This post introduces the Enhanced Deterministic Gated Lognormal Response Time (DG-LNRT) model—a statistical approach for detecting both compromised test items and examinees with pre-knowledge at the same time using response time data. Unlike traditional methods, this model infers both item and person status as latent variables, jointly estimating them from response time data. The tutorial and open-source code here provide a practical resource for researchers and practitioners aiming to apply this advanced model in test security research.
For attribution, please cite this work as
Zopluoglu (2024, Dec. 6). Cengiz Zopluoglu: Enhanced Deterministic Gated Lognormal Response Time Model to Simultaneously Identify Compromised Items and Examinees with Item Preknowledge Using Response Time Data. Retrieved from https://github.com/czopluoglu/website/tree/master/docs/posts/duolingo_dglnrt/
BibTeX citation
@misc{zopluoglu2024enhanced,
author = {Zopluoglu, Cengiz},
title = {Cengiz Zopluoglu: Enhanced Deterministic Gated Lognormal Response Time Model to Simultaneously Identify Compromised Items and Examinees with Item Preknowledge Using Response Time Data},
url = {https://github.com/czopluoglu/website/tree/master/docs/posts/duolingo_dglnrt/},
year = {2024}
}