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Bayesovské testování invariance měření×Konfirmační faktorová analýza (CFA)×
OborPsychometrikaPsychometrika
RodinaLatent structureLatent structure
Rok vzniku20131969
TvůrceBengt Muthen, Tihomir Asparouhov, Rens Van de SchootKarl Gustav Jöreskog
TypBayesian multigroup latent variable testHypothesis-testing latent variable model
Původní zdrojVan 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 ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Další názvyBayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invarianceCFA, confirmatory FA, measurement model, restricted factor analysis
Příbuzné64
ShrnutíBayesian 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.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
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ScholarGatePorovnat metody: Bayesian Measurement Invariance · Confirmatory factor analysis. Získáno 2026-06-18 z https://scholargate.app/cs/compare