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Item-Focused Trees for the Detection of Differential Item Functioning in Partial Credit Models


Bollmann, Stella; Berger, Moritz; Tutz, Gerhard (2017). Item-Focused Trees for the Detection of Differential Item Functioning in Partial Credit Models. Educational and Psycological Measurement:Epub ahead of print.

Abstract

Various methods to detect differential item functioning (DIF) in item response models are available. However, most of these methods assume that the responses are binary, and so for ordered response categories available methods are scarce. In the present article, DIF in the widely used partial credit model is investigated. An item-focused tree is proposed that allows the detection of DIF items, which might affect the performance of the partial credit model. The method uses tree methodology, yielding a tree for each item that is detected as DIF item. The visualization as trees makes the results easily accessible, as the obtained trees show which variables induce DIF and in which way. In the present paper, the new method is compared with alternative approaches and simulations demonstrate the performance of the method.

Abstract

Various methods to detect differential item functioning (DIF) in item response models are available. However, most of these methods assume that the responses are binary, and so for ordered response categories available methods are scarce. In the present article, DIF in the widely used partial credit model is investigated. An item-focused tree is proposed that allows the detection of DIF items, which might affect the performance of the partial credit model. The method uses tree methodology, yielding a tree for each item that is detected as DIF item. The visualization as trees makes the results easily accessible, as the obtained trees show which variables induce DIF and in which way. In the present paper, the new method is compared with alternative approaches and simulations demonstrate the performance of the method.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Language:English
Date:2017
Deposited On:30 Jan 2018 15:46
Last Modified:19 Feb 2018 11:00
Publisher:Sage Publications Ltd.
ISSN:0013-1644
OA Status:Closed
Publisher DOI:https://doi.org/10.1177/0013164417722179

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