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Computer Adaptive Testing Simulations in R
International Journal of Assessment Tools in Education ( IF 0.8 ) Pub Date : 2019-12-06 , DOI: 10.21449/ijate.621157
Basak ERDEM KARA 1
Affiliation  

Computer adaptive testing is an important research field in educational measurement, and simulation studies play a critically important role in CAT development and evaluation. Both Monte Carlo and Post Hoc simulations are frequently used in CAT studies in order to investigate the effects of different factors on test efficiency and to compare different test designs. Although there are several softwares for CAT simulations, R is preferred since it includes many free packages and gives researchers opportunity to write their own functions according to their own requirements besides being free. The purpose of this study is to make an introduction and demonstration of how to use catR package in CAT simulations. Different examples were provided in the context of this study and R codes were presented with explanations. Then, the output files were briefly explained. It is thought that this paper is helpful for the researchers who are interested in CAT simulations.

中文翻译:

R中的计算机自适应测试模拟

计算机自适应测试是教育测量中的重要研究领域,而模拟研究在CAT的开发和评估中起着至关重要的作用。CAT研究中经常使用Monte Carlo模拟和Post Hoc模拟,以研究不同因素对测试效率的影响并比较不同的测试设计。尽管有多种用于CAT模拟的软件,但R是首选,因为R包括许多免费软件包,并且使研究人员有机会根据自己的要求编写自己的功能(除了免费)。本研究的目的是介绍和演示如何在CAT仿真中使用catR软件包。在本研究中提供了不同的示例,并为R代码提供了解释。然后,简要解释了输出文件。认为本文对对CAT模拟感兴趣的研究人员很有帮助。
更新日期:2019-12-06
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