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Ujian Keterakalaan Pengukuran Bayesian×Analisis Faktor Pengesahan (CFA)×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal20131969
PengasasBengt Muthen, Tihomir Asparouhov, Rens Van de SchootKarl Gustav Jöreskog
JenisBayesian multigroup latent variable testHypothesis-testing latent variable model
Sumber perintisVan 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 ↗
AliasBayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invarianceCFA, confirmatory FA, measurement model, restricted factor analysis
Berkaitan64
RingkasanBayesian 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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ScholarGateBandingkan kaedah: Bayesian Measurement Invariance · Confirmatory factor analysis. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare