Xu Lingling, Jin Ruyi, Huang Feifei, Zhou Yanhui, Li Zonglong, Zhang Minqiang
School of Psychology, South China Normal University, Guangzhou, China.
Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.
Front Psychol. 2020 Dec 1;11:561358. doi: 10.3389/fpsyg.2020.561358. eCollection 2020.
Emotion regulation (ER) plays a vital role in individuals' well-being and successful functioning. In this study, we attempted to develop a computerized adaptive testing (CAT) to efficiently evaluate ER, namely the CAT-ER. The initial CAT-ER item bank comprised 154 items from six commonly used ER scales, which were completed by 887 participants recruited in China. We conducted unidimensionality testing, item response theory (IRT) model comparison and selection, and IRT item analysis including local independence, item fit, differential item functioning, and item discrimination. Sixty-three items with good psychometric properties were retained in the final CAT-ER. Then, two CAT simulation studies were implemented to assess the CAT-ER, which revealed that the CAT-ER developed in this study performed reasonably well, considering that it greatly lessened the test items and time without losing measurement accuracy.
情绪调节（ER）在个体的幸福感和成功运作中起着至关重要的作用。在本研究中，我们试图开发一种计算机化自适应测试（CAT）来有效评估情绪调节，即CAT-ER。最初的CAT-ER项目库包含来自六个常用情绪调节量表的154个项目，这些项目由在中国招募的887名参与者完成。我们进行了单维性测试、项目反应理论（IRT）模型比较与选择，以及IRT项目分析，包括局部独立性、项目拟合、项目功能差异和项目区分度。最终的CAT-ER保留了63个具有良好心理测量特性的项目。然后，进行了两项CAT模拟研究来评估CAT-ER，结果表明，本研究开发的CAT-ER表现相当不错，因为它在不损失测量准确性的情况下大大减少了测试项目和时间。
