Efficiency of the Mantel, Generalized Mantel-Haenszel, and Logistic Discriminant Function Analysis Methods in Detecting Differential Item Functioning for Polytomous Items

Autor/inn/en	Su, Ya-Hui; Wang, Wen-Chung
Titel	Efficiency of the Mantel, Generalized Mantel-Haenszel, and Logistic Discriminant Function Analysis Methods in Detecting Differential Item Functioning for Polytomous Items
Quelle	In: Applied Measurement in Education, 18 (2005) 4, S.313-350 (38 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
DOI	10.1207/s15324818ame1804_1
Schlagwörter	Discriminant Analysis; Test Bias; Research Methodology; Test Items; Item Response Theory; Functional Behavioral Assessment; Simulation; Evaluation Methods + Suchen Sie Ihr Suchwort? Diskriminanzanalyse; Testkritik; Research method; Forschungsmethode; Test content; Testaufgabe; Item-Response-Theorie; Simulation program; Simulationsprogramm
Abstract	Simulations were conducted to investigate factors that influence the Mantel, generalized Mantel-Haenszel (GMH), and logistic discriminant function analysis (LDFA) methods in assessing differential item functioning (DIF) for polytomous items. The results show that the magnitude of DIF contamination in the matching score, as measured by the average signed area between the 2 item characteristic curves of the reference and focal groups (Raju, 1988), was more crucial than the percentage of DIF items in a test in determining the Type I error (false positives) of the 3 methods. As long as the average signed area approached zero, all 3 methods maintained control over their Type I error, even when the percentage of DIF items was as high as 20%. The Mantel and LDFA methods yielded higher power (true positives) than the GMH method under all but the balanced DIF patterns. Test purification procedures were useful in improving control over Type I error under the constant DIF pattern. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10