Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test de l'invariance longitudinale de la mesure× | Analyse Factorielle Confirmatoire (AFC)× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1993 | 1969 |
| Auteur d'origine≠ | William Meredith | Karl Gustav Jöreskog |
| Type≠ | Measurement model testing | Hypothesis-testing latent variable model |
| Source fondatrice≠ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Alias | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Apparentées≠ | 3 | 4 |
| Résumé≠ | Longitudinal measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument. | 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. |
| ScholarGateJeu de données ↗ |
|
|