Zagreb, 4th – 6th June 2008

This course focuses on the application of multivariate statistical methods in a research environment. The topics include multivariate linear modeling techniques such as MANOVA, multivariate regression, discriminant function analysis, and canonical correlation analysis; multivariate models for repeated measures analysis; dimension reduction techniques such as principal components analysis; exploratory factor analysis; and analysis of structure including confirmatory factor analysis and structural equation modeling techniques. The course concludes with a chapter about multivariate data preparation and assumptions checking.

Learn how to:

• perform multivariate analysis of variance (MANOVA) and multivariate regression analysis
• perform canonical correlation and discriminant function analyses
• perform principal components analysis
• perform exploratory and confirmatory factor analysis
• use structural equation modeling.