检测考生对项目预知识的方法比较

IF 1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Xi Wang, Yang Liu, F. Robin, Hongwen Guo
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引用次数: 7

摘要

在按需测试程序中,有些项目会在测试管理中重复使用。这对测试安全性构成了风险。在这项研究中,我们考虑了一种场景,其中测试被分为两个子集:一个子集由安全项目组成,另一个子集可能由受损项目组成。在一项多阶段自适应测试的模拟研究中,我们使用了三种方法来检测项目先验知识:预测检验方法(PCM)、似然比测试(LRT)和自适应Kullback–Leibler散度(KLD-a)测试。我们操纵了四个因素:受损项目的比例、存在先验知识的自适应测试阶段、项目参数估计误差以及安全项目中包含的信息。I型误差结果表明,LRT和PCM方法比KLD-A方法更受青睐,因为KLD-A在许多条件下都会经历较大的I型膨胀误差。关于功率,LRT和PCM方法显示了广泛的结果,通常从0.2到0.8,这取决于预知识的数量和存在预知识的自适应测试阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparison of Methods for Detecting Examinee Preknowledge of Items
In an on-demand testing program, some items are repeatedly used across test administrations. This poses a risk to test security. In this study, we considered a scenario wherein a test was divided into two subsets: one consisting of secure items and the other consisting of possibly compromised items. In a simulation study of multistage adaptive testing, we used three methods to detect item preknowledge: a predictive checking method (PCM), a likelihood ratio test (LRT), and an adapted Kullback–Leibler divergence (KLD-A) test. We manipulated four factors: the proportion of compromised items, the stage of adaptive testing at which preknowledge was present, item-parameter estimation error, and the information contained in secure items. The type I error results indicated that the LRT and PCM methods are favored over the KLD-A method because the KLD-A can experience large inflated type I error in many conditions. In regard to power, the LRT and PCM methods displayed a wide range of results, generally from 0.2 to 0.8, depending on the amount of preknowledge and the stage of adaptive testing at which the preknowledge was present.
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来源期刊
International Journal of Testing
International Journal of Testing SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.60
自引率
11.80%
发文量
13
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