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Latent Growth Curve 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 basic, multilevel or combination versions are fine for this course.
Who is the course aimed at?
This course is aimed at those with previous knowledge of Mplus and Structural Equation Modelling who now wish to use the software for and expand their skills to cover Latent Growth Curve Modelling (LGCM).
As such it is an ideal follow on course for individuals or groups who have previously taken our introductory course in Structural Equation Modelling, or as a
the second day of a two-day inhouse course, with the first day being the introductory course in Structural Equation Modelling.
Course level:
A basic knowledge of the Mplus language (nothing more than reading data in, running files and the ON, WITH commands) - and of the ideas behind
SEM / Path Analysis (nothing more than understanding what a latent variable is, and how models and model improvement are tested e.g. basic fit indices, chi-square tests) is required. No previous knowledge or experience with running LGCMs is assumed.
Course content and aims:
The course will cover the following topics:
Introduction to Latent Growth Curve Modelling - what is it and why do we need it?
The structure of a basic Latent Growth Curve Model
Fitting a basic Latent Growth Curve Model using Mplus
Comparing competing Latent Growth Curve Models
Latent Growth Curve Models with time-invariant and time-varying covariates
Parallel Process Latent Growth Curve Models
Multiple Group Latent Growth Curve Models
Piecewise Latent Growth Curve Models
Latent Growth Curve Models with latent indicators
The course comprises of a mixture of short lectures on the
basic theory behind Latent Growth Curve 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.
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 for the basics of
performing LGCM in Mplus, 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 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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