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领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份20001985
提出者Charles RaginHerman Wold
类型Set-theoretic configurational methodComponent-based structural equation model
开创性文献Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445
别名fsQCA, FSQCAPLS-SEM, PLS path modeling
相关45
摘要Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables.PLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data.
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  2. 3 来源
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  1. v1
  2. 3 来源
  3. PUBLISHED

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ScholarGate方法对比: Fuzzy-Set Qualitative Comparative Analysis · Partial Least Squares Structural Equation Modeling. 于 2026-06-17 检索自 https://scholargate.app/zh/compare