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Using Deterministic, Gated Item Response Theory Model to Detect Test Cheating due to Item Compromise

Published online by Cambridge University Press:  01 January 2025

Zhan Shu*
Affiliation:
The University of North Carolina at Greensboro
Robert Henson
Affiliation:
The University of North Carolina at Greensboro
Richard Luecht
Affiliation:
The University of North Carolina at Greensboro
*
Requests for reprints and correspondence concerning this article should be addressed to Zhan Shu, Educational Testing Service, 660 Rosedale Road, Princeton, NJ 08541, USA. E-mail: zshu@ets.org

Abstract

The Deterministic, Gated Item Response Theory Model (DGM, Shu, Unpublished Dissertation. The University of North Carolina at Greensboro, 2010) is proposed to identify cheaters who obtain significant score gain on tests due to item exposure/compromise by conditioning on the item status (exposed or unexposed items). A “gated” function is introduced to decompose the observed examinees’ performance into two distributions (the true ability distribution determined by examinees’ true ability and the cheating distribution determined by examinees’ cheating ability). Test cheaters who have score gain due to item exposure are identified through the comparison of the two distributions. Hierarchical Markov Chain Monte Carlo is used as the model’s estimation framework. Finally, the model is applied in a real data set to illustrate how the model can be used to identify examinees having pre-knowledge on the exposed items.

Information

Type
Original Paper
Copyright
Copyright © 2012 The Psychometric Society

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