So sánh phương pháp

	Mô hình phương trình cấu trúc Bayes (BSEM)	Phân tích nhân tố khẳng định (CFA)
Lĩnh vực	Bayes	Thống kê
Họ	Bayesian methods	Latent structure
Năm ra đời	2012	1969
Người khởi xướng	Bengt Muthén & Tihomir Asparouhov	Karl Jöreskog
Loại	Bayesian latent variable model	Confirmatory latent variable model
Công trình gốc	Muthén, B. & Asparouhov, T. (2012). Bayesian SEM: A More Flexible Representation of Substantive Theory. Psychological Methods, 17(3), 313–335.	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363
Tên gọi khác	BSEM, Bayesian latent variable model, approximate zero constraints SEM, Bayesçi Yapısal Eşitlik Modeli	Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model
Liên quan	6	4
Tóm tắt	Bayesian SEM, introduced by Muthén and Asparouhov in 2012, extends classical structural equation modeling by placing prior distributions on factor loadings, path coefficients, and covariances. Instead of returning a single maximum-likelihood estimate, it uses Markov chain Monte Carlo to produce a full posterior distribution for every parameter, enabling principled uncertainty quantification in models with latent variables.	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.