Estimating Probabilities of Passing for Examinees with Incomplete Data in Mastery Tests

Autor/in	Sinharay, Sandip
Titel	Estimating Probabilities of Passing for Examinees with Incomplete Data in Mastery Tests
Quelle	In: Educational and Psychological Measurement, 82 (2022) 3, S.580-609 (30 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sinharay, Sandip)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/00131644211023797
Schlagwörter	Mastery Tests; Computer Assisted Testing; Probability; Test Wiseness; Placement Tests; Advanced Placement; Licensing Examinations (Professions); Item Response Theory; Accuracy; Classification; Testing Problems + Suchen Sie Ihr Suchwort? Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Item-Response-Theorie; Classification system; Klassifikation; Klassifikationssystem
Abstract	Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores and hence to incomplete data on mastery tests such as the AP and U.S. Medical Licensing examinations. Investigators are often interested in estimating the probabilities of passing of the examinees with incomplete data on mastery tests. However, there is a lack of research on this estimation problem. The goal of this article is to suggest two new approaches--one each based on classical test theory and item response theory--for estimating the probabilities of passing of the examinees with incomplete data on mastery tests. The two approaches are demonstrated to have high accuracy and negligible misclassification rates. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01