Structural Equation Modelling
Date:
20/04/2015 - 21/04/2015
Organised by:
Lancaster University
Presenter:
Dr Andrew Titman
Level:
Intermediate (some prior knowledge)
Contact:
Angela Mercer, Short Course Administrator, Tel: 01524 593064; Email: a.j.mercer@lancaster.ac.uk
Map:
View in Google Maps (LA1 4YF)
Venue:
Postgraduate Statistics Centre, c/o Mathematics and Statistics Department, Lancaster University, Lancaster.
Description:
Outline: This module will introduce participants to latent variables (variables which are not directly measured themselves) and to the use of factor analysis in investigating relationships between latent variables and observed, or measured, variables. These techniques will then be extended into the wider area of structural equation modelling, where complex models involving several latent variables will be introduced.
The module is aimed at researchers and research students who have experience of statistical modelling (up to linear regression) and hypothesis testing, who wish to develop techniques to analyse more complex data involving latent variables. The aim of the module is to provide a background of theory with opportunities to apply the techniques in practice, and each session will consist of a lecture/ demonstration and a practical. The software packages used will be IBM SPSS and AMOS, and while participants will be expected to be familiar with SPSS, no knowledge of the structural equation modelling package AMOS will be assumed.
In summary, the following topics will be covered:
1. introduction to latent variables and measurement error
2. exploratory and confirmatory factor analysis; measurement models
3. structural equation models
4. theoretical issues involved in the development and application of structural equation models.
Cost:
External from industry/commerce - £255 per day;
External from academic institution/public sector/Charity staff - £220 per day;
External postgraduate student £150 per day.
Website and registration:
http://www.lancaster.ac.uk/maths/postgraduate/short-courses-and-cpd/
Region:
North West
Keywords:
Structural equation models
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