方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 纵向信度分析× | 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≠ | 1951–1979 | 1970s–1990s |
| 提出者≠ | Paul B. Baltes, John R. Nesselroade, Lee J. Cronbach (foundational contributors) | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s |
| 类型≠ | Reliability assessment | Longitudinal latent variable / measurement model |
| 开创性文献≠ | Baltes, P. B., & Nesselroade, J. R. (1979). History and rationale of longitudinal research. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 1–39). Academic Press. link ↗ | 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 | repeated-measures reliability, longitudinal consistency assessment, temporal reliability analysis, reliability over time | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA |
| 相关≠ | 4 | 6 |
| 摘要≠ | Longitudinal reliability analysis evaluates the consistency and stability of measurement instruments across two or more time points. It extends classical reliability concepts — internal consistency, test-retest stability, and measurement precision — to repeated-measures designs, ensuring that observed score changes reflect true change rather than measurement error. | 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 ↗ |
|
|