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| 纵向重测信度× | 纵向验证性因子分析× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1904 (test-retest); longitudinal application formalized mid-20th century | 1970s–1990s |
| 提出者≠ | Spearman, Charles; extended to longitudinal contexts by psychometric theorists | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s |
| 类型≠ | Reliability estimation / temporal stability | Longitudinal latent variable / measurement model |
| 开创性文献≠ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 | 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 ↗ |
| 别名 | longitudinal stability reliability, repeated-measurement reliability, temporal stability across waves, longitudinal retest coefficient | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA |
| 相关≠ | 3 | 6 |
| 摘要≠ | Longitudinal test-retest reliability quantifies how consistently a scale or measure performs across two or more time points in a longitudinal study. It extends the classic test-retest paradigm by accounting for planned, often substantive, time lags between waves — making it essential for validating instruments used in panel, cohort, or growth-curve research. | 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. |
| ScholarGate数据集 ↗ |
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