June 2025 Live Online Short Course
Advanced Multilevel Analysis I:
Growth Models, Mediation, and Moderation
Dr. Gilad Chen
Session I: June 2-5 | 10:00 AM EDT – 3:00 PM EDT
Course Description
This CARMA Advanced Multilevel Analysis short course provides both (1) the theoretical foundation, and (2) the resources and skills necessary to conduct basic and advanced multilevel analyses. The course covers both basic models (e.g., 2-level mixed and growth models), and more advanced topics (e.g., 3-level models, multilevel moderated-mediation models, and multiple-unit multilevel models). Practical exercises, with real-world research data, are conducted in R and Mplus. Participants are encouraged to bring datasets to the course and apply the principles to their specific areas of research. The course is best suited for faculty and graduate students who have at least some foundational understanding of conducting multilevel analyses.
Module 1: Basic mixed effects (2-level) models, testing in R and Mplus
Module 2: Longitudinal studied in R and Mplus: within-person experiential sampling methods and growth models
Module 3: Complex multilevel models part 1: 3-level models in R and moderated-mediation models in Mplus
Module 4: Complex multilevel models part 2 (plus open discussion and consultations): Multiple unit memberships in R (using lme4 package)
Required Software: R (download here), R Studio (download here)
Meet the Instructor
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.
