Multi-Level Models: Theory, Methods, and Analyses
Multi-level models are in vogue these days. Yet much confusion remains regarding their theoretical foundations; sampling, measurement, and experimental designs; and associated analytical techniques. This seminar will focus on how the above facets are all interrelated, highlight critical decision points for researchers, and illustrate advanced inferential and analytic techniques.
- Discern the key theoretical tents of multi-level theorizing
- Describe the role of sampling design and strategies in multi-level investigations
- Recite the different psychometric evidence supporting different types of multi-level constructs
- Arrange and analyze multi-level data sets
- Explain the interrelationship of measurement and substantive relationships in multi-level models
Note. This is designed as a moderate – advanced level seminar. It is assumed that participants have a basic knowledge of aggregation issues and multi-level analyses. Empirical illustrations will be provided in HLM and MPlus.
John Mathieu is a Professor of Management at the University of Connecticut, and holds the Cizik Chair in Management at UConn. His primary areas of interest include models of team and multi-team effectiveness, leadership, training effectiveness, and cross-level models of organizational behavior. He has conducted work with several Fortune 500 companies, the armed services (i.e., Army, Navy, and Air Force), federal and state agencies (e.g., NRC, NASA, FAA, DOT), and numerous public and private organizations. Dr. Mathieu has over 100 publications, 200 presentations at national and international conferences, and has been a PI or Co-PI on over $8.5M in grants and contracts. He is a Fellow of the Society for Industrial/Organizational Psychology, American Psychological Association, and the Academy of Management. He serves on numerous editorial boards and has guest edited special volumes of top-level journals. He holds a Ph.D. in Industrial/Organizational Psychology from Old Dominion University.
Gilad Chen is the Ralph J. Tyser Professor of Organizational Behavior and Department Chair in the Management & Organization Department, at the University of Maryland’s Robert H. Smith School of Business. He received his bachelor degree in Psychology from the Pennsylvania State University, and his doctoral degree in Industrial/Organizational Psychology from George Mason University. 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. He is Fellow of the American Psychological Association, Association for Psychological Science, and Society of Industrial-Organizational Psychology. He is currently serving as Associate Editor of the Journal of Applied Psychology.
Chair: Russell E. Johnson, Broad College of Business, Michigan state University