A Comparison of the efficacies of differential item functioning detection methods

Authors : Münevver BAŞMAN

Pages : 145-159

Doi:10.21449/ijate.1135368

View : 10 | Download : 4

Publication Date : 2023-03-20

Article Type : Research Paper

Abstract :To ensure the validity of the tests is to check that all items have similar results across different groups of individuals. However, differential item functioning insert ignore into journalissuearticles values(DIF); occurs when the results of individuals with equal ability levels from different groups differ from each other on the same test item. Based on Item Response Theory and Classic Test Theory, there are some methods, with different advantages and limitations to identify items that show DIF. This study aims to compare the performances of five methods for detecting DIF. The efficacies of Mantel-Haenszel insert ignore into journalissuearticles values(MH);, Logistic Regression insert ignore into journalissuearticles values(LR);, Crossing simultaneous item bias test insert ignore into journalissuearticles values(CSIBTEST);, Lord\`s chi-square insert ignore into journalissuearticles values(LORD);, and Raju\`s area measure insert ignore into journalissuearticles values(RAJU); methods are examined considering conditions of the sample size, DIF ratio, and test length. In this study, to compare the detection methods, power and Type I error rates are evaluated using a simulation study with 100 replications conducted for each condition. Results show that LR and MH have the lowest Type I error and the highest power rate in detecting uniform DIF. In addition, CSIBTEST has a similar power rate to MH and LR. Under DIF conditions, sample size, DIF ratio, test length and their interactions affect Type I error and power rates.
Keywords : Crossing simultaneous item bias test, Differential item functioning, Logistic Regression, Lord, Mantel Haenszel, Raju