Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Rubric Development× | Nadharia ya Ujumlishaji (G-Theory)× | |
|---|---|---|
| Nyanja≠ | Education | Saikometriki |
| Familia≠ | Process / pipeline | Latent structure |
| Mwaka wa asili≠ | 2007 | 1963–1972 |
| Mwanzilishi≠ | Performance-assessment tradition (Andrade; Arter & McTighe; Jonsson & Svingby synthesis) | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| Aina≠ | Systematic design of criterion-based scoring guides for performance | Variance-components reliability model |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala≠ | Scoring Rubric Design, Analytic and Holistic Rubrics, Performance Scoring Guides, Rubric Construction | G-theory, G-study / D-study framework, variance components reliability |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | 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. |
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