Detection of Known Items in Adaptive Testing with a Statistical Quality Control Method
Due to previous exposure of items in adaptive testing, items may become known to a substantial portion of examinees. A disclosed item is bound to show drift in the item parameter values. In this paper, it is suggested to use a statistical quality control method for the detection of known items. The...
| Veröffentlicht in: | Journal of Educational and Behavioral Statistics. - SAGE Publishing, 1976. - 25(2000), 4, Seite 373-389 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2000
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| Zugriff auf das übergeordnete Werk: | Journal of Educational and Behavioral Statistics |
| Schlagworte: | Computer adaptive testing CUSUM charts Differential item functioning Item response theory Parameter drift Mathematics Applied sciences Business Information science Philosophy |
| Zusammenfassung: | Due to previous exposure of items in adaptive testing, items may become known to a substantial portion of examinees. A disclosed item is bound to show drift in the item parameter values. In this paper, it is suggested to use a statistical quality control method for the detection of known items. The method is worked out in detail for the 1-PL and 3-PL models. Adaptive test data are used to re-estimate the item parameters, and these estimates are used in a test of parameter drift. The method is illustrated in a number of simulation studies, including a power study. |
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| ISSN: | 19351054 |