Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Ординальний альфа Кронбаха× | Конфірматорний факторний аналіз (КФА)× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 2007 | 1969 |
| Автор методу≠ | Zumbo, Gadermann, and Zeisser | Karl Gustav Jöreskog |
| Тип≠ | Internal consistency reliability coefficient | Hypothesis-testing latent variable model |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви | alpha for ordinal data, polychoric alpha, ordinal reliability coefficient, alpha based on polychoric correlations | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Пов'язані≠ | 3 | 4 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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