Detecting Examinees With Item Preknowledge on Real Data

Autor:	Sarah Toton, Dmitry Belov
Rok vydání:	2022
Předmět:	Articles Psychology (miscellaneous) Social Sciences (miscellaneous)
Zdroj:	Appl Psychol Meas
ISSN:	1552-3497 0146-6216
DOI:	10.1177/01466216221084202
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bde608fe8f3f9cc6116657be5b74476 https://doi.org/10.1177/01466216221084202 Zobrazit plný text záznamu