方法对比
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| Rubric Development× | Many-Facet Rasch Measurement× | |
|---|---|---|
| 领域 | Education | Education |
| 方法族≠ | Process / pipeline | Latent structure |
| 起源年份≠ | 2007 | 1989 |
| 提出者≠ | Performance-assessment tradition (Andrade; Arter & McTighe; Jonsson & Svingby synthesis) | John Michael Linacre |
| 类型≠ | Systematic design of criterion-based scoring guides for performance | Rasch model extension adding rater and other facets to person and item |
| 开创性文献≠ | Jonsson, A., & Svingby, G. (2007). The use of scoring rubrics: Reliability, validity and educational consequences. Educational Research Review, 2(2), 130–144. DOI ↗ | Linacre, J. M. (1989). Many-Facet Rasch Measurement. MESA Press. ISBN: 9780941938020 |
| 别名 | Scoring Rubric Design, Analytic and Holistic Rubrics, Performance Scoring Guides, Rubric Construction | MFRM, Many-Faceted Rasch Model, Facets Model, Linacre Facets Model |
| 相关 | 4 | 4 |
| 摘要≠ | 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. | Many-facet Rasch measurement (MFRM) extends the basic Rasch model to assessments mediated by raters. Beyond examinee ability and item difficulty, it adds explicit parameters for rater severity and for any other facet of the rating situation — task, occasion, rating criterion — placing them all on one common logit scale. Developed by John Michael Linacre, MFRM lets analysts estimate and adjust for the fact that some raters are systematically harsh and others lenient, producing 'fair' ability estimates that do not penalize an examinee for happening to draw a severe judge. |
| ScholarGate数据集 ↗ |
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