Compară metode

	Validitatea discriminantă robustă	Analiza factoriala confirmatorie (CFA)
Domeniu	Psihometrie	Psihometrie
Familie	Latent structure	Latent structure
Anul apariției	1959 (foundational); 2015 (HTMT criterion)	1969
Autorul original	Henseler, Ringle & Sarstedt (HTMT); Campbell & Fiske (foundational framework)	Karl Gustav Jöreskog
Tip	Validity assessment / measurement quality criterion	Hypothesis-testing latent variable model
Sursa seminală	Henseler, J., Ringle, C. M. & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Denumiri alternative	HTMT criterion, heterotrait-monotrait ratio, discriminant validity testing, RDV	CFA, confirmatory FA, measurement model, restricted factor analysis
Înrudite	4	4
Rezumat	Robust discriminant validity assessment determines whether distinct latent constructs in a measurement model are sufficiently different from one another. Unlike traditional AVE-based approaches, robust methods such as the Heterotrait-Monotrait (HTMT) ratio use the pattern of inter-indicator correlations to provide a more sensitive and simulation-validated criterion for judging discriminant validity in structural equation modeling contexts.	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.