方法对比
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| 纵向验证性因子分析× | 纵向测量不变性检验× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1970s–1990s | 1993 |
| 提出者≠ | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s | William Meredith |
| 类型≠ | Longitudinal latent variable / measurement model | Measurement model testing |
| 开创性文献≠ | Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. link ↗ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ |
| 别名 | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance |
| 相关≠ | 6 | 3 |
| 摘要≠ | Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data. | Longitudinal measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument. |
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