Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Validité de construit longitudinale× | Analyse factorielle exploratoire (AFE)× | |
|---|---|---|
| Domaine≠ | Psychométrie | Statistique |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1993–2000 | — |
| Auteur d'origine≠ | Meredith, Vandenberg, and the measurement invariance tradition | — |
| Type≠ | Validity evaluation framework | Latent variable / dimension reduction |
| Source fondatrice≠ | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Alias≠ | longitudinal measurement validity, construct validity over time, longitudinal measurement invariance, LCV | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Apparentées≠ | 5 | 4 |
| Résumé≠ | Longitudinal construct validity evaluates whether a psychological scale measures the same latent construct in the same way across multiple time points. It is tested by progressively constraining a confirmatory factor model across waves and comparing model fit, ensuring that observed change scores reflect genuine change in the underlying trait rather than measurement drift. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
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