An Introduction to Latent Variable Models - University of Stirling (Psychology)
Date:
10/09/2015 - 11/09/2015
Organised by:
Ulster University and University of Stirling (Psychology)
Presenter:
Professors Mark Shevlin and Gary Adamson
Level:
Intermediate (some prior knowledge)
Contact:
Mark Shevlin
00 44 28 71 375619
m.shevlin@ulster.ac.uk
Description:
Modelling the Mechanisms of Change – An Introduction to Latent Variable Models.
The School of Natural Sciences at Stirling University is pleased to offer a series of short courses funded by the ESRC under the Advanced Training Initiative 2014. The courses are part of a 3-year programme of training entitled Modelling Mechanisms of Change Using Longitudinal Archived Data. The courses will begin in September 2015 and will provide a comprehensive 2-day introduction to latent variable modeling with an emphasis on longitudinal data analysis.
The courses will be delivered by Professors Mark Shevlin and Gary Adamson from Ulster University in partnership with Psychology at Stirling (http://www.stir.ac.uk/natural-sciences/about-us/psychology/). Professor David Donaldson, Head of Psychology, has facilitated this collaborative event and he noted that it provides a wonderful opportunity for researchers and academics at Stirling, and other Scottish universities, to avail of a comprehensive programme of training in contemporary statistical methods for social scientists.
The courses offered in 2015 will cover the following topics:
- Overview and applications of latent variable models.
- The advantages and disadvantages of longitudinal data
- The Mplus interface and language
- Longitudinal data in Mplus
- Latent variable measurement models
- Mixture models
- Latent growth 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.
What's expected of me?
It is expected that participants will have some knowledge of different variable types (nominal, ordinal, etc.), descriptive statistics and a working knowledge of hypothesis testing prior to taking the course. An understanding of regression and correlation would be a benefit. All materials required for the course will be provided.
The following websites provide accessible overviews of latent variable models.
This is the homepage for the Mplus software. It has links to examples, data, and tutorials.
http://www.statmodel.com
This provides a gentle introduction to latent variable modelling.
http://davidakenny.net/cm/causalm.htm
There are also many online video resources available at Statmodel
https://www.statmodel.com/course_materials.shtml
Cost:
free
Website and registration:
Region:
Scotland
Keywords:
Quantitative Data Handling and Data Analysis, Latent Variable Models
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Latent Variable Models