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| McDonald's Omega 简版× | 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 (omega); short-form application 1990s–2000s | 1969 |
| 提出者≠ | Roderick P. McDonald (omega); short-form application systematised across psychometric literature | Karl Gustav Jöreskog |
| 类型≠ | Reliability coefficient for abbreviated scales | Hypothesis-testing latent variable model |
| 开创性文献≠ | McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 别名 | omega for abbreviated scales, short-scale omega, omega-total short form, abbreviated scale reliability | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 相关 | 4 | 4 |
| 摘要≠ | Short-form McDonald's omega applies the omega reliability coefficient to abbreviated or shortened versions of psychological scales. It provides a theoretically sound reliability estimate that accounts for the multidimensional structure of the short instrument, enabling researchers to evaluate whether abbreviation has preserved the reliability of the original full-length scale. | 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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