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| Ординална дискриминантна валидност× | Ординална експлораторна факторна анализа× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 1959 (concept); 2000s–2010s (ordinal adaptations) | 1978–1984 |
| Създател≠ | Campbell & Fiske (discriminant validity concept); adapted for ordinal data by subsequent psychometricians | Bengt Muthén |
| Тип≠ | Validity assessment | Latent variable / dimension reduction |
| Основополагащ източник≠ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ | 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 ↗ |
| Други названия | discriminant validity for ordinal data, polychoric discriminant validity, ordinal HTMT, ordinal AVE-based discriminant validity | ordinal factor analysis, polychoric EFA, categorical EFA, EFA for ordinal data |
| Свързани≠ | 6 | 5 |
| Резюме≠ | Ordinal discriminant validity assesses whether a latent construct measured by ordinal (Likert-type) items is empirically distinct from other constructs in the same instrument. It applies polychoric correlations and ordinal-appropriate factor loadings to standard discriminant validity criteria such as the Fornell-Larcker rule and the Heterotrait-Monotrait ratio (HTMT), ensuring that validity conclusions are not distorted by the non-continuous nature of ordered-response data. | Ordinal exploratory factor analysis discovers latent factors underlying a set of ordinal items — typically Likert scales — by computing polychoric correlations among the items and then applying a weighted least squares estimator. It avoids the distortions that arise when continuous EFA methods are naively applied to ordered categorical responses. |
| ScholarGateНабор от данни ↗ |
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