Hongyun Liu and Yueqin Hu, Beijing Normal University
Exploring Intensive Longitudinal Data Analysis: Challenges and Advances in Measurement and Modeling
about the speaker (primary author)
Hongyun Liu is a professor in the Faculty of Psychology at Beijing Normal University, China. She earned her Ph.D. in Measurement and Psychometrics from BNU in 2003. Dr. Liu has made substantial contributions to her field through impactful research and teaching. Her work encompasses diverse areas, including advanced data analysis methods for intensive longitudinal studies, latent class mixture modeling, and psychometric approaches for process data.
Dr. Liu has authored over 260 research articles, with recent publications appearing in leading journals such as Psychological Methods, Structural Equation Modeling, Psychometrika, and Behavior Research Methods. Her research not only advances theoretical frameworks but also offers practical solutions to real-world challenges in education and psychology.
In addition to her scholarly work, Dr. Liu actively contributes to the professional community. She serves as an Associate Editor of Psychometrika and holds leadership roles in various national and international organizations. She is the Executive Director and Vice Chairman of the Education Statistics and Measurement Society and the Chairman of the Educational Measurement and Evaluation Professional Committee.
Dr. Liu’s achievements have been recognized with numerous awards, including the First Prize for Research Achievements in Education Curriculum (2010), the Special Prize of the 13th and the 17th Beijing Outstanding Achievement Award in Philosophy and Social Sciences (2014 and 2023), the 20th Beijing Distinguished Teaching Award, and the National First-class Online Undergraduate Course Award, among others. Her dedication to advancing psychological and educational research, coupled with her leadership and teaching excellence, has solidified her reputation as a leading figure in her field in China.
about the speaker (second author)
Yueqin Hu is a professor in the Faculty of Psychology at Beijing Normal University, China. She received her Ph.D. in Quantitative Psychology from the University of Virginia in 2013. She then held academic positions at Texas State University and Beijing Normal University, where she has been actively engaged in teaching and research in psychometrics and statistical modeling.
Dr. Hu’s research focuses on developing innovative analytic methods for intensive longitudinal data and applying them in health psychology. Her work integrates approaches such as dynamical systems analysis, machine learning, and multimodal assessment to identify predictive factors and underlying mechanisms related to maintaining health behaviors, coping with stress, and the onset of emotional disorders.
She has published over 50 peer-reviewed articles. Her methodological contributions have appeared in journals such as Psychological Methods, Behavior Research Methods, and Structural Equation Modeling, while her applied research has been featured in Health Psychology and JAMA Psychiatry. Dr. Hu has led eight research projects, including both government-funded grants and industry collaborations, securing over one million USD in total funding.
She currently serves as an Associate Editor for the SSCI journal Mindfulness and sits on the editorial board of the Journal of Psychology. She is an active member of the Psychometric Society and serves on the academic committee of the Behavioral and Health Psychology Division of the Chinese Psychological Society.
Dr. Hu is dedicated to bridging the gap between statistical methodology and psychological applications, with the goal of advancing cutting-edge measurement and analytic techniques in the field of health psychology.