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Bayesovská konvergentní validita×Bayesovské testování invariance měření×
OborPsychometrikaPsychometrika
RodinaLatent structureLatent structure
Rok vzniku2000s–2010s2013
TvůrceBuilding on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literatureBengt Muthen, Tihomir Asparouhov, Rens Van de Schoot
TypValidity assessment / Bayesian inferenceBayesian multigroup latent variable test
Původní zdrojLevy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952Van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J., & Muthen, B. (2013). Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, 770. DOI ↗
Další názvyBayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCVBayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance
Příbuzné66
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.Bayesian measurement invariance testing evaluates whether a scale's factor loadings and item intercepts are equivalent across groups, using a Bayesian framework that allows parameters to deviate from strict equality by a small, probabilistically specified amount rather than imposing an exact constraint.
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ScholarGatePorovnat metody: Bayesian Convergent Validity · Bayesian Measurement Invariance. Získáno 2026-06-18 z https://scholargate.app/cs/compare