{"title":"A Deterministic Gated Lognormal Response Time Model to Identify Examinees with Item Preknowledge","authors":"Murat Kasli, Cengiz Zopluoglu, Sarah L. Toton","doi":"10.1111/jedm.12340","DOIUrl":null,"url":null,"abstract":"<p>Response times (RTs) have recently attracted a significant amount of attention in the literature as they may provide meaningful information about item preknowledge. In this study, a new model, the Deterministic Gated Lognormal Response Time (DG-LNRT) model, is proposed to identify examinees with item preknowledge using RTs. The proposed model was applied to two different data sets and performance was assessed with false-positive rates, true-positive rates, and precision. The results were compared with another recently proposed Z-statistic. Follow-up simulation studies were also conducted to examine model performance in settings similar to the real data sets. The results indicate that the proposed model is viable and can help detect item preknowledge under certain conditions. However, its performance is highly dependent on the correct specification of the compromised items.</p>","PeriodicalId":47871,"journal":{"name":"Journal of Educational Measurement","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Educational Measurement","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jedm.12340","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Response times (RTs) have recently attracted a significant amount of attention in the literature as they may provide meaningful information about item preknowledge. In this study, a new model, the Deterministic Gated Lognormal Response Time (DG-LNRT) model, is proposed to identify examinees with item preknowledge using RTs. The proposed model was applied to two different data sets and performance was assessed with false-positive rates, true-positive rates, and precision. The results were compared with another recently proposed Z-statistic. Follow-up simulation studies were also conducted to examine model performance in settings similar to the real data sets. The results indicate that the proposed model is viable and can help detect item preknowledge under certain conditions. However, its performance is highly dependent on the correct specification of the compromised items.
期刊介绍：
The Journal of Educational Measurement (JEM) publishes original measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. The topics addressed will interest those concerned with the practice of measurement in field settings, as well as be of interest to measurement theorists. In addition to presenting new contributions to measurement theory and practice, JEM also serves as a vehicle for improving educational measurement applications in a variety of settings.
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