To What Extent Are Item Discrimination Values Realistic? A New Index for Two-Dimensional Structures

Autor/inn/en	Kilic, Abdullah Faruk; Uysal, Ibrahim
Titel	To What Extent Are Item Discrimination Values Realistic? A New Index for Two-Dimensional Structures
Quelle	In: International Journal of Assessment Tools in Education, 9 (2022) 3, S.728-740 (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Kilic, Abdullah Faruk) ORCID (Uysal, Ibrahim)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Item Analysis; Correlation; Item Response Theory; Test Items; Monte Carlo Methods; Interrater Reliability; Programming Languages; Geometry + Suchen Sie Ihr Suchwort? Itemanalyse; Korrelation; Item-Response-Theorie; Test content; Testaufgabe; Monte-Carlo-Methode; Interrater-Reliabilität; Geometrie
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. (As Provided).
Anmerkungen	International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://ijate.net/index.php/ijate
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01