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:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
Naucz się
- Use basic multilevel models.
- Use three-level and cross-classified models.
- Use generalized multilevel models for discrete dependent variables.
Kto powinien uczestniczyć
Researchers in psychology, education, social science, medicine, and business, or others analyzing data with multilevel nesting structure
Before attending this course, you should:
- Preferably, 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.
It is recommended that you complete Programowanie w SAS część 1: podstawy and Statystyka 2: analiza wariancji i regresja or have equivalent knowledge before taking this course.
To szkolenie wykorzystuje oprogramowanie SAS/STAT
