Detecting Differential Item Functioning Using Logistic Regression Procedures

Hariharan Swaminathan · H. Jane Rogers

1,075 citations0/0 files storedJournal of Educational Measurement

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Psychometric Methodologies and Testing Educational Assessment and Pedagogy Educational Technology and Assessment

Abstract

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.

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1985Item Response Theory

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2021Methods and Data Analysis for Cross-Cultural Research 2017ITC Guidelines for Translating and Adapting Tests (Second Edition)2013Assessing the Hypothesis of Measurement Invariance in the Context of Large-Scale International Surveys 2011lordif : An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations 1993A Model-Based Standardization Approach that Separates True Bias/DIF from Group Ability Differences and Detects Test Bias/DTF as well as Item Bias/DIF 2001Evaluating Type I Error and Power Rates Using an Effect Size Measure With the Logistic Regression Procedure for DIF Detection 1993Methodology Review: Statistical Approaches for Assessing Measurement Bias 1998Using Statistical Procedures to Identify Differentially Functioning Test Items

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