This workshop, presented by Dr. Tenko Raykov, deals with introductory and intermediate aspects of the increasingly popular methodology of structural equation modeling (SEM) in the behavioral, educational, social, business, marketing, and biomedical disciplines. The workshop begins with a coherent introduction to the basics of the methodology, including model identification issues, implied covariance and mean structure, parameter estimation, robust maximum likelihood estimation, and model fit evaluation. Longitudinal data analysis is subsequently focused on, including issues pertaining to fitting unconditional and conditional (covariate based) models to data from repeated measure studies. Throughout the workshop, multiple use of numerical data and examples are utilized and the popular latent variable modeling program Mplus is employed. The workshop is geared toward graduate students and faculty from the social, behavioral, educational, biomedical and business sciences.

Location:	106 Farrall Agricultural Engineering Hall [map]
Price:	Free to Graduate Students, Faculty and Research Staff
Sponsor:	public
Contact:	Dr. Brian Silver bsilver@msu.edu 517-353-9288
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