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Book Chapter: Differential Item Functioning in Diagnostic Classification Models
Title | Differential Item Functioning in Diagnostic Classification Models |
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Authors | |
Keywords | Differential item functioning Scale purification DIF-free-then-DIF strategy Mantel-Haenszel method |
Issue Date | 2019 |
Publisher | Springer. |
Citation | Differential Item Functioning in Diagnostic Classification Models. In von Davier, M and Lee, YS (Eds.), Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages, p. 379-393. Cham, Switzerland: Springer, 2019 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/273358 |
ISBN | |
ISSN | |
Series/Report no. | Methodology of Educational Measurement and Assessment |
DC Field | Value | Language |
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dc.contributor.author | Qiu, X | - |
dc.contributor.author | Li, X | - |
dc.contributor.author | Wang, W | - |
dc.date.accessioned | 2019-08-06T09:27:24Z | - |
dc.date.available | 2019-08-06T09:27:24Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Differential Item Functioning in Diagnostic Classification Models. In von Davier, M and Lee, YS (Eds.), Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages, p. 379-393. Cham, Switzerland: Springer, 2019 | - |
dc.identifier.isbn | 9783030055837 | - |
dc.identifier.issn | 2367-170X | - |
dc.identifier.uri | http://hdl.handle.net/10722/273358 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | Springer. | - |
dc.relation.ispartof | Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages | - |
dc.relation.ispartofseries | Methodology of Educational Measurement and Assessment | - |
dc.subject | Differential item functioning | - |
dc.subject | Scale purification | - |
dc.subject | DIF-free-then-DIF strategy | - |
dc.subject | Mantel-Haenszel method | - |
dc.title | Differential Item Functioning in Diagnostic Classification Models | - |
dc.type | Book_Chapter | - |
dc.identifier.email | Qiu, X: xlqiu@hku.hk | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-3-030-05584-4_18 | - |
dc.identifier.hkuros | 300629 | - |
dc.identifier.spage | 379 | - |
dc.identifier.epage | 393 | - |
dc.identifier.eissn | 2367-1718 | - |
dc.publisher.place | Cham, Switzerland | - |
dc.identifier.issnl | 2367-1718 | - |