Usporedite metode

	Bayesian Factor Analysis	Konfirmatorna faktorska analiza (CFA)
Područje	Bayesovska statistika	Statistika
Obitelj	Bayesian methods	Latent structure
Godina nastanka	2004	1969
Tvorac	Lopes & West (2004) for Bayesian model assessment in factor analysis	Karl Jöreskog
Vrsta	Bayesian latent variable model	Confirmatory latent variable model
Temeljni izvor	Lopes, H. F. & West, M. (2004). Bayesian Model Assessment in Factor Analysis. Statistica Sinica, 14(1), 41–67.	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363
Drugi nazivi	Bayesian EFA, Bayesian CFA, Bayesçi Faktör Analizi, probabilistic factor analysis	Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model
Srodne	7	4
Sažetak	Bayesian Factor Analysis is a probabilistic latent-variable method that places prior distributions on the factor loading matrix and the residual variances, then infers a full posterior over these parameters from the observed data. Developed prominently in the Bayesian framework by Lopes and West (2004), it extends classical exploratory and confirmatory factor analysis by quantifying uncertainty in every estimated loading rather than reporting single point estimates.	Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.