Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Ординатная дискриминантная валидность× | Дискриминантная валидность× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1959 (concept); 2000s–2010s (ordinal adaptations) | 1959 |
| Автор метода≠ | Campbell & Fiske (discriminant validity concept); adapted for ordinal data by subsequent psychometricians | Donald T. Campbell and Donald W. Fiske |
| Тип≠ | Validity assessment | Validity evidence / psychometric evaluation |
| Основополагающий источник | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| Другие названия | discriminant validity for ordinal data, polychoric discriminant validity, ordinal HTMT, ordinal AVE-based discriminant validity | discriminant validity evidence, divergent validity, DV, AVE-based discriminant validity |
| Связанные≠ | 6 | 5 |
| Сводка≠ | 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. | Discriminant validity is evidence that a latent construct is empirically distinct from other constructs it should differ from. Originating in Campbell and Fiske's multitrait-multimethod framework (1959), it is a core component of construct validity and a mandatory check in scale development and structural equation modeling. |
| ScholarGateНабор данных ↗ |
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