Introduction to Latent Growth Curve Modelling using Mplus
This course is promoted by Falcon Training
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. As such it is an ideal follow on course for individuals or groups who have previously taken our introductory course in Structural Equation Modelling.
A basic knowledge of the Mplus language and the ideas behind SEM / Path Analysis will be advantageous to participants. No previous knowledge or experience with running LGM using Mplus software 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 couple 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 70-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 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.
Multilevel Modelling , Hierarchical models, Mixed models, Random effects, Longitudinal Data Analysis, Panel data models, Cross-lagged panel models, Growth curve models, Latent Variable Models, Latent profile analysis, Confirmatory factor analysis, Structural equation models, Quantitative Software, Mplus, SPSS