A Comparison of the Logistic Regression and Contingency Table Methods for Simultaneous Detection of Uniform and Nonuniform DIF

Autor/inn/en	Guler, Nese; Penfield, Randall D.
Titel	A Comparison of the Logistic Regression and Contingency Table Methods for Simultaneous Detection of Uniform and Nonuniform DIF
Quelle	In: Journal of Educational Measurement, 46 (2009) 3, S.314-329 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/j.1745-3984.2009.00083.x
Schlagwörter	Test Bias; Simulation; Test Items; Measurement; Measures (Individuals); Measurement Techniques; Psychometrics; Testing + Suchen Sie Ihr Suchwort? Testkritik; Simulation program; Simulationsprogramm; Test content; Testaufgabe; Messverfahren; Messdaten; Messtechnik; Psychometry; Psychometrie; Testdurchführung; Testen
Abstract	In this study, we investigate the logistic regression (LR), Mantel-Haenszel (MH), and Breslow-Day (BD) procedures for the simultaneous detection of both uniform and nonuniform differential item functioning (DIF). A simulation study was used to assess and compare the Type I error rate and power of a combined decision rule (CDR), which assesses DIF using a combination of the decisions made with BD and MH to those of LR. The results revealed that while the Type I error rate of CDR was consistently below the nominal alpha level, the Type I error rate of LR was high for the conditions having unequal ability distributions. In addition, the power of CDR was consistently higher than that of LR across all forms of DIF. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10