TR
EN
Determination of Type I Error and Power Rate in Differential Item Functıoning By Several Methods
Abstract
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.
Keywords
References
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Details
Primary Language
English
Subjects
Social Work (Other)
Journal Section
Research Article
Early Pub Date
October 31, 2023
Publication Date
November 30, 2023
Submission Date
September 9, 2023
Acceptance Date
October 23, 2023
Published in Issue
Year 2023 Volume: 7 Number: 3