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Review
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Components of the item selection algorithm in computerized adaptive testing
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Kyung (Chris) Tyek Han
- J Educ Eval Health Prof. 2018;15:7. Published online March 24, 2018
- DOI: https://doi.org/10.3352/jeehp.2018.15.7
- 43,776 View
- 482 Download
- 13 Web of Science
- 11 Crossref
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Abstract
PDF
Supplementary Material - Computerized adaptive testing (CAT) greatly improves measurement efficiency in high-stakes testing operations through the selection and administration of test items with the difficulty level that is most relevant to each individual test taker. This paper explains the 3 components of a conventional CAT item selection algorithm: test content balancing, the item selection criterion, and item exposure control. Several noteworthy methodologies underlie each component. The test script method and constrained CAT method are used for test content balancing. Item selection criteria include the maximized Fisher information criterion, the b-matching method, the astratification method, the weighted likelihood information criterion, the efficiency balanced information criterion, and the KullbackLeibler information criterion. The randomesque method, the Sympson-Hetter method, the unconditional and conditional multinomial methods, and the fade-away method are used for item exposure control. Several holistic approaches to CAT use automated test assembly methods, such as the shadow test approach and the weighted deviation model. Item usage and exposure count vary depending on the item selection criterion and exposure control method. Finally, other important factors to consider when determining an appropriate CAT design are the computer resources requirement, the size of item pools, and the test length. The logic of CAT is now being adopted in the field of adaptive learning, which integrates the learning aspect and the (formative) assessment aspect of education into a continuous, individualized learning experience. Therefore, the algorithms and technologies described in this review may be able to help medical health educators and high-stakes test developers to adopt CAT more actively and efficiently.
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Citations
Citations to this article as recorded by
- A shortened test is feasible: Evaluating a large-scale multistage adaptive English language assessment
Shangchao Min, Kyoungwon Bishop
Language Testing.2024;[Epub] CrossRef - Efficiency of PROMIS MCAT Assessments for Orthopaedic Care
Michael Bass, Scott Morris, Sheng Zhang
Measurement: Interdisciplinary Research and Perspectives.2024; : 1. CrossRef - The Effects of Different Item Selection Methods on Test Information and Test Efficiency in Computer Adaptive Testing
Merve ŞAHİN KÜRŞAD
Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi.2023; 14(1): 33. CrossRef - Presidential address: improving item validity and adopting computer-based testing, clinical skills assessments, artificial intelligence, and virtual reality in health professions licensing examinations in Korea
Hyunjoo Pai
Journal of Educational Evaluation for Health Professions.2023; 20: 8. CrossRef - Remote Symptom Monitoring With Ecological Momentary Computerized Adaptive Testing: Pilot Cohort Study of a Platform for Frequent, Low-Burden, and Personalized Patient-Reported Outcome Measures
Conrad Harrison, Ryan Trickett, Justin Wormald, Thomas Dobbs, Przemysław Lis, Vesselin Popov, David J Beard, Jeremy Rodrigues
Journal of Medical Internet Research.2023; 25: e47179. CrossRef - Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design
Jyun-Hong Chen, Hsiu-Yi Chao
Journal of Educational and Behavioral Statistics.2023;[Epub] CrossRef - A Context-based Question Selection Model to Support the Adaptive Assessment of Learning: A study of online learning assessment in elementary schools in Indonesia
Umi Laili Yuhana, Eko Mulyanto Yuniarno, Wenny Rahayu, Eric Pardede
Education and Information Technologies.2023;[Epub] CrossRef - Evaluating a Computerized Adaptive Testing Version of a Cognitive Ability Test Using a Simulation Study
Ioannis Tsaousis, Georgios D. Sideridis, Hannan M. AlGhamdi
Journal of Psychoeducational Assessment.2021; 39(8): 954. CrossRef - Developing Multistage Tests Using D-Scoring Method
Kyung (Chris) T. Han, Dimiter M. Dimitrov, Faisal Al-Mashary
Educational and Psychological Measurement.2019; 79(5): 988. CrossRef - Conducting simulation studies for computerized adaptive testing using SimulCAT: an instructional piece
Kyung (Chris) Tyek Han
Journal of Educational Evaluation for Health Professions.2018; 15: 20. CrossRef - Updates from 2018: Being indexed in Embase, becoming an affiliated journal of the World Federation for Medical Education, implementing an optional open data policy, adopting principles of transparency and best practice in scholarly publishing, and appreci
Sun Huh
Journal of Educational Evaluation for Health Professions.2018; 15: 36. CrossRef
- A shortened test is feasible: Evaluating a large-scale multistage adaptive English language assessment
Research Article
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Exploration of examinees’ traits that affect the score of Korean Medical Licensing Examination
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Mi Kyoung Yim
- J Educ Eval Health Prof. 2015;12:5. Published online March 16, 2015
- DOI: https://doi.org/10.3352/jeehp.2015.12.5
- 28,346 View
- 163 Download
- 2 Crossref
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Abstract
PDF
- Purpose
It aims to identify the effect of five variables to score of the Korean Medical Licensing Examinations (KMLE) for three consecutive years from 2011 to 2013.
Methods
The number of examinees for each examination was 3,364 in 2011 3,177 in 2012, and 3,287 in 2013. Five characteristics of examinees were set as variables: gender, age, graduation status, written test result (pass or fail), and city of medical school. A regression model was established, with the score of a written test as a dependent variable and with examinees’ traits as variables.
Results
The regression coefficients in all variables, except the city of medical school, were statistically significant. The variable’s effect in three examinations appeared in the following order: result of written test, graduation status, age, gender, and city of medical school.
Conclusion
written test scores of the KMLE revealed that female students, younger examinees, and first-time examinees had higher performances. -
Citations
Citations to this article as recorded by- Gender bias in the medical school admission system in Japan
Kayo Fukami, Kae Okoshi, Yasuko Tomizawa
SN Social Sciences.2022;[Epub] CrossRef - A Comparative Study of Predictive Factors for Passing the National Physical Therapy Examination using Logistic Regression Analysis and Decision Tree Analysis
So Hyun Kim, Sung Hyoun Cho
Physical Therapy Rehabilitation Science.2022; 11(3): 285. CrossRef
- Gender bias in the medical school admission system in Japan
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