Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Análise Fatorial para Desenvolvimento de Escalas× | Análise Fatorial Confirmatória para Escalas× | |
|---|---|---|
| Área | Psicometria | Psicometria |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1947 | 1969 |
| Autor original≠ | Louis Thurstone | Karl G. Jöreskog |
| Tipo≠ | Exploratory factor analysis methodology | Confirmatory factor analysis methodology |
| Fonte seminal≠ | Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗ |
| Outros nomes≠ | Exploratory factor analysis, EFA for scale development, Factorial structure analysis | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling |
| Relacionados≠ | 5 | 4 |
| Resumo≠ | Exploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors. | Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy. |
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