Detecting Differential Item Functioning in CAT Using IRT Residual DIF Approach

Autor/inn/en	Lim, Hwanggyu; Choe, Edison M.
Titel	Detecting Differential Item Functioning in CAT Using IRT Residual DIF Approach
Quelle	In: Journal of Educational Measurement, 60 (2023) 4, S.626-650 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12366
Schlagwörter	Test Items; Computer Assisted Testing; Item Response Theory; Adaptive Testing; Pretesting; Error Patterns; Accuracy; Identification; Statistical Significance + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Item-Response-Theorie; Vortest; Fehlertyp; Identifikation; Identifizierung
Abstract	The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIF[subscript R] statistic both as an index for detecting uniform DIF of pretest items in CAT and as a direct measure of the effect size of uniform DIF. Extensive CAT simulations revealed RDIF[subscript R] to have well-controlled Type I error and slightly higher power to detect uniform DIF compared with CATSIB, especially when pretest items were calibrated using fixed-item parameter calibration. Moreover, RDIF[subscript R] accurately estimated the amount of uniform DIF irrespective of the presence of impact. Therefore, RDIF[subscript R] demonstrates its potential as a useful tool for evaluating both the statistical and practical significance of uniform DIF in CAT. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01