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The University of Southampton
Southampton Statistical Sciences Research Institute

Structural equation modelling for cross sectional data Event

Time:
09:30 - 17:00
Date:
12 - 13 December 2013
Venue:
Southampton Statistical Sciences Research Institute Building 39 University of Southampton Southampton SO17 1BJ. Participants will need to make their own accommodation arrangements.

For more information regarding this event, please telephone CASS Courses in Applied Social Surveys programme enquiries on +44 (0)23 8059 5376 or email cass@soton.ac.uk .

Event details

This 2-day course will provide an introduction to the structural equation modelling framework and illustrate what it can be used for by substantive analysts across the social sciences.

In addition to covering the core ideas and principles of the SEM framework, course participants will be provided with hands-on experience of fitting a number of structural equation models to publicly available data. The presentation of ideas will be at the conceptual level. Formulae will be kept to a minimum. The focus of the course is on the application of structural equation models for addressing real substantive questions. Lab classes will use the software package Amos and data examples will be drawn from the European Social Survey (ESS).

Course Objectives:
To provide an introduction to structural equation modelling.
To provide hands on training in setting up, running and interpreting models using AMOS

Course Content:
This course will include the following topics:

  • Introduction to structural equation modelling
  • Model fit and model modification
  • The confirmatory factor model
  • The MIMIC model
  • Multiple-group models
  • Mediation models

Target Audience:
The course is aimed at researchers, especially those in the social, educational and medical sciences, PhD students, market researchers and those engaged in research in the public and third sectors who wish to familiarise themselves with structural equation modelling and how it can be used to address substantive research questions.

Find out more about Fees, teaching and reading lists

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Speaker information

Dr Katy Sindall,Lecturer in Social Science Research Methods

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