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Differential item functioning in diagnostic classification models
Qiu, Xue-Lan Li, Xiaomin Wang, Wen-Chung
Qiu, Xue-Lan
Li, Xiaomin
Wang, Wen-Chung
Abstract
Assessment of differential item functioning (DIF) in diagnostic classification models (DCMs) has begun to attract research attention. In previous studies, authors found that DIF detection in DCMs appeared to be very powerful even when most or all the items on the studied test had DIF and no scale purification was necessary. This surprisingly good result was built on studies that made the unrealistic assumption of equality of the model and the Q-matrix across groups. The present study clarifies these weaknesses in previous studies, identifies various types of DIF, and proposes new DIF detection methods that are powerful in detecting DIF in DCMs. An illustrative simulation study was conducted to demonstrate the feasibility and advantages of the new methods. Finally, conclusions and suggestions for future studies are provided.
Keywords
differential item functioning, scale purification, DIF-free-then-DIF strategy, Mantel-Haenszel method
Date
2019
Type
Book chapter
Journal
Book
Handbook of diagnostic classification models : Models and model extensions, applications, software packages
Volume
Issue
Page Range
379-393
Article Number
ACU Department
Institute for Learning Sciences and Teacher Education (ILSTE)
Faculty of Education and Arts
Faculty of Education and Arts
Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled