Multilevel Modeling of Hierarchical and Longitudinal Data Using 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:
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
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS (14.2) (PDF + virtual lab)||14.0 hours||180 days from order date||English||10 710 SEK|