|  e-ISSN: 2618-589X

Original article | TAY Journal 2023, Vol. 7(4) 902-921

Determination of Type I Error and Power Rate in Differential Item Functioning by Several Methods

Şeyma Erbay Mermer, Yasemin Kuzu, Hülya Kelecioğlu

pp. 902 - 921   |  DOI: https://doi.org/10.29329/tayjournal.2023.610.09   |  Manu. Number: tay journal.2023.052

Published online: October 30, 2023  |   Number of Views: 12  |  Number of Download: 157


Abstract

In this study, the 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 , Breslow-Day and Raju's area index methods were used for the analyses, which were conducted using the R programming language. Determination of Type I error and power rates of these methods under certain conditions was carried out by simulation study. For data generation, analyzes were made under eight conditions in total by examining different sample sizes and DIF rates created with the WinGen 3 program. The results of the study indicate that, in general when the ratio of items containing DIF increased, Type I error increased and the power ratio decreased. Among the methods based on Item Response Theory, Lord's and Raju's area index methods gave better results than other methods with low error and high power.

Keywords: IRT, DIF, Type I error, power


How to Cite this Article?

APA 6th edition
Mermer, S.E., Kuzu, Y. & Kelecioglu, H. (2023). Determination of Type I Error and Power Rate in Differential Item Functioning by Several Methods . TAY Journal, 7(4), 902-921. doi: 10.29329/tayjournal.2023.610.09

Harvard
Mermer, S., Kuzu, Y. and Kelecioglu, H. (2023). Determination of Type I Error and Power Rate in Differential Item Functioning by Several Methods . TAY Journal, 7(4), pp. 902-921.

Chicago 16th edition
Mermer, Seyma Erbay, Yasemin Kuzu and Hulya Kelecioglu (2023). "Determination of Type I Error and Power Rate in Differential Item Functioning by Several Methods ". TAY Journal 7 (4):902-921. doi:10.29329/tayjournal.2023.610.09.

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