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领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份2000s–2010s1955
提出者Building on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literatureLee J. Cronbach & Paul E. Meehl
类型Validity assessment / Bayesian inferenceValidity evaluation framework
开创性文献Levy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗
别名Bayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCVconstruct validation, factorial validity, nomological validity evidence, validity of interpretation
相关66
摘要Bayesian convergent validity applies Bayesian statistical inference to assess whether different measures of the same construct converge as theory predicts. Rather than a single-point correlation estimate, it yields a full posterior distribution over the convergent correlation, enabling probability statements about the magnitude of shared variance between theoretically related measures.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 Convergent Validity · Construct Validity. 于 2026-06-15 检索自 https://scholargate.app/zh/compare