PDHP resumes our 2021 workshop series on Thursday, August 19th, with a workshop entitled Introduction to Multilevel Models, presented by Dr. Kris Preacher of Vanderbilt University's Quantitative Methods program (within the Department of Psychology and Human Development). This half-day workshop is geared toward data analysts and researchers of all levels, particularly those performing analysis on hierarchically clustered (nested) data using Mplus, R, or SPSS. Attendees will receive an introduction to the key concepts of multilevel models (appropriate settings for their use over standard statistical models, equation conventions, and interpretation), as well as hands-on practice implementing state-of-the-art features of MLM using popular statistical software packages.

Topics include:

• Key concepts and motivation for MLM vs. standard statistical models
• Estimating and plotting interaction effects
• Implications of nested vs. cross-classified mutlilevel data
• Power analysis for MLM using a general Monte Carlo technique

Registration Required

https://pdhp.isr.umich.edu/workshops/

Dr. Preacher is a Professor in the Quantitative Methods program and Department of Psychology and Human Development at Vanderbilt University. His research concerns the use (and combination) of structural equation modeling and multilevel modeling to model correlational and longitudinal data. Other interests include developing techniques to test mediation and moderation hypotheses, bridging the gap between substantive theory and statistical practice, and studying model evaluation and model selection in the application of multivariate methods to social science questions. He serves on the editorial boards of Multivariate Behavioral Research, Behavior Research Methods, Communication Methods and Measures, and Journal of Educational & Behavioral Statistics, and is an associate editor of Psychological Methods.

The Population Dynamics and Health Program (PDHP) provides resources and services that support innovative approaches to data collection and analysis and the development of early-career population scientists, as well as research on significant and emergent issues in population dynamics and health.