Introduction to Multilevel Modelling using SPSS
Who is the course aimed at?
This course is aimed at two distinct groups. It is primarily designed as a beginners' course in multi-level modelling (AKA Hierarchical Linear Modelling), for those who face the challenge of working with multi-level data sets and want to be able to analyse them in the most powerful and accurate way.
However it should also appeal to those with a little experience of multi-level modelling using other specialist packages who now want to learn how to run such models in SPSS using the MIXED MODELS menu and commands.
Course level:
A reasonable working knowledge of multiple regression and some previous experience of using SPSS to perform statistical analysis is expected. No previous experience of multi-level modelling will be assumed.
Course content and aims:
The course will cover the following topics:
- Introduction to multi-level data - what it is and why it requires special treatment
- Restructuring Data in preparation for multi-level modelling
- What is a multi-level model?
- Building and fitting a multi-level model in SPSS
- Further issues in multi-level modelling: centering, sample size and scaling
- Advanced multi-level models: analysing longitudinal data and cross-sectional data using multi-level modelling in SPSS
