方法对比
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| 简短量表重测信度× | 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≠ | 1990s–2000s | 1969 |
| 提出者≠ | Derived from classical test-retest reliability; short-form methodology formalised by Smith, McCarthy & Anderson (2000) among others | Karl Gustav Jöreskog |
| 类型≠ | Reliability estimation | Hypothesis-testing latent variable model |
| 开创性文献≠ | Smith, G. T., McCarthy, D. M., & Anderson, K. G. (2000). On the sins of short-form development. Psychological Assessment, 12(1), 102–111. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 别名 | abbreviated scale temporal stability, short-form temporal consistency, retest reliability of short forms, SF test-retest | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 相关 | 4 | 4 |
| 摘要≠ | Short-form test-retest reliability quantifies how consistently an abbreviated version of a measurement instrument produces the same scores across two administrations separated by a defined time interval. It is a critical validation step whenever a full-length scale is shortened for practical use, confirming that item reduction has not degraded temporal stability. | 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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