Multilevel Modelling using Mplus
This course is promoted by Falcon Training
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.
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
and if time allows...
- Fitting a multilevel SEM to test for mediation
The course comprises of a lecture on the basic theory behind Multilevel Modelling, 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 70-page coursebook containing all the notes and worked examples, providing an easy reference for the basics of performing MLM in Mplus, and as a reminder for the techniques you have learned.
Course schedule:The course will start at 9.15am, with a lunch break from 1pm-2pm, and short coffee breaks at 11.30am and 3.30pm. It will finish at around 5.15pm, though I will be willing to stay on for a while after this to answer questions pertinent to participants' own data sets.
Dr Chris Stride has been using MPlus in his work as a statistician and data manager for the last 15 years. 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 a member of the ASSESS (UK SPSS Users' Group) Committee; and has run many training courses at the University of Sheffield, for the UK SPSS users group, at national and international conferences, and on an inhouse basis for Universities and the public sector.
Levels of measurement, Variance estimation, Regression Methods, Linear regression, Multilevel Modelling , Hierarchical models, Mixed models, Random effects, Longitudinal Data Analysis, Latent Variable Models, Confirmatory factor analysis, Structural equation models, Quantitative Software, Mplus, SPSS, Mediation