Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Oméga de McDonald multi-groupes× | Alpha de Cronbach multi-groupes× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1999 (multi-group extension: 2000s–2010s) | 1951 (alpha); multi-group application from 1980s onward |
| Auteur d'origine≠ | Roderick P. McDonald | Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research |
| Type≠ | Reliability coefficient (multi-group extension) | Reliability / internal consistency comparison |
| Source fondatrice≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ |
| Alias | multi-group omega, omega across groups, group-comparative omega, MG-omega | group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha |
| Apparentées | 4 | 4 |
| Résumé≠ | Multi-group McDonald's omega estimates and compares the reliability of a scale across two or more distinct groups. Rooted in confirmatory factor analysis, it uses the factor loadings and unique variances from each group's measurement model to compute omega, then tests whether reliability is statistically equivalent across groups. | Multi-group Cronbach's alpha estimates and compares the internal consistency reliability of a scale separately within each of two or more defined subgroups. It is used in cross-cultural, demographic, and comparative psychometric research to establish that a scale measures its construct with equivalent precision across groups before making cross-group comparisons. |
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