Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Конвергентная валидность для компьютеризированных адаптивных тестов× | Дискриминантная валидность× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1989–2000 | 1959 |
| Автор метода≠ | Samuel Messick (validity framework); Wainer and colleagues (CAT context) | Donald T. Campbell and Donald W. Fiske |
| Тип≠ | Validity evidence / construct validation | Validity evidence / psychometric evaluation |
| Основополагающий источник≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | 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 | CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT | discriminant validity evidence, divergent validity, DV, AVE-based discriminant validity |
| Связанные | 5 | 5 |
| Сводка≠ | Convergent validity assessment for computerized adaptive tests (CATs) examines whether the ability or trait estimates produced by an adaptive algorithm correlate substantially with scores from other measures of the same construct. Because each examinee receives a different subset of items in a CAT, demonstrating that the resulting scores still converge with theoretically related external measures is a critical step in establishing construct validity evidence. | 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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