Identifying Differential Item Functioning in Multi-Stage Computer Adaptive Testing

Autor/inn/en	Gierl, Mark J.; Lai, Hollis; Li, Johnson
Titel	Identifying Differential Item Functioning in Multi-Stage Computer Adaptive Testing
Quelle	In: Educational Research and Evaluation, 19 (2013) 2-3, S.188-203 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1380-3611
DOI	10.1080/13803611.2013.767622
Schlagwörter	Adaptive Testing; Test Bias; Computer Assisted Testing; Test Items; Error of Measurement; Psychometrics + Suchen Sie Ihr Suchwort? Testkritik; Test content; Testaufgabe; Messfehler; Psychometry; Psychometrie
Abstract	The purpose of this study is to evaluate the performance of CATSIB (Computer Adaptive Testing-Simultaneous Item Bias Test) for detecting differential item functioning (DIF) when items in the matching and studied subtest are administered adaptively in the context of a realistic multi-stage adaptive test (MST). MST was simulated using a 4-item module in a 7-panel administration. Three independent variables, expected to affect DIF detection rates, were manipulated: item difficulty, sample size, and balanced/unbalanced design. CATSIB met the acceptable criteria, meaning that the Type I error and power rates met 5% and 80%, respectively, for the large reference/moderate focal sample and the large reference/large focal sample conditions. These results indicate that CATSIB can be used to consistently and accurately detect DIF on an MST, but only with moderate to large samples. (Contains 4 tables and 2 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10