Article (Scientific journals)
Identification of differential item functioning in multiple-group settings: A multivariate outlier detection approach
Magis, David; De Boeck, Paul
2011In Multivariate Behavioral Research, 46, p. 733-755
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Keywords :
Differential item functioning; Multiple groups; Multivariate outlier; Mahalnobis distance; Robust statistics
Abstract :
[en] This paper focuses on the identification of differential item functioning (DIF) when more than two groups of examinees are considered. We propose to consider items as elements of a multivariate space, where DIF items are outlying elements. Following this approach, the situation of multiple groups is a quite natural case. A robust statistics technique is proposed to identify DIF items as outliers in the multivariate space. For low dimensionalities, up to two three groups, also a simple graphical tool is derived. We illustrate our approach with a re-analysis of data from Kim, Cohen, and Park (1995) on using calculators for a mathematics test.
Disciplines :
Mathematics
Author, co-author :
Magis, David ;  Université de Liège - ULiège > Département de mathématique > Statistique mathématique
De Boeck, Paul
Language :
English
Title :
Identification of differential item functioning in multiple-group settings: A multivariate outlier detection approach
Publication date :
2011
Journal title :
Multivariate Behavioral Research
ISSN :
0027-3171
eISSN :
1532-7906
Publisher :
Lawrence Erlbaum Associates, Inc.
Volume :
46
Pages :
733-755
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 18 May 2011

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