方法对比

	纵向克朗巴赫系数 (Longitudinal Cronbach's Alpha)	概化理论（G-Theory）
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	1963–1972
提出者	Lee J. Cronbach (alpha); longitudinal extension formalised in scale validation literature from 1980s onward	Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam
类型	Reliability estimation across time	Variance-components reliability model
开创性文献	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.	Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley.
别名	repeated-measures alpha, longitudinal internal consistency, wave-specific Cronbach's alpha, time-point reliability estimation	G-theory, G-study / D-study framework, variance components reliability
相关	4	4
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.	Generalizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions.