Detecting Examinees With Item Preknowledge on Real Data

Author:

Belov Dmitry I.1ORCID,Toton Sarah L.2ORCID

Affiliation:

1. Psychometric Research, Law School Admission Council, Newtown, PA, USA

2. Data Forensics, Caveon, Midvale, UT, USA

Abstract

Recently, Belov & Wollack (2021) developed a method for detecting groups of colluding examinees as cliques in a graph. The objective of this article is to study how the performance of their method on real data with item preknowledge (IP) depends on the mechanism of edge formation governed by a response similarity index (RSI). This study resulted in the development of three new RSIs and demonstrated a remarkable advantage of combining responses and response times for detecting examinees with IP. Possible extensions of this study and recommendations for practitioners were formulated.

Publisher

SAGE Publications

Subject

Psychology (miscellaneous),Social Sciences (miscellaneous)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using Response Times in Answer Similarity Analysis;Journal of Educational and Behavioral Statistics;2024-05-30

2. Using item scores and response times in person‐fit assessment;British Journal of Mathematical and Statistical Psychology;2023-09-05

3. A Statistical Test for the Detection of Item Compromise Combining Responses and Response Times;Journal of Educational Measurement;2022-10-28

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