A Deterministic Gated Lognormal Response Time Model to Identify Examinees with Item Preknowledge

Autor/inn/en	Kasli, Murat; Zopluoglu, Cengiz; Toton, Sarah L.
Titel	A Deterministic Gated Lognormal Response Time Model to Identify Examinees with Item Preknowledge
Quelle	In: Journal of Educational Measurement, 60 (2023) 1, S.148-169 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kasli, Murat) ORCID (Zopluoglu, Cengiz)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12340
Schlagwörter	Reaction Time; Test Items; Models; Familiarity; Performance; Knowledge Level + Suchen Sie Ihr Suchwort? Reaktionsvermögen; Test content; Testaufgabe; Analogiemodell; Achievement; Leistung; Wissensbasis
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. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01