Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS (Flipped Classroom)
Business Knowledge Series course
Presented by Catherine Truxillo, Director, Analytical Education from SAS North Carolina.
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. Learn how to
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
It is recommended that you complete SAS Programming 1: Essentials and Statistics 2: ANOVA and Regression or have equivalent knowledge before taking this course.
This course addresses SAS/STAT software.
Introduction to Multilevel Models
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This course is not currently scheduled in the classroom. Contact us to discuss public schedule dates or private training options for your group.