Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Надежная penjelasan валидность× | Конвергентная валидность× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1955 | 1959 |
| Автор метода≠ | Cronbach & Meehl (seminal framework); later extended by Shadish, Cook, and Campbell | Donald T. Campbell & Donald W. Fiske |
| Тип≠ | Validity assessment / construct validation | Validity evidence / construct validation |
| Основополагающий источник≠ | Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. 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≠ | nomological network validity, robust validity testing, nomological validity, RNV | convergent construct validity, convergence validity, AVE-based convergent validity |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Robust nomological validity evaluates whether a psychological construct relates to theoretically expected variables in the predicted directions, using statistically robust estimation methods that remain trustworthy when distributional assumptions are violated. It tests the construct's place within its nomological network — the web of theoretical relationships that define its meaning. | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
| ScholarGateНабор данных ↗ |
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