方法对比
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| 短式概化理论× | 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≠ | 1963–1972 (G-theory); short-form extension ongoing from 1980s | 1963–1972 |
| 提出者 | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| 类型≠ | Reliability / decision-study framework | Variance-components reliability model |
| 开创性文献≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley. link ↗ |
| 别名≠ | G-theory for abbreviated scales, short-form G-study, abbreviated test generalizability, short-form D-study | G-theory, G-study / D-study framework, variance components reliability |
| 相关≠ | 5 | 4 |
| 摘要≠ | Short form generalizability theory applies the G-theory variance-component framework to abbreviated measurement instruments, using G-studies and D-studies to estimate how many items a short scale must retain to achieve a desired reliability and to evaluate the accuracy of decisions made with a condensed instrument. | 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. |
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