Three New Methods for Analysis of Answer Changes

Autor/inn/en	Sinharay, Sandip; Johnson, Matthew S.
Titel	Three New Methods for Analysis of Answer Changes
Quelle	In: Educational and Psychological Measurement, 77 (2017) 1, S.54-81 (28 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164416632287
Schlagwörter	Deception; Identification; Testing Problems; Error of Measurement; Statistical Analysis; Item Response Theory; Computation + Suchen Sie Ihr Suchwort? Täuschung; Identifikation; Identifizierung; Messfehler; Statistische Analyse; Item-Response-Theorie
Abstract	In a pioneering research article, Wollack and colleagues suggested the "erasure detection index" (EDI) to detect test tampering. The EDI can be used with or without a continuity correction and is assumed to follow the standard normal distribution under the null hypothesis of no test tampering. When used without a continuity correction, the EDI often has inflated Type I error rates. When used with a continuity correction, the EDI has satisfactory Type I error rates, but smaller power compared with the EDI without a continuity correction. This article suggests three methods for detecting test tampering that do not rely on the assumption of a standard normal distribution under the null hypothesis. It is demonstrated in a detailed simulation study that the performance of each suggested method is slightly better than that of the EDI. The EDI and the suggested methods were applied to a real data set. The suggested methods, although more computation intensive than the EDI, seem to be promising in detecting test tampering. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01