方法对比
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| 短格式验证性因子分析 (SF-CFA)× | 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≠ | Building on CFA methodology (Jöreskog, 1969) applied to abbreviated scale contexts | Karl Gustav Jöreskog |
| 类型≠ | Confirmatory latent-variable model | Hypothesis-testing latent variable model |
| 开创性文献≠ | Byrne, B. M. (2008). Structural Equation Modeling with EQS: Basic Concepts, Applications, and Programming (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805841268 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 别名 | SF-CFA, abbreviated scale CFA, short-form validation, brief scale factor analysis | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 相关 | 4 | 4 |
| 摘要≠ | Short-form confirmatory factor analysis applies CFA to a reduced subset of items drawn from a longer validated scale, testing whether the abbreviated version preserves the original factor structure with acceptable model fit and reliability. It is a standard step in short-form scale development and validation. | 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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