A Polytomous Extension of the Higher-order, Hidden Markov Model with Hierarchical Trajectories

• In Event: Cognitive Diagnostic Models I

Abstract

In this paper, a new method called PHO-HMM was suggested for analyzing polytomous response data to accurately track students’ learning progress over time. The results of both simulation and empirical studies demonstrated that the PHO-HMM model can be effectively used for longitudinal polytomous response data.

Authors

• Danhui Zhang, Beijing Normal University

• Shixiu Ren, Beijing Normal university

• Xin Xu, Beijing Normal University

• Xintong Shan, Beijing Normal University