Abstract
This study aimed at verifying the effectiveness of likelihood ratio test (IRTLR) and multiple indicators multiple causes (MIMIC) method in detecting differential item functioning (DIF) according to percentage of item with DIF and Ability Distribution. To achieve the aim of the study, nine ability distribution's and three percentage of items with differential function were generated according to three parameter model using WINGEN program on 50 dichotomous items. The generated data were analyzed by R program and MULTILOG program. The result revealed that there were statistically significant differences at) α=0.05(between Type I error and power means due to percentage of item with DIF and DIF methods and their interaction, and the Type I error increased when increasing percentage of item with DIF for both methods. The result also revealed that the power of test decreased when increasing percentage of item with DIF. The result also revealed that there were statistically significant differences at) α=0.05) due to Ability Distribution's and DIF methods and their interaction, and (MIMIC) method is better detecting DIF from Ability Distribution.
Recommended Citation
Qawaqneh, Ala'a and Bani Ata, Zaid
(2024)
"The Effectiveness of Likelihood Ratio Test & Multiple Indicators Multiple Causes method in detecting differential item functioning according to sample size and percentage of item with DIF and ability distribution,"
Jordan Journal of Applied Science-Humanities Series: Vol. 40:
Iss.
2, Article 2.
Available at:
https://digitalcommons.aaru.edu.jo/jjoas-h/vol40/iss2/2