufficiency. We conclude that the use of this framework can enrich existing and future quantitative research in the social sciences.
Original language | English (US) |
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Journal | Quality and Quantity |
DOIs | |
State | Accepted/In press - 2021 |
Keywords
- Causality
- Experiments
- Logic
- Mixed methods
- Multi-method research
- QCA
- Qualitative methods
ASJC Scopus subject areas
- Statistics and Probability
- Social Sciences(all)