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AutorenGoodman, Joshua T.; Willse, John T.; Allen, Nancy L.; Klaric, John S.
TitelIdentification of Differential Item Functioning in Assessment Booklet Designs with Structurally Missing Data
QuelleIn: Educational and Psychological Measurement, 71 (2011) 1, S.80-94 (15 Seiten)
PDF als Volltext    Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0013-1644
DOI10.1177/0013164410387341
SchlagwörterTest Bias; Identification; Tests; Test Length; Sample Size
AbstractThe Mantel-Haenszel procedure is a popular technique for determining items that may exhibit differential item functioning (DIF). Numerous studies have focused on the strengths and weaknesses of this procedure, but few have focused the performance of the Mantel-Haenszel method when structurally missing data are present as a result of test booklet design. The current research compares the Type I error rate, power rate, and accuracy of DIF statistics when using the Mantel-Haenszel methods to detect DIF in three different test booklet designs that produce sparse data. Data were simulated for three different total sample sizes, fully crossed with three different test lengths, and two focal to reference group ratios. In general, the Mantel-Haenszel procedure was not adversely affected by sparseness of data under any of the booklet designs considered when sample size was adequately large. As sample sizes decrease, both the amount of sparseness and features of the booklet design may influence the ability to detect DIF. (Contains 2 figures and 2 tables.) (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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