Latent structureQualitative-Quantitative Hybrid
模糊集定性比较分析
模糊集定性比较分析(fsQCA)是由Charles Ragin在21世纪初开发的一种集合论方法,它将定性案例研究的构型逻辑与模糊集的数学严谨性相结合。它通过考察条件(构型)的组合而非孤立变量来研究因果复杂性,从而架起了定性与定量研究的桥梁。
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来源
- Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI: 10.7208/chicago/9780226702797.001.0001 ↗
- Ragin, C. C. (2006). Set relations in social research: Evaluating their consistency and coverage. Political Analysis, 14(3), 291-310. DOI: 10.1093/pan/mpj019 ↗
- Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393-420. DOI: 10.5465/amj.2011.60263120 ↗
如何引用本页
ScholarGate. (2026, June 3). Fuzzy-Set Qualitative Comparative Analysis. ScholarGate. https://scholargate.app/zh/psychometrics/fsqca
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