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Robitzsch, Alexander; Rupp, Andre A. – Educational and Psychological Measurement, 2009
This article describes the results of a simulation study to investigate the impact of missing data on the detection of differential item functioning (DIF). Specifically, it investigates how four methods for dealing with missing data (listwise deletion, zero imputation, two-way imputation, response function imputation) interact with two methods of…
Descriptors: Test Bias, Simulation, Interaction, Effect Size
Magno, Carlo – Online Submission, 2009
The present report demonstrates the difference between classical test theory (CTT) and item response theory (IRT) approach using an actual test data for chemistry junior high school students. The CTT and IRT were compared across two samples and two forms of test on their item difficulty, internal consistency, and measurement errors. The specific…
Descriptors: Private Schools, Measurement, Error of Measurement, Foreign Countries
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Monahan, Patrick O.; Ankenmann, Robert D. – Journal of Educational Measurement, 2005
Empirical studies demonstrated Type-I error (TIE) inflation (especially for highly discriminating easy items) of the Mantel-Haenszel chi-square test for differential item functioning (DIF), when data conformed to item response theory (IRT) models more complex than Rasch, and when IRT proficiency distributions differed only in means. However, no…
Descriptors: Sample Size, Item Response Theory, Test Items, Test Bias