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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–2010s1959
提出者Building on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literatureDonald T. Campbell & Donald W. Fiske
类型Validity assessment / Bayesian inferenceValidity evidence / construct validation
开创性文献Levy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗
别名Bayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCVconvergent construct validity, convergence validity, AVE-based convergent validity
相关64
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.Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation.
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ScholarGate方法对比: Bayesian Convergent Validity · Convergent Validity. 于 2026-06-17 检索自 https://scholargate.app/zh/compare