‘Interpreting results from statistical modelling – a seminar for social scientists’
Tuesday 29th April 2008
10.30 am – 4.00 pm
Room 227, Skempton Building,
Imperial College, Imperial College Road, South Kensington, London
(map)
The seminar is FREE (including a buffet lunch).
Places are limited to 25.
1 day research seminar
This seminar is designed to provide a unique contemporary review of the ways in which coefficients and results from statistical models are used in social science research. Particular emphasis will be placed on interpreting coefficients from statistical models, with examples drawn from both standard regression models and more complex generalized linear mixed models.
Our Experience has shown that the results of statistical models can easily be misrepresented. In this seminar we demonstrate that the correct interpretation of results from statistical models often requires more detailed knowledge than is commonly appreciated and we illustrate some approaches to best practice in this area.
This seminar is primarily aimed at quantitative social researchers working with micro-social survey data.
Programme: | |
1015-1045 | Coffee / Registration |
1045-1145 | Principles of model construction and interpretation (Dr Vernon Gayle, University of Stirling) |
1145-1245 | Key variables – social science measurement and functional form (Dr Paul Lambert, University of Stirling) |
1245-1345 | Lunch |
1345-1415 | Concepts and measures in occupation-based social classifications (Dr Paul Lambert, University of Stirling) |
1415-1445 | Presenting results from statistical models: Quasi-variance (Dr Vernon Gayle, University of Stirling) |
1445-1500 | Coffee |
1500-1530 | Sample enumeration: Forecasting from statistical models (Dr Vernon Gayle, University of Stirling) |
1530-1600 | Interpreting coefficients in latent class models (Professor Brian Francis, Lancaster University) |
1600 | Close |
This event is now fully booked. Enquires by email to vernon.gayle@stir.ac.uk .
This seminar is part of the activities of ESRC National Centre for Research Methods – Lancaster Warwick Node http://www.maths.lancs.ac.uk/department/specialistGroups/esrcRegional
Last modified 25 April 2008
This document is maintained byVernon Gayle and Paul Lambert