Accuracy of Person-Fit Statistics: A Monte Carlo Study of the Influence of Aberrance Rates

Autor/inn/en	St-Onge, Christina; Valois, Pierre; Abdous, Belkacem; Germain, Stephane
Titel	Accuracy of Person-Fit Statistics: A Monte Carlo Study of the Influence of Aberrance Rates
Quelle	In: Applied Psychological Measurement, 35 (2011) 6, S.419-432 (14 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621610391777
Schlagwörter	Monte Carlo Methods; Accuracy; Goodness of Fit; Statistics + Suchen Sie Ihr Suchwort? Monte-Carlo-Methode; Statistik
Abstract	Using a Monte Carlo experimental design, this research examined the relationship between answer patterns' aberrance rates and person-fit statistics (PFS) accuracy. It was observed that as the aberrance rate increased, the detection rates of PFS also increased until, in some situations, a peak was reached and then the detection rates of PFS decreased with increases in aberrance rates. Furthermore, the results suggest that "ECI2[subscript Z]" was somewhat more robust to high levels of aberrance than "l[subscript z]," "H[superscript T]," and "U3" when "cheating" was simulated. The results of this study shed light on a limitation of PFS analysis. (Contains 1 note and 8 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10