A New Statistic for Detection of Aberrant Answer Changes

Autor/inn/en	Sinharay, Sandip; Duong, Minh Q.; Wood, Scott W.
Titel	A New Statistic for Detection of Aberrant Answer Changes
Quelle	In: Journal of Educational Measurement, 54 (2017) 2, S.200-217 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12141
Schlagwörter	Identification; Statistics; Change; Tests; Testing Problems; Statistical Distributions; Statistical Analysis + Suchen Sie Ihr Suchwort? Identifikation; Identifizierung; Statistik; Wandel; Examination; Prüfung; Examen; Wahrscheinlichkeitsverteilung; Statistische Analyse
Abstract	As noted by Fremer and Olson, analysis of answer changes is often used to investigate testing irregularities because the analysis is readily performed and has proven its value in practice. Researchers such as Belov, Sinharay and Johnson, van der Linden and Jeon, van der Linden and Lewis, and Wollack, Cohen, and Eckerly have suggested several statistics for detection of aberrant answer changes. This article suggests a new statistic that is based on the likelihood ratio test. An advantage of the new statistic is that it follows the standard normal distribution under the null hypothesis of no aberrant answer changes. It is demonstrated in a detailed simulation study that the Type I error rate of the new statistic is very close to the nominal level and the power of the new statistic is satisfactory in comparison to those of several existing statistics for detecting aberrant answer changes. The new statistic and several existing statistics were shown to provide useful information for a real data set. Given the increasing interest in analysis of answer changes, the new statistic promises to be useful to measurement practitioners. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01