  With increasingly available computer-based or online assessments, researchers
have shown keen interest in analyzing log data to improve our understanding of
test takers' problem-solving processes. In this paper, we propose a multi-state
survival model (MSM) to action sequence data from log files, focusing on
modeling test takers' reaction times between actions, in order to investigate
which factors and how they influence test takers' transition speed between
actions. In particular, we focus on the effects of the occurrence and timing of
key actions that differentiate correct answers from incorrect answers. We
demonstrate our proposed approach with problem-solving test items from the the
Programme for International Assessment of Adult Competence (PIAAC)
problem-solving test items.
