Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise Fatorial Confirmatória (AFC)× | Validade Convergente× | |
|---|---|---|
| Área | Psicometria | Psicometria |
| Família | Latent structure | Latent structure |
| Ano de origem≠ | 1969 | 1959 |
| Autor original≠ | Karl Gustav Jöreskog | Donald T. Campbell & Donald W. Fiske |
| Tipo≠ | Hypothesis-testing latent variable model | Validity evidence / construct validation |
| Fonte seminal≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| Outros nomes≠ | CFA, confirmatory FA, measurement model, restricted factor analysis | convergent construct validity, convergence validity, AVE-based convergent validity |
| Relacionados | 4 | 4 |
| Resumo≠ | 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. | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
| ScholarGateConjunto de dados ↗ |
|
|