文章基本信息

标题：deltaPlotR: An R Package for Differential Item Functioning Analysis with Angoff's Delta Plot
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作者：David Magis ; Bruno Facon
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2014
卷号：59
期号：1
页码：1-19
语种：English
出版社：University of California, Los Angeles
摘要：Angoff's delta plot is a straightforward and not computationally intensive method to identify differential item functioning (DIF) among dichotomously scored items. This approach was recently improved by proposing an optimal threshold selection and by considering several item purification processes. Moreover, to support practical DIF analyses with the delta plot and these improvements, the R package deltaPlotR was also developed. The purpose of this paper is twofold: to outline the delta plot by describing the original method and its recent improvements in a user-oriented way, and to illustrate the structure and performances of the deltaPlotR package. A real data set about language skill assessment is being analyzed as an illustrative example.