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| Устойчив Раш модел× | Диференциално функциониране на задачите (DIF)× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 1982 | 1970s–1993 |
| Създател≠ | Mislevy & Bock (robust ability estimation); broader robust IRT formalized through 1980s–2000s | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| Тип≠ | Robust item calibration model | Item-level bias detection |
| Основополагащ източник≠ | Strobl, C., Wickelmaier, F., & Zeileis, A. (2011). Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. Journal of Educational and Behavioral Statistics, 36(2), 135–153. DOI ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| Други названия | robust IRT Rasch, robust dichotomous Rasch, outlier-resistant Rasch model, robust item calibration | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| Свързани | 5 | 5 |
| Резюме≠ | The robust Rasch model applies the standard one-parameter logistic Rasch framework with estimation procedures designed to limit the influence of outlying item responses, aberrant respondents, or mild model violations, producing stable item and person parameter estimates that are less sensitive to data contamination than ordinary maximum likelihood or conditional maximum likelihood Rasch estimation. | Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development. |
| ScholarGateНабор от данни ↗ |
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