ABOUT THE COURSE
This workshop is designed to provide participants experience using statistical methods that can help them make sense of data when there are a large number of variables and/or cases. The workshop will first cover the basic principles of constructing and testing multivariate statistical models. Next, participants will be introduced to three fundamental multivariate methods: principal component analysis, factor analysis, and cluster analysis. Besides having practical utility, the three methods provide an essential background for learning other multivariate techniques in the future. Students will gain experience applying each of the three methods on real datasets with SAS statistical software.
Prerequisites: Participants should have some knowledge of introductory statistics, including variance, correlation, regression, and hypothesis testing.
TARGET PARTICIPANTS:
Middle and Senior Level Officers of Planning, Research and Statistics Departement that are interested in:
MODULE 1:
MODULE 2: (Brief daily outline or expectations.)
MODULE 3:
Topics in Exploratory Factor Analysis
MODULE 4: (Brief daily outline or expectations.)