Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Rubric Development× | Теорія генералізованості (G-Theory)× | |
|---|---|---|
| Галузь≠ | Education | Психометрія |
| Родина≠ | Process / pipeline | Latent structure |
| Рік появи≠ | 2007 | 1963–1972 |
| Автор методу≠ | Performance-assessment tradition (Andrade; Arter & McTighe; Jonsson & Svingby synthesis) | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| Тип≠ | Systematic design of criterion-based scoring guides for performance | Variance-components reliability model |
| Основоположне джерело≠ | Jonsson, A., & Svingby, G. (2007). The use of scoring rubrics: Reliability, validity and educational consequences. Educational Research Review, 2(2), 130–144. DOI ↗ | 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 ↗ |
| Інші назви≠ | Scoring Rubric Design, Analytic and Holistic Rubrics, Performance Scoring Guides, Rubric Construction | G-theory, G-study / D-study framework, variance components reliability |
| Пов'язані | 4 | 4 |
| Підсумок≠ | Rubric development is the systematic design of criterion-referenced scoring guides for judging complex performance such as writing, projects, presentations, and problem solving. A rubric specifies the dimensions on which work is evaluated and describes, in ordered levels, what each degree of quality looks like. Done well — as the syntheses by Andrade and by Jonsson and Svingby show — rubrics make scoring more reliable and transparent, clarify expectations for students, and turn assessment into a tool for learning rather than merely a verdict. | 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. |
| ScholarGateНабір даних ↗ |
|
|