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To What Extent Are Item Discrimination Values Realistic? A New Index for Two-Dimensional Structures
- Source :
-
International Journal of Assessment Tools in Education . 2022 9(3):728-740. - Publication Year :
- 2022
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 2148-7456
- Volume :
- 9
- Issue :
- 3
- Database :
- ERIC
- Journal :
- International Journal of Assessment Tools in Education
- Publication Type :
- Academic Journal
- Accession number :
- EJ1359578
- Document Type :
- Journal Articles<br />Reports - Research