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| 纵向麦克唐纳欧米加× | 验证性因子分析（CFA）× | 重测信度× | |
|---|---|---|---|
| 领域 | 心理测量学 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure | Latent structure |
| 起源年份≠ | 1999 (original omega); 2014 (longitudinal extension) | 1969 | 1904 |
| 提出者≠ | McDonald (1999); extended to longitudinal contexts by Geldhof, Preacher, and Zyphur (2014) and subsequent authors | Karl Gustav Jöreskog | Karl Pearson |
| 类型≠ | Reliability / internal consistency coefficient | Hypothesis-testing latent variable model | Reliability estimate |
| 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 ↗ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 |
| 别名 | longitudinal omega, omega longitudinal reliability, time-varying omega, repeated-measures omega | CFA, confirmatory FA, measurement model, restricted factor analysis | stability reliability, temporal stability, repeatability coefficient, TRT reliability |
| 相关≠ | 3 | 4 | 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. | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. |
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