Investigation of Pre-Knowledge Cheating via Joint Hierarchical Modeling Patterns of Response Accuracy and Response Time

Pub Date : 2023-05-19 DOI:10.31124/advance.22687369
Ebru Balta, celal deha doğan
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Abstract

With the rise of computer- based testing, increasingly more attention has been given to response time (RT) in assessment practice and psychometric research. This study aims to reveal the rate of Type I error in the detection of preknowledge cheating behaviors, and the rate of power of Kullback–Leibler divergence (KL) measure, and person fit statistic under different conditions via modeling patterns of response accuracy (RA) and RT, using a joint hierarchical model. The test length, difficulty level of the compromised items, the ratio of compromised items, and changing in RTs of the compromised items variables were varied. KL measure has a high power and Type I error rate mean values than person fit statistics for RA and RT patterns under all conditions.

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基于反应准确度和反应时间联合层次模型的预知识作弊研究
& lt; p>& lt; / p>随着计算机测试的兴起,反应时间在评估实践和心理测量学研究中越来越受到重视。本研究旨在揭示预知作弊行为的I型错误率,以及<em> Kullback-Leibler</em>利用联合<a href="https://www.seslisozluk.net/hierarchial-nedir-ne-demek/" target="_blank">hierarchical</a>模型。在测试长度、妥协项目难度、妥协项目比例、妥协项目变量RTs变化等方面存在差异。在所有条件下,KL测量在RA和RT模式下都比人拟合统计量具有更高的功率和I型错误率平均值。& lt; / p>
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