Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Порядковый конфирматорный факторный анализ× | Конфирматорный факторный анализ (КФА)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1984 | 1969 |
| Автор метода≠ | Bengt O. Muthén | Karl Gustav Jöreskog |
| Тип≠ | Latent variable / structural | Hypothesis-testing latent variable model |
| Основополагающий источник≠ | Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Другие названия | CFA for ordinal data, polychoric CFA, WLSMV CFA, categorical CFA | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Ordinal confirmatory factor analysis (Ordinal CFA) tests a pre-specified factor structure when the observed indicators are ordinal — typically Likert-type survey items. By using polychoric correlations and robust estimators such as WLSMV, it avoids the bias that arises from treating categorical responses as continuous. | 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. |
| ScholarGateНабор данных ↗ |
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