%0 Journal Article
%T Latent Class Analysis of Recurrent Events in Problem
%A Guanhua Fang
%A Haochen Xu
%A Jingchen Liu
%A Yunxiao Chen
%A Zhiliang Ying
%J Applied Psychological Measurement
%@ 1552-3497
%D 2018
%R 10.1177/0146621617748325
%X 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 ˇ°Climate Controlˇ± 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
%K computer-based assessment
%K complex problem-solving
%K process data
%K event history analysis
%K random effect
%K frailty
%K recurrent event
%K PISA 2012
%U https://journals.sagepub.com/doi/full/10.1177/0146621617748325