Join the Quantitative Psychology area for a talk by Dr. Jean Yueqin Hu (Professor, Faculty of Psychology, Beijing Normal University)!
This is a virtual event. Join the talk using this link.
Title: Practical Strategies for Modeling Intensive Longitudinal Data
Abstract: Intensive longitudinal data (ILD), such as ecological momentary assessment (EMA), offer powerful opportunities to study psychological dynamics, but their analysis is often hindered by practical challenges. This talk focuses on how to evaluate reliability in EMA, how to handle complex and irregular time designs, and how to model dynamic relationships such as bidirectional feedback and interactions. Using dynamic structural equation models and examples from mental health EMA studies, the talk highlights practical strategies for making ILD analyses both feasible and theoretically meaningful, and concludes with perspectives on future methodological directions, including the integration of dynamic models with machine learning and emerging challenges in ILD-based interventions.
About Jean Yueqin Hu: Jean Yueqin Hu is a Professor in the Faculty of Psychology at Beijing Normal University and received her Ph.D. in Quantitative Psychology from the University of Virginia. Her research focuses on methodological advances for intensive longitudinal data, integrating dynamic modeling, machine learning, and multimodal assessment in health and mental health research.