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贝叶斯测量不变性检验×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20132000
提出者Bengt Muthen, Tihomir Asparouhov, Rens Van de SchootVandenberg & Lance
类型Bayesian multigroup latent variable testMulti-group confirmatory factor analysis procedure
开创性文献Van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J., & Muthen, B. (2013). Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, 770. 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Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invarianceFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
相关63
摘要Bayesian measurement invariance testing evaluates whether a scale's factor loadings and item intercepts are equivalent across groups, using a Bayesian framework that allows parameters to deviate from strict equality by a small, probabilistically specified amount rather than imposing an exact constraint.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: Bayesian Measurement Invariance · Measurement Invariance. 于 2026-06-19 检索自 https://scholargate.app/zh/compare