Testing for Differential Item Functioning with Measures of Partial Association

Autor/in	Woods, Carol M.
Titel	Testing for Differential Item Functioning with Measures of Partial Association
Quelle	In: Applied Psychological Measurement, 33 (2009) 7, S.538-554 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621608329506
Schlagwörter	Test Bias; Measurement; Correlation; Methods; Simulation; Programming + Suchen Sie Ihr Suchwort? Testkritik; Messverfahren; Korrelation; Method; Methode; Simulation program; Simulationsprogramm; Programmierung
Abstract	Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for one group of people versus another, irrespective of mean differences on the construct. There are many methods available for DIF assessment. The present article is focused on indices of partial association. A family of average conditional ordinal association measures described by Quade is described and empirically compared to the Mantel-Haenszel (MH) test, the partial Pearson correlation pr, and the Spearman rank correlation pr[subscript s]. Because coefficients of linear association are not meaningful for the binary and ordinal variables usually used in DIF applications, practitioners are urged to seek alternatives to pr and pr[subscript s]. Some of the Quade-family measures are viable alternatives and performed as well as, or better than, the established MH test. Computer code for calculating the average conditional ordinal measures using the free R program is given. (Contains 3 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10