Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Ômega de McDonald Multi-grupo× | Análise Fatorial Confirmatória (AFC)× | |
|---|---|---|
| Área | Psicometria | Psicometria |
| Família | Latent structure | Latent structure |
| Ano de origem≠ | 1999 (multi-group extension: 2000s–2010s) | 1969 |
| Autor original≠ | Roderick P. McDonald | Karl Gustav Jöreskog |
| Tipo≠ | Reliability coefficient (multi-group extension) | Hypothesis-testing latent variable model |
| Fonte seminal≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Outros nomes | multi-group omega, omega across groups, group-comparative omega, MG-omega | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Relacionados | 4 | 4 |
| 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. | 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. |
| ScholarGateConjunto de dados ↗ |
|
|