Submitted by zhenli on Wed, 08/01/2018 - 09:59
| Title | Latent Class Analysis of Recurrent Events in Problem-Solving Items |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Xu, H, Fang, G, Chen, Y, Liu, J, Ying, Z |
| Journal | Applied Psychological Measurement |
| Volume | 42 |
| Number | 6 |
| Pagination | 478-498 |
| Abstract | 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. |
| URL | https://doi.org/10.1177/0146621617748325 |
| DOI | 10.1177/0146621617748325 |