方法对比
并排查看您选择的方法;存在差异的行会高亮显示。
| 稳健的 nomological validity (鲁棒的 nomological validity)× | 聚合效度× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1955 | 1959 |
| 提出者≠ | Cronbach & Meehl (seminal framework); later extended by Shadish, Cook, and Campbell | Donald T. Campbell & Donald W. Fiske |
| 类型≠ | Validity assessment / construct validation | Validity evidence / construct validation |
| 开创性文献≠ | 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 ↗ |
| 别名≠ | nomological network validity, robust validity testing, nomological validity, RNV | convergent construct validity, convergence validity, AVE-based convergent validity |
| 相关≠ | 5 | 4 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|