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퍼지 집합 질적 비교 분석×부분 최소 제곱 구조 방정식 모형×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도20001985
창시자Charles RaginHerman Wold
유형Set-theoretic configurational methodComponent-based structural equation model
원전Ragin, 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
별칭fsQCA, FSQCAPLS-SEM, PLS path modeling
관련45
요약Fuzzy-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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ScholarGate방법 비교: Fuzzy-Set Qualitative Comparative Analysis · Partial Least Squares Structural Equation Modeling. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare