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J Educ Eval Health Prof > Epub ahead of print
J Educ Eval Health Prof. 2020; 17: 27.
Published online September 29, 2020.
[Epub ahead of print]
Introduction to the LIVECAT web-based computerized adaptive testing platform
Dong Gi Seo1,2  , Jeongwook Choi2 
1Department of Psychology, College of Social Sciences & Hallym Applied Psychology Institute, Hallym University, Chuncheon, Korea
2The CAT Korea Company, Seoul, Korea
Correspondence  Dong Gi Seo ,Email:
Editor:  Sun Huh, Hallym University, Korea
Submitted: August 25, 2020  Accepted after revision: September 23, 2020
This study introduces LIVECAT, a web-based computerized adaptive testing platform. This platform provides many functions, including writing item content, managing an item bank, creating and administering a test, reporting test results, and providing information about a test and examinees. The LIVECAT provides examination administrators with an easy and flexible environment for composing and managing examinations. It is available at Several tools were used to program LIVECAT, as follows: operating system, Amazon Linux; web server, nginx 1.18; WAS, Apache Tomcat 8.5; database, Amazon RDMS—Maria DB; and languages, JAVA8, HTML5/CSS, Javascript, and jQuery. The LIVECAT platform can be used to implement several item response theory (IRT) models such as the Rasch and 1-, 2-, 3-parameter logistic models. The administrator can choose a specific model of test construction in LIVECAT. Multimedia data such as images, audio files, and movies can be uploaded to items in LIVECAT. Two scoring methods (maximum likelihood estimation and expected a posteriori) are available in LIVECAT and the maximum Fisher information item selection method is applied to every IRT model in LIVECAT. The LIVECAT platform showed equal or better performance compared with a conventional test platform. The LIVECAT platform enables users without psychometric expertise to easily implement and perform computerized adaptive testing at their institutions. The most recent LIVECAT version only provides a dichotomous item response model and the basic components of CAT. Shortly, LIVECAT will include advanced functions, such as a polytomous item response model with weighted likelihood estimation and content balancing.
Keywords: Computerized adaptive testing; Iitem response theory; Likelihood functions; Psychometrics; Software
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