Linganisha mbinu

	Uchanganuzi wa Kimfumo wa Uhakiki wa Kibayes (BCFA)	Upimaji wa Uthabiti wa Upimaji wa Kibayesiani
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	2007–2012	2013
Mwanzilishi	Sik-Yum Lee; Bengt Muthén and Tihomir Asparouhov	Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot
Aina	Bayesian latent variable model	Bayesian multigroup latent variable test
Chanzo asilia	Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232	Van 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.
Majina mbadala	BCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFA	Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance
Zinazohusiana	4	6
Muhtasari	Bayesian confirmatory factor analysis tests a pre-specified factor structure using Bayesian inference. Instead of point estimates with p-values, it produces full posterior distributions for loadings, factor correlations, and residual variances, allowing the researcher to incorporate prior knowledge and propagate parameter uncertainty naturally.	Bayesian 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.