Dr. Gilad Chen
University of Maryland

Session abstract

This lecture will discuss basic and advanced multilevel analyses, using random coefficient modeling (RCM) in R.  The lecture will start by laying out a foundation for analyzing two-level models in RCM, where the dependent variable is at the lower level (Level 1), and predictors are at both the lower level (Level 1) and a higher-level unit (Level 2).  The lecture will then apply RCM to multilevel longitudinal models involving growth, and consider more complex models, including 3-level models and models involving contextual influences emanating from multiple units simultaneously.  Empirical examples will be provided, along with R codes and data to analyze and apply each of the RCM models discussed.

Presenter biography

Dr. Gilad Chen is the Robert H. Smith Chair in Organization Behavior at the University of Maryland’s Robert H. Smith School of Business. He received his bachelor’s degree in Psychology from the Pennsylvania State University in 1996, and his doctoral degree in Industrial/Organizational Psychology from George Mason University in 2001. Prior to joining the Smith School, Dr. Chen was on the faculty at the Georgia Institute of Technology and Texas A&M University, and a visiting scholar at various other universities.

Dr. Chen teaches courses on a variety of organizational behavior, human resource management, and methodological topics. His research focuses on work motivation, adaptation, teams and leadership, with particular interest in understanding the complex interface between individuals and the socio-technical organizational context. He has won several research awards, including the 2007 Distinguished Early Career Contributions Award from the Society for Industrial and Organizational Psychology, and the 2008 Cummings Scholar Award from the Organizational Behavior Division of the Academy of Management. Dr. Chen is also an elected Fellow of the Academy of Management, American Psychological Association, Association for Psychological Science, and Society of Industrial-Organizational Psychology. His research has appeared in such journals as the Academy of Management Journal, Journal of Applied Psychology, Journal of Organizational Behavior, Personnel Psychology, Organizational Behavior & Human Decision Processes, and Research in Organizational Behavior. He served as Editor of the Journal of Applied Psychology, and as an editorial board member of several leading psychology and management journals.