The Item Parameter Replication Method for Detecting Differential Functioning in the Polytomous DFIT Framework

Autor/inn/en	Raju, Nambury S.; Fortmann-Johnson, Kristen A.; Kim, Wonsuk; Morris, Scott B.; Nering, Michael L.; Oshima, T. C.
Titel	The Item Parameter Replication Method for Detecting Differential Functioning in the Polytomous DFIT Framework
Quelle	In: Applied Psychological Measurement, 33 (2009) 2, S.133-147 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621608319514
Schlagwörter	Test Bias; Statistical Significance; Item Response Theory; Monte Carlo Methods; Sample Size; Data; Statistics + Suchen Sie Ihr Suchwort? Testkritik; Item-Response-Theorie; Monte-Carlo-Methode; Daten; Statistik
Abstract	The recent study of Oshima, Raju, and Nanda proposes the item parameter replication (IPR) method for assessing statistical significance of the noncompensatory differential item functioning (NCDIF) index within the differential functioning of items and tests (DFIT) framework. Previous Monte Carlo simulations have found that the appropriate cutoff values for determining statistical significance of NCDIF depend on sample size and the item response theory (IRT) model used for the analysis. The IPR method simplifies the process of identifying cutoff values that are tailored to a particular research setting. This approach has been shown to be effective for detecting differential item functioning (DIF) in dichotomous items. The current article extends the IPR method to the polytomous case. (Contains 2 tables, 1 figure and 2 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10