Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Надійна номологічна валідність× | Конвергентна валідність× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1955 | 1959 |
| Автор методу≠ | 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 |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви≠ | nomological network validity, robust validity testing, nomological validity, RNV | convergent construct validity, convergence validity, AVE-based convergent validity |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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