Comparer des méthodes
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| Évaluation bayésienne de la validité de construit× | Validité de construit× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1955 / 2012 | 1955 |
| Auteur d'origine≠ | Cronbach & Meehl (validity framework); Muthén & Asparouhov (Bayesian SEM extension) | Lee J. Cronbach & Paul E. Meehl |
| Type≠ | Validity assessment / Bayesian inference | Validity evaluation framework |
| Source fondatrice≠ | Muthén, B. & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. DOI ↗ | Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ |
| Alias | Bayesian validity analysis, Bayesian CFA-based validity, Bayesian structural validity, posterior construct validity | construct validation, factorial validity, nomological validity evidence, validity of interpretation |
| Apparentées | 6 | 6 |
| Résumé≠ | Bayesian construct validity assessment uses Bayesian confirmatory factor analysis and related Bayesian structural equation models to evaluate whether a scale or test measures the intended latent construct. It yields full posterior distributions for factor loadings, structural coefficients, and model-fit indices rather than single point estimates, enabling more nuanced and uncertainty-aware validity conclusions. | 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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