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

<p> </p> <p>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 <em>Kullback–Leibler</em> divergence (KL) measure, and person fit statistic under different conditions via modeling patterns of response accuracy (RA) and RT, using a joint <a href="https://www.seslisozluk.net/hierarchial-nedir-ne-demek/" target="_blank">hierarchical</a> 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. </p>