Determination of Type I Error and Power Rate in Differential Item Functıoning By Several Methods

In this study, methods based on Classical Test Theory and Item Response Theory were used comparatively to determine Type I error and power rates in Differential Item Functioning. Logistic regression, Mantel-Haenszel, Lord\'s χ^2, Breslow-Day and Raju\'s area index methods were used for the analyses, and the analyzes were performed using the R.3.0.1 program. According to the results of the study, in general when the ratio of items containing DIF increased, Type I error increased and the power ratio decreased. Among the methods based on Matter Response Theory, Lord\'s χ^2and Raju\'s area index methods gave better results than other methods with low error and high power.