دورية أكاديمية
A Residual-Based Differential Item Functioning Detection Framework in Item Response Theory
| العنوان: | A Residual-Based Differential Item Functioning Detection Framework in Item Response Theory |
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| اللغة: | English |
| المؤلفون: | Lim, Hwanggyu, Choe, Edison M., Han, Kyung T. |
| المصدر: | Journal of Educational Measurement. Spr 2022 59(1):80-104. |
| الإتاحة: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 25 |
| تاريخ النشر: | 2022 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Descriptors: | Test Items, Item Response Theory, Identification, Robustness (Statistics), Simulation, Regression (Statistics), Standards |
| DOI: | 10.1111/jedm.12313 |
| تدمد: | 0022-0655 |
| مستخلص: | Differential item functioning (DIF) of test items should be evaluated using practical methods that can produce accurate and useful results. Among a plethora of DIF detection techniques, we introduce the new "Residual DIF" (RDIF) framework, which stands out for its accessibility without sacrificing efficacy. This framework consists of three item response theory (IRT) residual statistics: RDIF[subscript R], RDIF[subscript S], and RDIF[subscript RS]. We conducted a simulation study with a 40-item test to assess the performance of RDIF in comparison with the Mantel-Haenszel, logistic regression, and IRT-based likelihood ratio test methods. Even when analyzing small sample sizes, the results revealed RDIF[subscript RS] to be the most robust DIF detection statistic with strict control of Type I error across all simulated conditions when paired with the purification procedure. Also, RDIF[subscript R] and RDIF[subscript S] proved to be powerful indicators of uniform and nonuniform DIF, respectively. Therefore, RDIF[subscript RS] should serve as the primary flagging criterion, whereas RDIF[subscript R] and RDIF[subscript S] best serve as indicators of DIF type. An empirical DIF study also showed that the RDIF framework could perform satisfactorily with real data from a large-scale assessment. Overall, the RDIF framework demonstrated its potential as a new standard for IRT-based DIF detection methodology. |
| Abstractor: | As Provided |
| Entry Date: | 2022 |
| رقم الأكسشن: | EJ1333037 |
| قاعدة البيانات: | ERIC |
Full Text Finder | تدمد: | 0022-0655 |
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| DOI: | 10.1111/jedm.12313 |