Advanced: Linear Mixed Models

Course description

This course builds on the skills taught in the previous courses and aims to introduce a variety of multilevel modelling approaches. Linear Mixed Models can be seen as a generalisation of the General Linear Model (GLM) family that can handle data where observations are not independent. Theoretical considerations related to the selection of an appropriate statistical test, as well as assumptions involved, are addressed.

The course is aimed to be practically oriented with extensive use of the IBM SPSS and Stata statistical packages.

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event. Please contact stats.consultant@flinders.edu.au if you have any questions relating to this course.

Type of course

Web conference

Presenters

Who should attend

Staff and Research Higher Degree Students

What you will learn

• Meaning of nesting/clustering
• Introduction to LMM
• Multilevel models for clustered data
• Assumptions related to the statistical techniques listed above

Prerequisites / assumed knowledge

Preferably participants should attend most of the intermediate level workshops with Intermediate: Advanced Statistical Techniques for Difference Questions and Intermediate: Multiple Regression being the most important ones (or have an understanding of concepts/skills covered in those introductory and intermediate courses) before enrolling in this workshop.