IBM SPSS - 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 the data where observations are not independent.  Although this course is aimed to be practically orientated with extensive use of the IBM SPSS statistical package, theoretical considerations related to the selection of an appropriate statistical test as well as assumptions involved are addressed.

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.

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
• Use of syntax

Prerequisites / assumed knowledge

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