Differential Item Functioning in Mastery tests: A comparison of three methods using real data
2009 (English)In: International Journal of Testing, ISSN 1530-5058, E-ISSN 1532-7574, Vol. 9, no 1, 41-59 p.Article in journal (Refereed) Published
The aim of this study was to examine log linear modelling (LLM) compared with logistic regression (LR) and Mantel-Haenszel (MH) test for detecting Differential Item Functioning (DIF) in a mastery test. The three methods were chosen because they have similar components. The results showed fairly high matching percentages together with high correlations among the methods regarding size of DIF. The MH approach yielded more conservative results than both LR and LLM. LLM and LR were fairly consistent with each other. The LLM has the advantage of dividing the test scores into certain intervals, which is of special interest in mastery tests. This partition of test scores was also tried with LR and MH with different results.
Place, publisher, year, edition, pages
Philadelphia, PA: Taylor & Francis Group, 2009. Vol. 9, no 1, 41-59 p.
Mantel-Haenszel, Logistic regression, log linear modelling, DIF, mastery tests
Probability Theory and Statistics
Research subject Statistics
IdentifiersURN: urn:nbn:se:umu:diva-21721DOI: 10.1080/15305050902733455OAI: oai:DiVA.org:umu-21721DiVA: diva2:211706