পদ্ধতির তুলনা করুন

	বেয়েশীয় ডিসক্রিমিন্যান্ট ভ্যালিডিটি অ্যাসেসমেন্ট	কনফার্মেটরি ফ্যাক্টর অ্যানালাইসিস (CFA)
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	2020 (Bayesian HTMT formalization); 1959 (discriminant validity concept)	1969
প্রবর্তক	Adaptation of Campbell & Fiske (1959) discriminant validity into Bayesian CFA framework; Bayesian HTMT formalization by Garnier-Villarreal & Jorgensen (2020)	Karl Gustav Jöreskog
ধরন	Validity assessment	Hypothesis-testing latent variable model
মৌলিক উৎস	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.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
অপর নাম	Bayesian HTMT, Bayesian HTMTb, Bayesian discriminant evidence, Bayesian CFA discriminant validity	CFA, confirmatory FA, measurement model, restricted factor analysis
সম্পর্কিত	6	4
সারসংক্ষেপ	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.	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.