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다층 확인적 요인분석 (Multilevel Confirmatory Factor Analysis, MCFA)×측정 불변성 검증×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도19942000
창시자Bengt O. MuthenVandenberg & Lance
유형Latent variable model / measurement modelMulti-group confirmatory factor analysis procedure
원전Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI ↗Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗
별칭MCFA, multilevel measurement model, two-level CFA, hierarchical CFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
관련63
요약Multilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations.Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.
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ScholarGate방법 비교: Multilevel CFA · Measurement Invariance. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare