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验证性因子分析(CFA)×测量不变性检验×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份19692000
提出者Karl Gustav JöreskogVandenberg & Lance
类型Hypothesis-testing latent variable modelMulti-group confirmatory factor analysis procedure
开创性文献Jöreskog, 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 ↗
别名CFA, confirmatory FA, measurement model, restricted factor analysisFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
相关43
摘要Confirmatory 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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ScholarGate方法对比: Confirmatory factor analysis · Measurement Invariance. 于 2026-06-19 检索自 https://scholargate.app/zh/compare