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。
| 序数 法则 效度× | 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 (concept); ordinal application 1990s–present | 1969 |
| 提出者≠ | Cronbach & Meehl (nomological network concept); ordinal extension in modern psychometrics | Karl Gustav Jöreskog |
| 类型≠ | Validity assessment | 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 validity for ordinal data, ordinal nomological network, construct network validity (ordinal), ordinal criterion-related validity | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 相关≠ | 5 | 4 |
| 摘要≠ | Ordinal nomological validity examines whether a construct measured with ordinal items (e.g., Likert-type scales) behaves in theoretically predicted ways within a nomological network — a web of expected relationships with other constructs and criteria — using methods suited to ordinal data rather than assuming continuous measurement. | 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 ↗ |
|
|