方法对比
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| 纵向结构效度× | 探索性因子分析（EFA）× | |
|---|---|---|
| 领域≠ | 心理测量学 | 统计学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1993–2000 | — |
| 提出者≠ | Meredith, Vandenberg, and the measurement invariance tradition | — |
| 类型≠ | Validity evaluation framework | Latent variable / dimension reduction |
| 开创性文献≠ | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| 别名≠ | longitudinal measurement validity, construct validity over time, longitudinal measurement invariance, LCV | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| 相关≠ | 5 | 4 |
| 摘要≠ | Longitudinal construct validity evaluates whether a psychological scale measures the same latent construct in the same way across multiple time points. It is tested by progressively constraining a confirmatory factor model across waves and comparing model fit, ensuring that observed change scores reflect genuine change in the underlying trait rather than measurement drift. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
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