The Relation of Item Difficulty Between Classical Test Theory and Item Response Theory: Computerized Adaptive Test Perspective

Authors : Eren Can AYBEK

Pages : 118-127

Doi:10.21031/epod.1209284

View : 58 | Download : 80

Publication Date : 2023-06-30

Article Type : Research Paper

Abstract :This study aims to transform the calculated item difficulty statistics according to Classical Test Theory insert ignore into journalissuearticles values(CTT); into the item difficulty parameter of Item Response Theory insert ignore into journalissuearticles values(IRT); by utilizing the normal distribution curve and to analyze the effectiveness of this transformation based on Rasch model. In this regard, 36 different data sets created with catR package were studied. For each data set, item difficulty parameters and transformed item difficulty parameters were calculated and the correlation coefficients between these parameters were analyzed. Then, Computerized Adaptive Test insert ignore into journalissuearticles values(CAT); simulations were performed using these parameters. According to the simulation results, the correlation coefficients between the estimated theta values with both methods were high. Furthermore, in CAT simulations in which both parameters were used, especially in the samples which were over 250, it was found to have similar bias, RMSE values, and the average number of administered items.
Keywords : Item difficulty, classical test theory, item response theory, Rasch model