Using Item Scores and Distractors to Detect Item Compromise and Preknowledge

Autor/inn/en	Gorney, Kylie; Wollack, James A.; Sinharay, Sandip; Eckerly, Carol
Titel	Using Item Scores and Distractors to Detect Item Compromise and Preknowledge
Quelle	In: Journal of Educational and Behavioral Statistics, 48 (2023) 5, S.636-660 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Gorney, Kylie) ORCID (Sinharay, Sandip)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/10769986231159923
Schlagwörter	Scores; Test Validity; Test Items; Prior Learning; Item Analysis; Simulation; Goodness of Fit; Maximum Likelihood Statistics; Test Bias + Suchen Sie Ihr Suchwort? Testvalidität; Test content; Testaufgabe; Vorkenntnisse; Itemanalyse; Simulation program; Simulationsprogramm; Testkritik
Abstract	Any time examinees have had access to items and/or answers prior to taking a test, the fairness of the test and validity of test score interpretations are threatened. Therefore, there is a high demand for procedures to detect both compromised items (CI) and examinees with preknowledge (EWP). In this article, we develop a procedure that uses item scores and distractors to simultaneously detect CI and EWP. The false positive rate and true positive rate are evaluated for both items and examinees using detailed simulations. A real data example is also provided using data from an information technology certification exam. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01