@article{article_1098757, title={To what extent are item discrimination values realistic? A new index for two-dimensional structures}, journal={International Journal of Assessment Tools in Education}, volume={9}, pages={728–740}, year={2022}, DOI={10.21449/ijate.1098757}, author={Kılıç, Abdullah Faruk and Uysal, İbrahim}, keywords={Item discrimination, Multi-dimensional structures, Classical test theory, Corrected item-total correlation}, abstract={<div style="text-align:justify;">Most researchers investigate the corrected item-total correlation of items when analyzing item discrimination in multi-dimensional structures under the Classical Test Theory, which might lead to underestimating item discrimination, thereby removing items from the test. Researchers might investigate the corrected item-total correlation with the factors to which that item belongs; however, getting a general overview of the entire test is impossible. Based on this problem, this study aims to recommend a new index to investigate item discrimination in two-dimensional structures through a Monte Carlo simulation. The new item discrimination index is evaluated by identifying sample size, item discrimination value, inter-factor correlation, and the number of categories. Based upon the results of the study it can be claimed that the proposed item discrimination index proves acceptable performance for two-dimensional structures. Accordingly, using this new item discrimination index could be recommended to researchers when investigating item discrimination in two-dimensional structures. </div>}, number={3}, publisher={İzzet KARA}