Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Надежность при повторном тестировании (Test-Retest Reliability)× | Теория обобщаемости (G-теория)× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 1904 | 1963–1972 |
| Автор метода≠ | Karl Pearson | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| Тип≠ | Reliability estimate | Variance-components reliability model |
| Основополагающий источник≠ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 | 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≠ | stability reliability, temporal stability, repeatability coefficient, TRT reliability | G-theory, G-study / D-study framework, variance components reliability |
| Связанные | 4 | 4 |
| Сводка≠ | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. | 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 ↗ |
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