Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Teste de Invariância de Medição Multi-grupo× | Análise Fatorial Exploratória (AFE)× | |
|---|---|---|
| Área≠ | Psicometria | Estatística |
| Família | Latent structure | Latent structure |
| Ano de origem≠ | 1971–1993 | — |
| Autor original≠ | Jöreskog, K. G. (1971); Meredith, W. (1993) | — |
| Tipo≠ | Model comparison / hypothesis testing | Latent variable / dimension reduction |
| Fonte seminal≠ | 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 ↗ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Outros nomes≠ | measurement invariance, factorial invariance, cross-group invariance, MI testing | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Relacionados≠ | 6 | 4 |
| Resumo≠ | 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. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateConjunto de dados ↗ |
|
|