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Prueba Bayesiana de Invarianza de Medición×Análisis Factorial Exploratorio (AFE)×
CampoPsicometríaEstadística
FamiliaLatent structureLatent structure
Año de origen2013
Autor originalBengt Muthen, Tihomir Asparouhov, Rens Van de Schoot
TipoBayesian multigroup latent variable testLatent variable / dimension reduction
Fuente seminalVan 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 ↗Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗
AliasBayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariancecommon factor analysis, açımlayıcı faktör analizi, factor analysis
Relacionados64
ResumenBayesian 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.Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.
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  1. v2
  2. 2 Fuentes
  3. PUBLISHED

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ScholarGateComparar métodos: Bayesian Measurement Invariance · EFA. Recuperado el 2026-06-17 de https://scholargate.app/es/compare