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贝叶斯结构效度评估×构念效度×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1955 / 20121955
提出者Cronbach & Meehl (validity framework); Muthén & Asparouhov (Bayesian SEM extension)Lee J. Cronbach & Paul E. Meehl
类型Validity assessment / Bayesian inferenceValidity evaluation framework
开创性文献Muthén, B. & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. DOI ↗Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗
别名Bayesian validity analysis, Bayesian CFA-based validity, Bayesian structural validity, posterior construct validityconstruct validation, factorial validity, nomological validity evidence, validity of interpretation
相关66
摘要Bayesian construct validity assessment uses Bayesian confirmatory factor analysis and related Bayesian structural equation models to evaluate whether a scale or test measures the intended latent construct. It yields full posterior distributions for factor loadings, structural coefficients, and model-fit indices rather than single point estimates, enabling more nuanced and uncertainty-aware validity conclusions.Construct validity is the degree to which a test or scale actually measures the theoretical construct it is intended to measure. Introduced by Cronbach and Meehl in 1955, it is the central validity concern in psychological and educational measurement, evaluated by accumulating multiple lines of empirical and logical evidence rather than by any single statistical test.
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ScholarGate方法对比: Bayesian Construct Validity · Construct Validity. 于 2026-06-15 检索自 https://scholargate.app/zh/compare