Modelling Data in SPSS (SPSSII)

Date:

05/03/2015 - 06/03/2015

Organised by:

Lancaster University

Presenter:

Dr Tom Palmer

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, Lancaster University, Lancaster

Description:

This module builds on previous introductory modules to cover more advanced techniques of statistical analysis. The principles of statistical inference are reviewed and applied to the general linear model. This framework is then extended to a wider class of statistical models, including non-linear, multivariate and non-normal models. The general principles of model selection and hypothesis testing are illustrated in each case by application to substantive issues in real data examples.

Topics covered will be:

General methodology for linear models: ANOVA and ANCOVA models; extensions to: non-linear models, factor analysis, logistic regression and log-linear 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:

Region:

North West

Keywords:

Regression Methods

Related publications and presentations:

Regression Methods

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