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확인적 요인 분석 (CFA)×측정 불변성 검증×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도19692000
창시자Karl Gustav JöreskogVandenberg & Lance
유형Hypothesis-testing latent variable modelMulti-group confirmatory factor analysis procedure
원전Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. 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 ↗
별칭CFA, confirmatory FA, measurement model, restricted factor analysisFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
관련43
요약Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.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: Confirmatory factor analysis · Measurement Invariance. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare