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| 纵向麦克唐纳欧米加× | 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≠ | 1999 (original omega); 2014 (longitudinal extension) | 1969 |
| 提出者≠ | McDonald (1999); extended to longitudinal contexts by Geldhof, Preacher, and Zyphur (2014) and subsequent authors | Karl Gustav Jöreskog |
| 类型≠ | Reliability / internal consistency coefficient | Hypothesis-testing latent variable model |
| 开创性文献≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830(textbook) | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 别名 | longitudinal omega, omega longitudinal reliability, time-varying omega, repeated-measures omega | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 相关≠ | 3 | 4 |
| 摘要≠ | Longitudinal McDonald's omega estimates scale reliability separately at each measurement occasion in a panel or repeated-measures study. By fitting a confirmatory factor model at each wave, it tracks how consistently a set of items measures its target construct over time, detecting erosion or improvement in measurement quality that a single omnibus reliability coefficient would obscure. | 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. |
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