 |
Statistical and Data Management Training Courses available on an inhouse basis:
Introduction to Latent Growth Curve Modelling using Mplus
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. You will also receive a 80-page coursebook containing all the notes and worked examples, providing an easy reference for the basics of
performing LGM in Mplus, and as a reminder for the techniques you have learned.
Course timings:
The course fits into a full day, starting at 9.15am and finishing at around 5.30pm,
with a 45 minute lunch break, and short mid-morning and afternoon coffee breaks.
Transport timings for my return journey permitting, I am always willing to stay on for a while after the end of the course to answer questions pertinent to participants' own data sets.
The teacher:
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. He is a member of the ASSESS (UK SPSS Users Group) Committee,
and runs courses for ASSESS, inhouse courses at UK Universities and
public sector institutions and public training courses based at the University of Sheffield.
|