以选拔有限数量学生为目的的测试的布伦南指数的一个特例:蒙特卡洛模拟研究

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Serkan Arikan, Eren Can Aybek
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引用次数: 0

摘要

许多学者比较了真实或模拟数据中的各种项目识别指标。项目识别指标,如项目-总相关、项目-休息相关和IRT项目识别参数,提供了所有参与者之间个体差异的信息。然而,也有一些考试旨在为分配的学校和工作岗位选择数量非常有限的学生、考生或候选人。因此,当测试目的是选择有限数量的学生时,有必要评估CTT和IRT项目区分指标的表现。本蒙特卡罗研究的目的是评估在选择有限数量的高成就学生的情况下的项目歧视指标。结果表明,布伦南指数的一个特例B10-90为这个特定的测试目的提供了更准确的信息。此外,还考察了考题长度、考生能力分布、试题难度方差等因素对试题辨析指标的影响。详细讨论了各项目判别指标的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Special Case of Brennan's Index for Tests That Aim to Select a Limited Number of Students: A Monte Carlo Simulation Study

Many scholars compared various item discrimination indices in real or simulated data. Item discrimination indices, such as item-total correlation, item-rest correlation, and IRT item discrimination parameter, provide information about individual differences among all participants. However, there are tests that aim to select a very limited number of students, examinees, or candidates for allocated schools and job positions. Thus, there is a need to evaluate the performances of CTT and IRT item discrimination indices when the test purpose is to select a limited number of students. The purpose of the current Monte Carlo study is to evaluate item discrimination indices in the case of selecting a limited number of high-achieving students. The results showed that a special case of Brennan's index, B10–90, provided more accurate information for this specific test purpose. Additionally, the effects of various factors, such as test length, ability distributions of examinees, and item difficulty variance on item discrimination indices were investigated. The performance of each item discrimination index is discussed in detail.

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CiteScore
3.90
自引率
15.00%
发文量
47
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