Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS
Business Knowledge Series course
Presented by Mike Patetta, Analytical Training Consultant, Education Division, SAS
This course teaches how to identify complex and dynamic patterns within multilevel data to inform a variety of decision-making needs. The course provides a conceptual understanding of multilevel linear models (MLM) and multilevel generalized linear models (MGLM) and their appropriate use in a variety of settings.
The self-study e-learning includes:
Who should attendResearchers in psychology, education, social science, medicine, and business, or others analyzing data with multilevel nesting structure
Before attending this course, you should:
This course addresses SAS/STAT software.
Introduction to Multilevel Models