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Bayesovská konvergentná validita×Bayesovská konfirmačná faktorová analýza (BCFA)×
OdborPsychometriaPsychometria
RodinaLatent structureLatent structure
Rok vzniku2000s–2010s2007–2012
TvorcaBuilding on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literatureSik-Yum Lee; Bengt Muthén and Tihomir Asparouhov
TypValidity assessment / Bayesian inferenceBayesian latent variable model
Pôvodný zdrojLevy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232
Ďalšie názvyBayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCVBCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFA
Príbuzné64
ZhrnutieBayesian 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.Bayesian confirmatory factor analysis tests a pre-specified factor structure using Bayesian inference. Instead of point estimates with p-values, it produces full posterior distributions for loadings, factor correlations, and residual variances, allowing the researcher to incorporate prior knowledge and propagate parameter uncertainty naturally.
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ScholarGatePorovnať metódy: Bayesian Convergent Validity · Bayesian Confirmatory Factor Analysis. Získané 2026-06-17 z https://scholargate.app/sk/compare