The relationship between classical item characteristics and item response time on computer-based testing
- PMID: 30852856
- PMCID: PMC6589631
- DOI: 10.3946/kjme.2019.113
The relationship between classical item characteristics and item response time on computer-based testing
Abstract
Purpose: This study investigated the relationship between the item response time (iRT) and classic item analysis indicators obtained from computer-based test (CBT) results and deduce students' problem-solving behavior using the relationship.
Methods: We retrospectively analyzed the results of the Comprehensive Basic Medical Sciences Examination conducted for 5 years by a CBT system in Dankook University College of Medicine. iRT is defined as the time spent to answer the question. The discrimination index and the difficulty level were used to analyze the items using classical test theory (CTT). The relationship of iRT and the CTT were investigated using a correlation analysis. An analysis of variance was performed to identify the difference between iRT and difficulty level. A regression analysis was conducted to examine the effect of the difficulty index and discrimination index on iRT.
Results: iRT increases with increasing difficulty index, and iRT tends to decrease with increasing discrimination index. The students' effort is increased when they solve difficult items but reduced when they are confronted with items with a high discrimination. The students' test effort represented by iRT was properly maintained when the items have a 'desirable' difficulty and a 'good' discrimination.
Conclusion: The results of our study show that an adequate degree of item difficulty and discrimination is required to increase students' motivation. It might be inferred that with the combination of CTT and iRT, we can gain insights about the quality of the examination and test behaviors of the students, which can provide us with more powerful tools to improve them.
Keywords: Computer-based test; Difficulty index; Discrimination index; Item response time.
Conflict of interest statement
No potential conflict of interest relevant to this article was reported. The authors alone are responsible for the content and writing of the paper.
Figures




Similar articles
-
Response pattern of depressive symptoms among college students: What lies behind items of the Beck Depression Inventory-II?J Affect Disord. 2018 Jul;234:124-130. doi: 10.1016/j.jad.2018.02.064. Epub 2018 Mar 3. J Affect Disord. 2018. PMID: 29525353
-
Liner programming method to construct equated item sets for implementation of periodical computer-based testing of Korean medical licensing examination.J Educ Eval Health Prof. 2018;15:26. doi: 10.3352/jeehp.2018.15.26. Epub 2018 Oct 18. J Educ Eval Health Prof. 2018. PMID: 30336541 Free PMC article.
-
The MIR 2018 Exam: Psychometric Study and Comparison with the Previous Nine Years.Medicina (Kaunas). 2019 Nov 20;55(12):751. doi: 10.3390/medicina55120751. Medicina (Kaunas). 2019. PMID: 31756983 Free PMC article.
-
A primer on classical test theory and item response theory for assessments in medical education.Med Educ. 2010 Jan;44(1):109-17. doi: 10.1111/j.1365-2923.2009.03425.x. Med Educ. 2010. PMID: 20078762 Review.
-
Item response theory in high-stakes pharmacy assessments.Curr Pharm Teach Learn. 2022 Sep;14(9):1206-1214. doi: 10.1016/j.cptl.2022.07.023. Epub 2022 Jul 30. Curr Pharm Teach Learn. 2022. PMID: 36154966 Review.
Cited by
-
Differences in Multiple-Choice Questions of Opposite Stem Orientations Based on a Novel Item Quality Measure.Am J Pharm Educ. 2023 Mar;87(2):ajpe8934. doi: 10.5688/ajpe8934. Epub 2022 Apr 25. Am J Pharm Educ. 2023. PMID: 35470171 Free PMC article.
-
Knowledge, attitude and practice towards multiple myeloma among medical staff in Enshi Region.Sci Rep. 2025 Jan 27;15(1):3406. doi: 10.1038/s41598-025-88079-0. Sci Rep. 2025. PMID: 39870732 Free PMC article.
-
The impact of repeated item development training on the prediction of medical faculty members' item difficulty index.BMC Med Educ. 2024 May 30;24(1):599. doi: 10.1186/s12909-024-05577-x. BMC Med Educ. 2024. PMID: 38816855 Free PMC article.
-
Analysis of Nutrition Knowledge After One Year of Intervention in a National Extracurricular Athletics Program: A Cross-Sectional Study with Pair-Matched Controls of Polish Adolescents.Nutrients. 2024 Dec 27;17(1):64. doi: 10.3390/nu17010064. Nutrients. 2024. PMID: 39796499 Free PMC article.
-
Identification of parameters for electronic distance examinations.Front Vet Sci. 2024 Jun 19;11:1385681. doi: 10.3389/fvets.2024.1385681. eCollection 2024. Front Vet Sci. 2024. PMID: 38962711 Free PMC article.
References
-
- Son CG. Curriculum & educational evaluation. Seoul, Korea: Teayong; 2012.
-
- Lim HS, Lee YM, Ahn DS, Lee JY, Im H. Item analysis of clinical performance examination using item response theory and classical test theory. Korean J Med Educ. 2007;19(3):185–195.
-
- University of Washington Understanding item analyses. http://www.washington.edu/assessment/scanning-scoring/scoring/reports/it.... Accessed July 3, 2018.
-
- Wise SL. An investigation of the differential effort received by items on a low-stakes computer-based test. Appl Meas Educ. 2006;19(2):95–114.
MeSH terms
LinkOut - more resources
Full Text Sources