Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Ômega de McDonald Multi-grupo× | Teste de Invariância de Medição Multi-grupo× | |
|---|---|---|
| Área | Psicometria | Psicometria |
| Família | Latent structure | Latent structure |
| Ano de origem≠ | 1999 (multi-group extension: 2000s–2010s) | 1971–1993 |
| Autor original≠ | Roderick P. McDonald | Jöreskog, K. G. (1971); Meredith, W. (1993) |
| Tipo≠ | Reliability coefficient (multi-group extension) | Model comparison / hypothesis testing |
| Fonte seminal≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | 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 ↗ |
| Outros nomes | multi-group omega, omega across groups, group-comparative omega, MG-omega | measurement invariance, factorial invariance, cross-group invariance, MI testing |
| Relacionados≠ | 4 | 6 |
| Resumo≠ | 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 measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts. |
| ScholarGateConjunto de dados ↗ |
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