Description: Multilevel models are widely used statistical methods with names such as hierarchical linear models and random or mixed effects models. This workshop presents an introduction to multilevel models featuring their use in both cross-sectional (clustered or nested samples) and longitudinal analyses. By attending the workshop, participants will gain a basic understanding of the modeling approach and will be able to conduct basic multilevel model analyses. The course will feature example handouts and syntax from several statistical packages for multilevel modeling (SAS, SPSS, and Mplus).

Instructor: Jonathan Templin, Associate Professor, University of Georgia

Cost: $525 (includes workshop materials, refreshment breaks, lunch and parking passes each day)

Requirements: Please bring your own laptop computer to participate in this workshop.

Click here to see the complete workshop flyer!

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