MIMIC Methods for Assessing Differential Item Functioning in Polytomous Items

Autor/inn/en	Wang, Wen-Chung; Shih, Ching-Lin
Titel	MIMIC Methods for Assessing Differential Item Functioning in Polytomous Items
Quelle	In: Applied Psychological Measurement, 34 (2010) 3, S.166-180 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621609355279
Schlagwörter	Methods; Test Bias; Test Items; Error of Measurement; Statistical Analysis; Simulation + Suchen Sie Ihr Suchwort? Method; Methode; Testkritik; Test content; Testaufgabe; Messfehler; Statistische Analyse; Simulation program; Simulationsprogramm
Abstract	Three multiple indicators-multiple causes (MIMIC) methods, namely, the standard MIMIC method (M-ST), the MIMIC method with scale purification (M-SP), and the MIMIC method with a pure anchor (M-PA), were developed to assess differential item functioning (DIF) in polytomous items. In a series of simulations, it appeared that all three methods yielded a well-controlled Type I error rate when tests did not contain any DIF items. M-ST and M-SP began to yield an inflated Type I error rate and a deflated power when tests contained 10% and 20% DIF items, respectively. M-PA maintained an expected Type I error rate and a high power even when tests contained as many as 40% DIF items. An iterative MIMIC procedure was proposed to select a small set of DIF-free items to serve as the anchor in M-PA. It was found in a series of simulations that this procedure yielded a very high rate of accuracy. Two simulated data sets were then analyzed to show applications of these MIMIC methods for DIF assessment in polytomous items. (Contains 4 tables and 1 figure.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10