Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Порядковая Альфа Кронбаха× | Конфирматорный факторный анализ (КФА)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 2007 | 1969 |
| Автор метода≠ | Zumbo, Gadermann, and Zeisser | Karl Gustav Jöreskog |
| Тип≠ | Internal consistency reliability coefficient | Hypothesis-testing latent variable model |
| Основополагающий источник≠ | Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Другие названия | alpha for ordinal data, polychoric alpha, ordinal reliability coefficient, alpha based on polychoric correlations | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Связанные≠ | 3 | 4 |
| Сводка≠ | Ordinal Cronbach's alpha is a reliability coefficient computed from polychoric or polyserial correlations rather than Pearson correlations, making it appropriate for Likert-type and other ordinal item response data. It corrects the systematic downward bias that standard Cronbach's alpha produces when items are treated as continuous but are actually ordinal. | 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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