Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Oméga multiniveau de McDonald× | Analyse factorielle confirmatoire multiniveau (MCFA)× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1999 (omega); 2014 (multilevel extension) | 1994 |
| Auteur d'origine≠ | Roderick P. McDonald (omega); multilevel extension by Geldhof, Preacher & Zyphur | Bengt O. Muthen |
| Type≠ | Reliability coefficient | Latent variable model / measurement model |
| Source fondatrice≠ | Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗ | Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. DOI ↗ |
| Alias | multilevel omega, omega within, omega between, hierarchical omega | MCFA, multilevel measurement model, two-level CFA, hierarchical CFA |
| Apparentées≠ | 3 | 6 |
| Résumé≠ | Multilevel McDonald's omega estimates reliability at two distinct levels — within groups and between groups — for scales administered to individuals nested in clusters such as classrooms, teams, or organizations. It accounts for the non-independence induced by grouping and avoids the bias that single-level omega produces in clustered data. | Multilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations. |
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