Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Эквивалентирование тестов× | Теория обобщаемости (G-теория)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1984 (modern statistical treatment) | 1963–1972 |
| Автор метода≠ | Kolen & Brennan (foundational treatise, 2004/2014); Holland & Dorans (2006) | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| Тип≠ | Score transformation / latent-scale calibration | Variance-components reliability model |
| Основополагающий источник≠ | Kolen, M.J. & Brennan, R.L. (2014). Test Equating, Scaling, and Linking: Methods and Practices (3rd ed.). Springer. ISBN: 978-1-4939-0316-6 | 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 ↗ |
| Другие названия≠ | Test Eşitleme (Test Equating), score equating, equipercentile equating, IRT true-score equating | G-theory, G-study / D-study framework, variance components reliability |
| Связанные | 4 | 4 |
| Сводка≠ | Test equating is a family of statistical methods that converts scores earned on one test form onto the score scale of another form, so that scores from different administrations or versions can be compared and reported on a common metric. The foundational modern treatment is Kolen and Brennan (2004/2014); Holland and Dorans (2006) provide the authoritative chapter-length overview within the field of educational measurement. | 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. |
| ScholarGateНабор данных ↗ |
|
|