Training and Events
Essential Topics in Multivariate Data Analysis
|University of Hertfordshire|
Dr Neil H. Spencer
20/06/2018 - 21/06/2018
de Havilland campus,
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Dr Neil Spencer
This course is about some of the most commonly used multivariate data analysis techniques (factor, correspondence, cluster and discriminant analysis), focusing on the practical application of the techniques rather than their mathematical complexities.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.
Prior knowledge of hypothesis testing and regression is essential.
Intermediate (some prior knowledge)
Website and registration
East of England
Principal components analysis, Factor analysis, Correspondence analysis, Cluster analysis, Discriminant Analysis , Quantitative Software
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