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| Modèle bifactoriel (facteurs général et spécifiques)× | Alpha de Cronbach (Analyse de fiabilité)× | |
|---|---|---|
| Domaine≠ | Psychométrie | Statistique |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1937 | 1951 |
| Auteur d'origine≠ | Holzinger & Swineford (1937); modern revival by Reise (2012) | Lee J. Cronbach |
| Type≠ | Confirmatory latent variable model | Reliability / internal consistency coefficient |
| Source fondatrice≠ | Reise, S. P. (2012). The Rediscovery of Bifactor Measurement Models. Multivariate Behavioral Research, 47(5), 667–696. DOI ↗ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ |
| Alias | Bifaktör Modeli — Genel ve Spesifik Faktörler, hierarchical factor model, general-specific factor model, Schmid-Leiman model | coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha) |
| Apparentées≠ | 6 | 4 |
| Résumé≠ | The bifactor measurement model specifies that every indicator loads simultaneously on a single general factor and on one of several specific (group) factors. Formally introduced by Holzinger and Swineford in 1937 and brought into mainstream psychometrics by Reise (2012), it is now the standard tool for evaluating whether a multidimensional scale can legitimately yield a single composite score. | Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research. |
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