Event Date
Speaker: Xueying Tang (Assistant Professor, Mathematics, University of Arizona)
Title: "Subtask Analysis of Process Data Through a Predictive Model"
Abstract: In classic tests, item responses are often expressed as univariate categorical variables. Computer-based tests allow us to track participants’ entire problem-solving processes through log files. Such response process data contain rich information about respondents’ behavioral patterns and cognitive processes. However, standard statistical tools are not directly applicable because of the irregular data format and high noise level. In this talk, we introduce a method for effectively exploring respondents’ problem-solving strategies exhibited in their process data. This method segments a lengthy and noisy process into a sequence of subtasks to achieve complexity reduction, easy visualization, and meaningful interpretation. The segmentation is based on sequential action predictability measured by the Shannon entropy. The performance of the new method is examined through simulation studies and a case study of process data from the 2012 Programme for the International Assessment of Adult Competencies.
About the speaker: Xueying Tang is an Assistant Professor in the Department of Mathematics at University of Arizona. Her research areas include high dimensional Bayesian statistics, latent variable models and their application in Education and Psychology.
Seminar Date/Time: Thursday June 10, 4:10pm
This seminar will be delivered remotely via Zoom. To access the Zoom meeting for this seminar, please contact the instructor Professor Jairo Fùquene Patiño or Pete Scully (pscully@ucdavis.edu) for the meeting ID and password, stating your affiliation.