A Comparison of Aggregation Rules for Selecting Anchor Items in Multigroup DIF Analysis
| Autor: | Thorben Huelmann, Carolin Strobl, Rudolf Debelak |
|---|---|
| Přispěvatelé: | University of Zurich |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Anchoring computer.software_genre 3202 Applied Psychology Education Constant false alarm rate 0504 sociology Developmental and Educational Psychology Applied Psychology 3204 Developmental and Educational Psychology Rasch model 10093 Institute of Psychology Item analysis Direct method 05 social sciences 050401 social sciences methods 050301 education Differential item functioning 3201 Psychology (miscellaneous) Hit rate Psychology (miscellaneous) Selection method Data mining 150 Psychology 0503 education computer 3304 Education |
| Zdroj: | Journal of Educational Measurement. 57:185-215 |
| ISSN: | 1745-3984 0022-0655 |
| DOI: | 10.1111/jedm.12246 |
| Popis: | This study addresses the topic of how anchoring methods for differential item functioning (DIF) analysis can be used in multigroup scenarios. The direct approach would be to combine anchoring methods developed for two‐group scenarios with multigroup DIF‐detection methods. Alternatively, multiple tests could be carried out. The results of these tests need to be aggregated to determine the anchor for the final DIF analysis. In this study, the direct approach and three aggregation rules are investigated. All approaches are combined with a variety of anchoring methods, such as the “all‐other purified” and “mean p‐value threshold” methods, in two simulation studies based on the Rasch model. Our results indicate that the direct approach generally does not lead to more accurate or even to inferior results than the aggregation rules. The min rule overall shows the best trade‐off between low false alarm rate and medium to high hit rate. However, it might be too sensitive when the number of groups is large. In this case, the all rule may be a good compromise. We also take a closer look at the anchor selection method “next candidate,” which performed rather poorly, and suggest possible improvements. |
| Databáze: | OpenAIRE |
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