The Effect of Missing Data Treatment on Mantel-Haenszel DIF Detection

Autor/inn/en	Emenogu, Barnabas C.; Falenchuk, Olesya; Childs, Ruth A.
Titel	The Effect of Missing Data Treatment on Mantel-Haenszel DIF Detection
Quelle	In: Alberta Journal of Educational Research, 56 (2010) 4, S.459-469 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0002-4805
Schlagwörter	Foreign Countries; Test Bias; Test Items; Educational Testing; Evaluation Methods; Testing Problems; Canada + Suchen Sie Ihr Suchwort? Ausland; Testkritik; Test content; Testaufgabe; Kanada
Abstract	Most implementations of the Mantel-Haenszel differential item functioning procedure delete records with missing responses or replace missing responses with scores of 0. These treatments of missing data make strong assumptions about the causes of the missing data. Such assumptions may be particularly problematic when groups differ in their patterns of nonresponse. Using both real data from Ontario students taking the English- and French-language versions of two large-scale assessments and simulated data, this study compared the Mantel-Haenszel DIF indices produced using a total score or a proportion score as matching variables and treating missing data by listwise deletion, analysiswise deletion, or scoring missing data as incorrect. The results suggest that when many responses are missing, differential nonresponse rates may be a source of DIF. (As Provided).
Anmerkungen	University of Alberta, Faculty of Education. 845 Education Centre South, Edmonton, AB T6G 2G5, Canada. Tel: 780-492-7941; Fax: 780-492-0236; Web site: http://www.education.ualberta.ca/educ/journals/ajer.html
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10