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필수 조건 분석×퍼지 집합 질적 비교 분석×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도20162000
창시자Jan DulCharles Ragin
유형Set-theoretic configurational analysisSet-theoretic configurational method
원전Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52. DOI ↗Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗
별칭NCAfsQCA, FSQCA
관련54
요약Necessary Condition Analysis (NCA) is a set-theoretic method developed by Dul (2016) that identifies conditions necessary (but not necessarily sufficient) for an outcome to occur. Unlike regression, which estimates average effects, NCA identifies absolute thresholds: conditions that must be present at a certain level for the outcome to be possible, regardless of other factors.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.
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ScholarGate방법 비교: Necessary Condition Analysis · Fuzzy-Set Qualitative Comparative Analysis. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare