Multilevel Modelling using SPSS

Always available: Pre-recorded online delivery

This course is promoted by Falcon Training

NOTE - this course requires you to have access to a laptop or PC with SPSS installed - any of versions v21 onwards will do.

Who is the course aimed at?
This course is aimed at two distinct groups. It is primarily designed as a beginners' course in multilevel modelling (AKA Hierarchical Linear Modelling), for those who face the challenge of working with multilevel 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 multilevel 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 multilevel modelling will be assumed.

Course content and aims:
The course will cover the following topics:

  • Introduction to multilevel data - what it is and why it requires special treatment
  • Restructuring Data in preparation for multilevel modelling
  • What is a multilevel model?
  • Building and fitting a multilevel model in SPSS
  • Further issues in multilevel modelling: centering, sample size and scaling
  • Analysing longitudinal data using multilevel modelling in SPSS

    The course comprises of a mixture of short lectures on the basic theory behind multilevel models, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 80-page coursebook containing all the notes and worked examples, providing an easy reference and reminder for the techniques you have learned.

    Purchasing the courses gives you permament access to approximately 8 hours of pre-recorded lectures and demonstrations. You will also receive a 70-page coursebook containing all the notes and worked examples, providing an easy reference for the basics of performing multilevel modelling in SPSS, and as a reminder for the techniques you have learned.

    Course schedule: Including time for you to complete the various end-of-section exercises, the course should take approximately 8-10 hours to complete, though you can obviously choose to work through it in a number of shorter sessions.

    The teacher:
    Dr Chris Stride has been using SPSS in his work as a statistician and data manager for the last two decades. He has particular experience and expertise in teaching non-statisticians from the fields of psychology, HR, management and the social sciences. Chris is a Chartered Statistician, and has run over 200 public training courses around the world, at national and international conferences, and on an inhouse basis for Universities and the public sector.

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