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Bayesovská konvergentní validita×Konvergentní validita×
OborPsychometrikaPsychometrika
RodinaLatent structureLatent structure
Rok vzniku2000s–2010s1959
TvůrceBuilding on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literatureDonald T. Campbell & Donald W. Fiske
TypValidity assessment / Bayesian inferenceValidity evidence / construct validation
Původní zdrojLevy, 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 ↗
Další názvyBayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCVconvergent construct validity, convergence validity, AVE-based convergent validity
Příbuzné64
ShrnutíBayesian 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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ScholarGatePorovnat metody: Bayesian Convergent Validity · Convergent Validity. Získáno 2026-06-17 z https://scholargate.app/cs/compare