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| 纵向克朗巴赫系数 (Longitudinal Cronbach's Alpha)× | 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 (alpha); longitudinal application systematised ca. 1990s–2000s | 1970s–1990s |
| 提出者≠ | Lee J. Cronbach (alpha); longitudinal extension formalised in scale validation literature from 1980s onward | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s |
| 类型≠ | Reliability estimation across time | Longitudinal latent variable / measurement model |
| 开创性文献≠ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ | 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 alpha, longitudinal internal consistency, wave-specific Cronbach's alpha, time-point reliability estimation | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA |
| 相关≠ | 4 | 6 |
| 摘要≠ | Longitudinal Cronbach's alpha assesses the internal consistency reliability of a scale at each wave of a repeated-measures study and examines whether that reliability remains stable across time. It is an essential step in longitudinal scale validation, ensuring that a scale measures its construct with consistent precision at every measurement occasion. | 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. |
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