Detecting Differential Item Functioning Using Logistic Regression Procedures

A logistic regression model for characterizing differential item functioning (DIF) between two groups is presented. A distinction is drawn between uniform and nonuniform DIF in terms of the parameters of the model. A statistic for testing the hypothesis of no DIF is developed. Through simulation stu...

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Bibliographic Details
Published in:Journal of educational measurement 1990-12, Vol.27 (4), p.361-370
Main Authors: Swaminathan, Hariharan, Rogers, H. Jane
Format: Article
Language:English
Subjects:
Comparative Analysis
Computer Simulation
Equations (Mathematics)
Estimation (Mathematics)
False positive errors
Item Bias
Item Response Theory
Logistic regression
Mantel Haenszel Procedure
Mathematical Models
Mathematical procedures
Maximum likelihood estimation
Modeling
Parametric Analysis
Parametric models
Regression (Statistics)
Regression analysis
Sample size
Statistical Distributions
Test bias
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Summary:A logistic regression model for characterizing differential item functioning (DIF) between two groups is presented. A distinction is drawn between uniform and nonuniform DIF in terms of the parameters of the model. A statistic for testing the hypothesis of no DIF is developed. Through simulation studies, it is shown that the logistic regression procedure is more powerful than the Mantel-Haenszel procedure for detecting nonuniform DIF and as powerful in detecting uniform DIF.
ISSN:0022-0655
1745-3984
DOI:10.1111/j.1745-3984.1990.tb00754.x