Qiu Xue-Lan, de la Torre Jimmy, Ro Sage, Wang Wen-Chung
University of Hong Kong, Hong Kong.
SA, St. Paul, MN, USA.
Appl Psychol Meas. 2022 Jun;46(4):255-272. doi: 10.1177/01466216221084209. Epub 2022 Apr 14.
A computerized adaptive testing (CAT) solution for tests with multidimensional pairwise-comparison (MPC) items, aiming to measure career interest, value, and personality, is rare. This paper proposes new item selection and exposure control methods for CAT with dichotomous and polytomous MPC items and present simulation study results. The results show that the procedures are effective in selecting items and controlling within-person statement exposure with no loss of efficiency. Implications are discussed in two applications of the proposed CAT procedures: a work attitude test with dichotomous MPC items and a career interest assessment with polytomous MPC items.
一种用于包含多维两两比较（MPC）项目的测试的计算机自适应测试（CAT）解决方案十分罕见，这类测试旨在衡量职业兴趣、价值观和个性。本文针对具有二分法和多分法MPC项目的CAT提出了新的项目选择和曝光控制方法，并展示了模拟研究结果。结果表明，这些程序在选择项目和控制个体内陈述曝光方面是有效的，且不会损失效率。本文还在两个应用场景中讨论了所提出的CAT程序的意义：一个是具有二分法MPC项目的工作态度测试，另一个是具有多分法MPC项目的职业兴趣评估。
