University of California, Riverside, CA, USA.
University of California, Irvine, CA, USA.
Behav Res Methods. 2019 Oct;51(5):2256-2267. doi: 10.3758/s13428-018-1152-2.
Many cognitive tasks have been adapted for tablet-based testing, but tests to assess nonverbal reasoning ability, as measured by matrix-type problems that are suited to repeated testing, have yet to be adapted for and validated on mobile platforms. Drawing on previous research, we developed the University of California Matrix Reasoning Task (UCMRT)-a short, user-friendly measure of abstract problem solving with three alternate forms that works on tablets and other mobile devices and that is targeted at a high-ability population frequently used in the literature (i.e., college students). To test the psychometric properties of UCMRT, a large sample of healthy young adults completed parallel forms of the test, and a subsample also completed Raven's Advanced Progressive Matrices and a math test; furthermore, we collected college records of academic ability and achievement. These data show that UCMRT is reliable and has adequate convergent and external validity. UCMRT is self-administrable, freely available for researchers, facilitates repeated testing of fluid intelligence, and resolves numerous limitations of existing matrix tests.
许多认知任务已经被改编为基于平板电脑的测试,但仍有待将适用于重复测试的矩阵类型问题来评估非言语推理能力的测试改编并验证到移动平台上。本研究借鉴了先前的研究,开发了加利福尼亚大学矩阵推理任务(UCMRT)——一种简短、用户友好的抽象问题解决方法的度量标准,它有三种备用形式,适用于平板电脑和其他移动设备,针对文献中常用的高能力人群(即大学生)。为了测试 UCMRT 的心理测量学特性,我们让大量健康的年轻成年人完成了该测试的平行形式,还有一部分人也完成了瑞文标准推理测验和数学测验;此外,我们还收集了大学生的学业成绩记录。这些数据表明,UCMRT 具有可靠性,并且具有足够的收敛和外部有效性。UCMRT 可自行管理,可供研究人员免费使用,便于对流体智力进行重复测试,并解决了现有矩阵测试的许多限制。