Workshop 6: Bayesian Longitudinal Data Modeling
Time: 1pm-4pm, July 3, China Time / 1am-4am, July 3, US Eastern Time
Location： In person at Fudan University and on Zoom (Free Registration)
This workshop is supported by the William K. and Katherine W. Estes Fund that is jointly overseen by the Association for Psychological Science and the Psychonomics Society.
Modeling longitudinal data is one of the most active areas of research in social, behavioral, and education sciences because longitudinal data can provide valuable insights into change and causal relationships. The application of Bayesian methods in longitudinal research has gained increasing popularity. This interactive workshop focuses on Bayesian methods in analyzing longitudinal data. Particularly, it will cover topics on growth mixture modeling, missing data analysis, and Bayesian model assessment. Concrete examples will be provided to illustrate how to compute, report, and interpret Bayesian modeling results with empirical psychological data.
Xin Cynthia Tong -- University of Virginia
Dr. Tong is an associate professor at the University of Virginia. Her research focuses on developing and applying statistical methods in the areas of developmental and health studies. Methodologically, she is interested in Bayesian methodology, growth curve modeling, and robust structural equation modeling with nonnormal and missing data. Substantively, she is interested in analyzing the longitudinal development of cognitive ability and achievement skills.
(1) Introduction to Social Network Analysis by Prof. Haiyan Liu from UC-Merced
(2) Longitudinal Data Analysis by Prof. Hongyun Liu from Beijing Normal University
(3) Practical Mediation Analysis by Prof. Laura Lu from University of Georgia and Prof. Qian Zhang from Florida State University
(4) Deep Learning Using R by Prof. Johnny Zhang from University of Notre Dame
(5) From Latent Class Model to Latent Transition Model Using Mplus by Prof. Hawjeng Chiou from National Taiwan Normal University
(6) Bayesian Longitudinal Data Modeling by Prof. Cynthia Tong from University of Virginia
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The meeting is jointly supported by the International Society for Data Science and Analytics, the Society of Multivariate Experimental Psychology, the Fudan Institute for Advanced Study in Social Sciences, the College of Management of National Taiwan Normal University, and the Nanjing University of Posts and Telecommunications.
Selected papers will be published in the following journals: Fudan Journal of the Humanities and Social Sciences, Chinese Political Science Review, and Journal of Behavioral Data Science.
National Taiwan Normal University
University of Texas at Dallas
Beijing Normal University
Nanjing University of Posts and Telecommunications
University of Notre Dame
University of Notre Dame
Mail: P.O.Box 1471, ISDSA, Granger, IN 46530