Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Evaluarea bayesiană a validității discriminante× | Validitatea de construct× | |
|---|---|---|
| Domeniu | Psihometrie | Psihometrie |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 2020 (Bayesian HTMT formalization); 1959 (discriminant validity concept) | 1955 |
| Autorul original≠ | Adaptation of Campbell & Fiske (1959) discriminant validity into Bayesian CFA framework; Bayesian HTMT formalization by Garnier-Villarreal & Jorgensen (2020) | Lee J. Cronbach & Paul E. Meehl |
| Tip≠ | Validity assessment | Validity evaluation framework |
| Sursa seminală≠ | 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. DOI ↗ | Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ |
| Denumiri alternative | Bayesian HTMT, Bayesian HTMTb, Bayesian discriminant evidence, Bayesian CFA discriminant validity | construct validation, factorial validity, nomological validity evidence, validity of interpretation |
| Înrudite | 6 | 6 |
| Rezumat≠ | 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. | Construct validity is the degree to which a test or scale actually measures the theoretical construct it is intended to measure. Introduced by Cronbach and Meehl in 1955, it is the central validity concern in psychological and educational measurement, evaluated by accumulating multiple lines of empirical and logical evidence rather than by any single statistical test. |
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