Training and Events
Modelling Mechanisms of Change 2017 - University of Stirling (Psychology)
|Ulster University, University of Stirling|
Prof Mark Shevlin and Prof Gary Adamson
Stirling University, Stirling FK9 4LA
View in Google Maps (FK9 4LA)
Mark Shevlin, 00 44 2871 375619
Modelling the Mechanisms of Change Using 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. 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 (30th to 31st August) 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 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 2017 will cover the following topics:
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.
This provides a gentle introduction to latent variable modelling.
There are also many online video resources available at Statmodel
Intermediate (some prior knowledge)
Website and registration
Quantitative Data Handling and Data Analysis, Regression Methods, Longitudinal Data Analysis, Latent Variable Models
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