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摘要翻译：
计量专业人员不能就术语“项目公平性”的定义达成一致。本文提出了一种项目不公平性的连续度量方法。不公平度量越偏离零，项目就越不公平。如果度量值超过截止值，则该项目被确定为不公平。新方法可以识别不公平的项目，而传统程序不会识别这些项目。结果与专家对项目质量的判断是一致的。因为没有关于分数分布和/或相关性的假设，所以该方法适用于任何教育考试。通过对一个实际测试成绩的应用，说明了该方法的性能。
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英文标题：
《Unfair items detection in educational measurement》
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作者：
Yefim Bakman
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最新提交年份：
2012
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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一级分类：Physics 物理学
二级分类：Physics Education 物理教育
分类描述：Report of results of a research study, laboratory experience, assessment or classroom practice that represents a way to improve teaching and learning in physics. Also, report on misconceptions of students, textbook errors, and other similar information relative to promoting physics understanding.
一项研究、实验室经验、评估或课堂实践的结果报告，它代表了一种改进物理教与学的方法。此外，报告学生的误解，教科书错误，以及其他与促进物理理解有关的类似信息。
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英文摘要：
Measurement professionals cannot come to an agreement on the definition of the term 'item fairness'. In this paper a continuous measure of item unfairness is proposed. The more the unfairness measure deviates from zero, the less fair the item is. If the measure exceeds the cutoff value, the item is identified as definitely unfair. The new approach can identify unfair items that would not be identified with conventional procedures. The results are in accord with experts' judgments on the item qualities. Since no assumptions about scores distributions and/or correlations are assumed, the method is applicable to any educational test. Its performance is illustrated through application to scores of a real test.
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PDF链接：
https://arxiv.org/pdf/1205.3380
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