Applying the Breslow-Day Test of Trend in Odds Ratio Heterogeneity to the Analysis of Nonuniform DIF

Authors

  • Randall D. Penfield

DOI:

https://doi.org/10.11575/ajer.v49i3.54981

Abstract

This article applies the Breslow-Day test of trend in odds ratio heterogeneity (BD) to the detection of nonuniform DIF. A simulation study was conducted to assess the power and Type I error rate of BD, as well as a combined decision rule (CDR) whereby a decision of the existence of DIF was based on a combination of the decisions made using BD and the Mantel-Haenszel chi-square. The results indicated that CDR displayed good Type I error rate and power across a variety of conditions. Comparing these results with those of earlier research indicates that CDR may yield more accurate decisions about DIF than other commonly used DIF detection procedures.

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Published

2003-10-01

How to Cite

Penfield, R. D. (2003). Applying the Breslow-Day Test of Trend in Odds Ratio Heterogeneity to the Analysis of Nonuniform DIF. Alberta Journal of Educational Research, 49(3). https://doi.org/10.11575/ajer.v49i3.54981

Issue

Vol. 49 No. 3 (2003): Fall 2003

Section

ARTICLES

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