Using Statistical Procedures to Identify Differentially Functioning Test Items
Using Statistical Procedures to Identify Differentially Functioning Test Items
复制标题
使用统计程序来识别功能差异的测试项目
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
K. Mazor
中科院分区：
文献类型：
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作者：
B. Clauser;K. Mazor
本模块旨在帮助读者准备使用统计程序来检测功能差异的测试项目。7 b提供了背景，区分项目功能差异（DIF）从项目和测试的偏见，并在整个测试开发过程中的DIF筛选的重要性进行了讨论。Mantel-Haenszel统计，逻辑回归，SIBTES 'r，标准化程序，以及各种基于IRT的方法。对于这些过程中的每一个，提出了理论框架，该方法的相对优势和劣势突出，并提供指导，解释所产生的统计指数。为了使从业者适当地实施这些程序，需要做出许多技术决定。这些决定进行了详细讨论，是必要的政策决定，以实现一个操作的DIF检测程序。该模块还包括一个注释的参考书目和自我测试。
This module is intended to prepare the reader to use statistical proce dures to detect differentially functioning test items. 7b provide back ground, differential item functioning (DIF) is distinguished from item and test bias, and the importance of DIF screening within the overall test development process is discussed. The Mantel-Haenszel statistic, logistic regression, SIBTES'r, the Standardization procedure, and various IRT-based approaches are presented. For each of these proce dures, the theoretical framework is presented, the relative strengths and weaknesses of the method are highlighted, and guidance is pro vided for interpretation of the resulting statistical indices. Numerous technical decisions are required in order for the practitioner to appro priately implement these procedures. These decisions are discussed in some detail, as are the policy decisions necessary to implement an op erational DIF detection program. The module also includes an anno tated bibliography and a self-test.