An Introduction to Statistical Techniques Used for Detecting Anomaly in Test Results

Autor/inn/en	He, Qingping; Meadows, Michelle; Black, Beth
Titel	An Introduction to Statistical Techniques Used for Detecting Anomaly in Test Results
Quelle	In: Research Papers in Education, 37 (2022) 1, S.115-133 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0267-1522
DOI	10.1080/02671522.2020.1812108
Schlagwörter	Statistical Analysis; High Stakes Tests; Scores; Response Style (Tests); Test Results; Identification; Cheating; Item Response Theory; Test Items + Suchen Sie Ihr Suchwort? Statistische Analyse; Antwortverhalten; Identifikation; Identifizierung; Prellen; Item-Response-Theorie; Test content; Testaufgabe
Abstract	A potential negative consequence of high-stakes testing is inappropriate test behaviour involving individuals and/or institutions. Inappropriate test behaviour and test collusion can result in aberrant response patterns and anomalous test scores and invalidate the intended interpretation and use of test results. A variety of statistical techniques have been developed to investigate anomaly in test results at individual test-taker and group levels. This article provides a brief introduction to some of the most widely studied techniques, with a particular focus on their underlying concepts and principles employed to derive indices for identifying anomalous test results. Detailed mathematical derivations of the various statistical models discussed are not given, but relevant references are provided. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01