This Multilevel Modeling of Hierarchical and Longitudinal Data using SAS training 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.
By attending Multilevel Modeling of Hierarchical and Longitudinal Data using SAS workshop, delegates will learn to:
- Use basic multilevel models.
- Use three-level and cross-classified models.
- Use generalized multilevel models for discrete dependent variables.
- Be familiar with the basic structure and concepts of SAS (for example, the DATA step and procedures).
- Be familiar with concepts of linear models such as regression and ANOVA and with generalized linear models such as logistic regression.
- Be familiar with linear mixed models to enhance understanding, although this is not necessary to benefit from the course.
The Multilevel Modeling of Hierarchical and Longitudinal Data using SAS class is ideal for:
- Researchers in psychology, education, social science, medicine, and business, or others analyzing data with multilevel nesting structure