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Bayesian razvoj skala×Potvrdna faktorska analiza (CFA)×
PodručjePsihometrijaPsihometrija
ObiteljLatent structureLatent structure
Godina nastanka1990s–2000s1969
TvoracHarold Jeffreys, expanded into psychometrics by Mislevy and colleaguesKarl Gustav Jöreskog
VrstaBayesian probabilistic scale constructionHypothesis-testing latent variable model
Temeljni izvorDe Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press. ISBN: 978-1593858698Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Drugi naziviBayesian psychometric scale construction, Bayesian measurement modeling, Bayesian item development, BSDCFA, confirmatory FA, measurement model, restricted factor analysis
Srodne54
SažetakBayesian scale development applies Bayesian statistical inference to the construction and evaluation of psychometric scales. Rather than relying on single point estimates of item and person parameters, it produces full posterior distributions that quantify uncertainty, incorporate prior knowledge, and support principled decisions about item retention, reliability, and validity in small or complex samples.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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ScholarGateUsporedite metode: Bayesian Scale Development · Confirmatory factor analysis. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare