TY - JOUR T1 - Latent Class Analysis of Recurrent Events in Problem-Solving Items JF - Applied Psychological Measurement Y1 - 2018 A1 - Haochen Xu A1 - Guanhua Fang A1 - Yunxiao Chen A1 - Jingchen Liu A1 - Zhiliang Ying AB - Computer-based assessment of complex problem-solving abilities is becoming more and more popular. In such an assessment, the entire problem-solving process of an examinee is recorded, providing detailed information about the individual, such as behavioral patterns, speed, and learning trajectory. The problem-solving processes are recorded in a computer log file which is a time-stamped documentation of events related to task completion. As opposed to cross-sectional response data from traditional tests, process data in log files are massive and irregularly structured, calling for effective exploratory data analysis methods. Motivated by a specific complex problem-solving item “Climate Control” in the 2012 Programme for International Student Assessment, the authors propose a latent class analysis approach to analyzing the events occurred in the problem-solving processes. The exploratory latent class analysis yields meaningful latent classes. Simulation studies are conducted to evaluate the proposed approach. VL - 42 UR - https://doi.org/10.1177/0146621617748325 ER -