Recent advances in analysis of differential item functioning in health research using the Rasch model.
Recent advances in analysis of differential item functioning in health research using the Rasch model.
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DOI：
10.1186/s12955-017-0755-0
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发表时间：
2017-09-19
影响因子：
3.6
通讯作者：
Andrich D
中科院分区：
文献类型：
--
作者：
Hagquist C;Andrich D
Rasch分析的重点是差异项目功能（DIF）越来越多地用于检查健康结果的心理测量特性的措施。为了考虑DIF以保持测量精度，将DIF项目拆分为单独的样本特定项目已成为常用的技术。本文的目的是介绍和总结DIF分析的统一方法的最新进展。特别是，本文侧重于使用方差分析（ANOVA）作为一种方法，同时检测均匀和非均匀的DIF，区分真实的和人工DIF之间的需要和可靠性和有效性之间的权衡。健康研究中的一个说明性例子被用来说明如何使用Rasch模型来确定、量化和在特定情况下说明DIF，在这种情况下是性别之间的DIF。使用1985-2014年期间收集的9年级学生学龄儿童健康行为研究的瑞典数据，对身心问题的综合指标进行了DIF的Rasch分析。该程序演示了如何DIF可以有效地确定残差的方差分析，以及如何DIF的大小可以量化，并可能占解决项目根据可识别的组和使用的原则，测试等同的解决项目。分析结果还表明，某些项目的真实的DIF确实影响个人测量估计。首先，为了区分真实的和人为的DIF，最初显示DIF的项目不应该同时解决，而是顺序解决。其次，虽然解决而不是删除DIF项目可以保持可靠性，但这两个选项都可能对内容有效性产生负面影响。如果DIF的来源与变量的内容相关，则使用DIF解决项目是不合理的;然后解决DIF可能会降低工具的有效性。一般来说，关于解决与家庭综合发展问题有关的项目的决定也应依靠外部信息。
Rasch analysis with a focus on Differential Item Functioning (DIF) is increasingly used for examination of psychometric properties of health outcome measures. To take account of DIF in order to retain precision of measurement, split of DIF-items into separate sample specific items has become a frequently used technique. The purpose of the paper is to present and summarise recent advances of analysis of DIF in a unified methodology. In particular, the paper focuses on the use of analysis of variance (ANOVA) as a method to simultaneously detect uniform and non-uniform DIF, the need to distinguish between real and artificial DIF and the trade-off between reliability and validity. An illustrative example from health research is used to demonstrate how DIF, in this case between genders, can be identified, quantified and under specific circumstances accounted for using the Rasch model. Rasch analyses of DIF were conducted of a composite measure of psychosomatic problems using Swedish data from the Health Behaviour in School-aged Children study for grade 9 students collected during the 1985–2014 time periods. The procedures demonstrate how DIF can be identified efficiently by ANOVA of residuals, and how the magnitude of DIF can be quantified and potentially accounted for by resolving items according to identifiable groups and using principles of test equating on the resolved items. The results of the analysis also show that the real DIF in some items does affect person measurement estimates. Firstly, in order to distinguish between real and artificial DIF, the items showing DIF initially should not be resolved simultaneously but sequentially. Secondly, while resolving instead of deleting a DIF item may retain reliability, both options may affect the content validity negatively. Resolving items with DIF is not justified if the source of the DIF is relevant for the content of the variable; then resolving DIF may deteriorate the validity of the instrument. Generally, decisions on resolving items to deal with DIF should also rely on external information.
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影响因子：
4.3
作者：
Hagquist, C;Andrich, D
通讯作者：
Andrich, D
影响因子：
3.5
作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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