Detecting Differential Item Functioning: Item Response Theory Methods versus the Mantel-Haenszel Procedure

Autor/inn/en	Diaz, Emily; Brooks, Gordon; Johanson, George
Titel	Detecting Differential Item Functioning: Item Response Theory Methods versus the Mantel-Haenszel Procedure
Quelle	In: International Journal of Assessment Tools in Education, 8 (2021) 2, S.376-393 (18 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Diaz, Emily) ORCID (Brooks, Gordon) ORCID (Johanson, George)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2148-7456
Schlagwörter	Test Bias; Item Response Theory; Statistical Analysis; Comparative Analysis; Test Items; Computation; Sample Size; Goodness of Fit + Suchen Sie Ihr Suchwort? Testkritik; Item-Response-Theorie; Statistische Analyse; Test content; Testaufgabe
Abstract	This Monte Carlo study assessed Type I error in differential item functioning analyses using Lord's chi-square (LC), Likelihood Ratio Test (LRT), and Mantel-Haenszel (MH) procedure. Two research interests were investigated: item response theory (IRT) model specification in LC and the LRT and continuity correction in the MH procedure. This study enhances the literature by investigating LC and the LRT using correct and incorrect model-data fit and comparing those results to the MH procedure. There were three fixed factors (number of test items, IRT parameter estimation method, and item parameter equating) and four varied factors (IRT model used to generate data and fit the data, sample size, and impact). The findings suggested the MH procedure without the continuity correction is best based on Type I error rate. (As Provided).
Anmerkungen	International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://ijate.net/index.php/ijate
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01