Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Надежность для порядковых данных× | Эксплораторный факторный анализ (ЭФА)× | |
|---|---|---|
| Область≠ | Психометрия | Статистика |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 2007 | — |
| Автор метода≠ | Bruno D. Zumbo and colleagues | — |
| Тип≠ | Internal consistency reliability estimation | Latent variable / dimension reduction |
| Основополагающий источник≠ | Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Другие названия≠ | ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Ordinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateНабор данных ↗ |
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