方法对比
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| 稳健的 nomological validity (鲁棒的 nomological validity)× | 验证性因子分析（CFA）× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1955 | 1969 |
| 提出者≠ | Cronbach & Meehl (seminal framework); later extended by Shadish, Cook, and Campbell | Karl Gustav Jöreskog |
| 类型≠ | Validity assessment / construct validation | Hypothesis-testing latent variable model |
| 开创性文献≠ | Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 别名 | nomological network validity, robust validity testing, nomological validity, RNV | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 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. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
| ScholarGate数据集 ↗ |
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