Luo Hao, Wang Daxun, Guo Zhiming, Cai Yan, Tu Dongbo
School of Psychology, Jiangxi normal university, Nanchang, China.
Department of Educational Psychology, Faculty of Education, East China Normal University, Shanghai, China.
Appl Psychol Meas. 2022 Jun;46(4):288-302. doi: 10.1177/01466216221084214. Epub 2022 Apr 18.
The new generation of tests not only focuses on the general ability but also the process of finer-grained skills. Under the guidance of this thought, researchers have developed a dual-purpose CD-CAT (Dual-CAT). In the existing Dual-CAT, the models used in overall ability estimation are unidimensional IRT models, which cannot apply to the multidimensional tests. This article intends to develop a multidimensional Dual-CAT to improve its applicability. To achieve this goal, this article firstly proposes some item selection methods for the multidimensional Dual-CAT, and then verifies the estimation accuracy and exposure rate of these methods through both simulation study and a real item bank study. The results show that the established multidimensional Dual-CAT is effective and the new proposed methods outperform the traditional methods. Finally, this article discusses the future direction of the Dual-CAT.
新一代测试不仅关注一般能力，还关注更细化技能的过程。在这一思想指导下，研究人员开发了一种双用途计算机自适应测试（Dual-CAT）。在现有的Dual-CAT中，用于总体能力估计的模型是单维IRT模型，不适用于多维测试。本文旨在开发一种多维Dual-CAT以提高其适用性。为实现这一目标，本文首先提出了一些用于多维Dual-CAT的项目选择方法，然后通过模拟研究和实际题库研究验证了这些方法的估计准确性和曝光率。结果表明，所建立的多维Dual-CAT是有效的，新提出的方法优于传统方法。最后，本文讨论了Dual-CAT的未来发展方向。
