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Análise Fatorial Confirmatória Bayesiana (AFCB)×Teste Bayesiano de Invariância de Medida×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem2007–20122013
Autor originalSik-Yum Lee; Bengt Muthén and Tihomir AsparouhovBengt Muthen, Tihomir Asparouhov, Rens Van de Schoot
TipoBayesian latent variable modelBayesian multigroup latent variable test
Fonte seminalLee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232Van 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 ↗
Outros nomesBCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFABayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance
Relacionados46
ResumoBayesian 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.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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ScholarGateComparar métodos: Bayesian Confirmatory Factor Analysis · Bayesian Measurement Invariance. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare