Multilevel Modelling using Mplus

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 Mplus installed - the multilevel add-on or combination add-on versions are fine for this course.

Who is the course aimed at?
This course is aimed at researchers with a basic competence in Mplus who also have a basic understanding of multilevel modelling and who wish to combine these skills to open up the possibility of running multilevel CFA, multilevel SEM and the easy (or easier!) testing of indirect effects in multilevel scenarios.

This course is not suitable as a complete beginners course in either Mplus or multilevel modelling, though the first lecture will offer a thorough revision session in the latter.

Course level:
Basic competence in Mplus (just the ability to read in data and fit a simple model using the BY, ON and WITH commands, and constrain models using @ or ()s will do) and a basic understanding of multilevel modelling (the idea of partitioning variance in the DV, and of fixed and random effects).

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

  • Introduction to Multilevel Modelling
  • Reading in and defining the data as multilevel
  • Specifying and testing a simple (random intercepts) multilevel model
  • Modelling and explaining variation in slopes
  • Exploring the different types of, and options for centering
  • Testing a cross-level interaction effect
  • Multilevel CFA: comparing potential multilevel measurement models
  • Multilevel mediation models: 1-1-1 mediation, 2-2-1 mediation and 2-1-1 mediation
  • Fitting a multilevel SEM to test for mediation

    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.

    Purchasing the courses gives you permament access to approximately 8 hours of pre-recorded lectures and demonstrations. 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.

    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 Mplus 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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