Linganisha mbinu

	Tathmini ya Usahihi wa Utengano wa Kibayesiani	Uchanganuzi wa Kimfumo wa Uhakiki wa Kibayes (BCFA)
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	2020 (Bayesian HTMT formalization); 1959 (discriminant validity concept)	2007–2012
Mwanzilishi	Adaptation of Campbell & Fiske (1959) discriminant validity into Bayesian CFA framework; Bayesian HTMT formalization by Garnier-Villarreal & Jorgensen (2020)	Sik-Yum Lee; Bengt Muthén and Tihomir Asparouhov
Aina	Validity assessment	Bayesian latent variable model
Chanzo asilia	Garnier-Villarreal, M. & Jorgensen, T. D. (2020). Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood. Psychological Methods, 25(1), 46–70.	Lee, S.-Y. (2007). Structural Equation Modeling: A Bayesian Approach. Wiley. ISBN: 978-0470024232
Majina mbadala	Bayesian HTMT, Bayesian HTMTb, Bayesian discriminant evidence, Bayesian CFA discriminant validity	BCFA, Bayesian CFA, Bayesian structural equation measurement model, Bayes-CFA
Zinazohusiana	6	4
Muhtasari	Bayesian discriminant validity assessment evaluates whether two theoretically distinct latent constructs are empirically separable, using posterior distributions and credible intervals rather than single-point null-hypothesis tests. It is applied within Bayesian confirmatory factor analysis or via the Bayesian heterotrait-monotrait ratio (HTMTb) to determine whether constructs measuring different traits are sufficiently differentiated.	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.