Modelling the Mechanisms of Change Using Latent Variable Models.
Date:
15/12/2016 - 16/12/2016
Organised by:
Ulster University
Presenter:
Professors Mark Shevlin and Gary Adamson
Level:
Intermediate (some prior knowledge)
Contact:
Mark Shevlin, 02871 375619, m.shevlin@ulster.ac.uk
Description:
Modelling the Mechanisms of Change Using Latent Variable Models.
The School of Psychology at Ulster University is pleased to offer a series of short courses funded by the ESRC under the Advanced Training Initiative. The courses are part of a 3-year programme of training entitled Modelling Mechanisms of Change Using Longitudinal Archived Data. This year’s course will run for 2 days (15th to 16th December 2016) and will provide an introduction to latent variable modelling with an emphasis on longitudinal data analysis. The course is free of charge and available and is available to all social science research students, early career researchers, and academic staff.
The course will be delivered by Professors Mark Shevlin and Gary Adamson from Ulster University.
The courses offered in 2016 will cover the following topics:
- Overview and applications of latent variable models.
- The Mplus modelling framework.
- Path analysis and mediation models.
- Cross-lagged panel models
- Latent growth models.
- Mixture models.
- Growth mixture models.
All analyses will be conducted using the SPSS and Mplus software packages. Each day will conclude with a questions and answers session and there will be opportunities for the participants to discuss their own studies with the tutors.
Cost:
free
Website and registration:
Region:
Northern Ireland
Keywords:
Quantitative Data Handling and Data Analysis, Longitudinal Data Analysis, Cross-lagged panel models, Growth curve models, Growth mixture models, Latent class growth analysis, Latent Variable Models, Latent class analysis, Factor analysis, Structural equation models
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis
Cross-lagged panel models
Growth curve models
Growth mixture models
Latent class growth analysis
Latent Variable Models
Latent class analysis
Factor analysis
Structural equation models