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| Фази АНОВА (Fuzzy ANOVA)× | Методология на пространството от правила× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 2011 | 1983 |
| Създател≠ | Reinhard Viertl | Kikumi K. Tatsuoka |
| Тип≠ | Analysis of variance for fuzzy data | IRT-based diagnostic classification |
| Основополагащ източник≠ | Viertl, R. (2011). Statistical Methods for Fuzzy Data. Wiley. ISBN: 9780470664802 | Hartz, S. M. (2002). A Bayesian framework for the unified treatment of assessing dimensionality, assessing local dependence, and estimating ability for unidimensional and multidimensional item response data. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign. link ↗ |
| Други названия≠ | — | RSM |
| Свързани≠ | 4 | 5 |
| Резюме≠ | Fuzzy ANOVA extends classical analysis of variance to fuzzy data where observations and group memberships are imprecise or uncertain. Developed by Viertl and others, Fuzzy ANOVA tests whether fuzzy-valued groups differ significantly while accounting for inherent measurement uncertainty. | Rule Space Methodology (RSM) is a diagnostic classification approach developed by Tatsuoka (1983) that uses Item Response Theory and geometric methods to classify examinees into knowledge states based on their response patterns. Unlike classical scoring, RSM identifies which specific skills or competencies an examinee possesses or lacks, enabling targeted educational interventions. |
| ScholarGateНабор от данни ↗ |
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