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Conducting simulation studies for computerized adaptive testing using SimulCAT: an instructional piece

机译:使用SimulCAT进行计算机自适应测试的仿真研究:指导性文章

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摘要

Computerized adaptive testing (CAT) technology is widely used in a variety of licensing and certification examinations administered to health professionals in the United States. Many more countries worldwide are expected to adopt CAT for their national licensing examinations for health professionals due to its reduced test time and more accurate estimation of a test-taker’s performance ability. Continuous improvements to CAT algorithms promote the stability and reliability of the results of such examinations. For this reason, conducting simulation studies is a critically important component of evaluating the design of CAT programs and their implementation. This report introduces the principles of SimulCAT, a software program developed for conducting CAT simulation studies. The key evaluation criteria for CAT simulation studies are explained and some guidelines are offered for practitioners and test developers. A step-by-step tutorial example of a SimulCAT run is also presented. The SimulCAT program supports most of the methods used for the 3 key components of item selection in CAT: the item selection criterion, item exposure control, and content balancing. Methods for determining the test length (fixed or variable) and score estimation algorithms are also covered. The simulation studies presented include output files for the response string, item use, standard error of estimation, Newton-Raphson iteration information, theta estimation, the full response matrix, and the true standard error of estimation. In CAT simulations, one condition cannot be generalized to another; therefore, it is recommended that practitioners perform CAT simulation studies in each stage of CAT development.
机译:计算机自适应测试(CAT)技术被广泛用于美国卫生专业人员的各种许可和认证考试。由于它减少了测试时间并且更准确地估计了考生的表现能力,因此预计世界上会有更多的国家采用CAT进行针对卫生专业人员的国家许可考试。 CAT算法的不断改进提高了此类检查结果的稳定性和可靠性。因此,进行仿真研究是评估CAT程序的设计及其实施的至关重要的组成部分。本报告介绍SimulCAT的原理,SimulCAT是为进行CAT仿真研究而开发的软件程序。解释了CAT模拟研究的关键评估标准,并为从业人员和测试开发人员提供了一些指南。还提供了SimulCAT运行的分步教程示例。 SimulCAT程序支持CAT中用于项目选择的3个关键组件的大多数方法:项目选择标准,项目曝光控制和内容平衡。还介绍了确定测试长度(固定或可变)和分数估算算法的方法。提供的仿真研究包括响应字符串,项目使用,估计的标准误差,Newton-Raphson迭代信息,θ估计,完整的响应矩阵以及估计的真实标准误差的输出文件。在CAT模拟中,一个条件不能推广到另一个条件。因此,建议从业者在CAT开发的每个阶段都进行CAT模拟研究。

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