Essential Topics in Multivariate Data Analysis

Date:

14/07/2015 - 15/07/2015

Organised by:

University of Hertfordshire

Presenter:

Dr Neil H. Spencer

Level:

Intermediate (some prior knowledge)

Contact:

Dr Neil H. Spencer
01707 285574
statistics@herts.ac.uk

Map:

View in Google Maps  (AL10 9EU)

Venue:

de Havilland campus,
University of Hertfordshire,
Hatfield,
Herts.

Description:

This course is aimed at those who want to gain an understanding of some of the most commonly used multivariate analysis methods, namely factor analysis, correspondence analysis, cluster analysis and discriminant analysis. These techniques are used in a range of disciplines and examples used in the course will be accessible to all audiences including PhD students, researchers and those who need to use these techniques in the workplace. The use of a custom-built add-in for Microsoft Excel makes the analyses possible for all with even basic tools at their disposal.

The topics covered in this course are factor analysis (including principal components analysis), correspondence analysis, cluster analysis, discriminant analysis. These topics will be demonstrated using SPSS and a custom-built add-in for Microsoft Excel.

Prior knowledge of hypothesis testing  and regression is essential.

Topics on this course are also available as part of our “Pick & Mix” range. Please note that by doing this course, you are obtaining a discount on the fees for undertaking the individual “Pick & Mix” elements.

See our full range of courses (including our “Pick & Mix” selection) at http://go.herts.ac.uk/sscu.

Cost:

£499

Website and registration:

Region:

East of England

Keywords:

Principal components analysis, Factor analysis, Confirmatory factor analysis, Correspondence analysis, Cluster analysis, Quantitative Software, Excel, SPSS, Creating graphs and charts, Statistics , Discriminant analysis

Related publications and presentations:

Principal components analysis
Factor analysis
Confirmatory factor analysis
Correspondence analysis
Cluster analysis
Quantitative Software
Excel
SPSS
Creating graphs and charts

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