Multivariate Analysis
Analysing and interpreting data using multivariate methods
Objective
This course enables you to:
- understand and use multivariate methods to analyse and interpret market research data.
Learning outcomes
By the end of the course, delegates should have an understanding of:
- modelling survey tabulations/correspondence analysis
- factor analysis
- cluster analysis
- regression analysis (including logistic regression and discriminant analysis)
- beyond regression analysis - ridge regression, partial least squares, structural equation modelling
- automatic interaction detector (AID) and CHAID/CART
- conjoint analysis
- pattern analysis/market basket analysis
- data mining
- data fusion
Who will benefit?
This course will benefit research practitioners with basic statistical knowledge who are currently using multivariate methods, and those with no knowledge of multivariate methods who would like to find out how they are applied to raw survey data.
NB Delegates do NOT need a high level of mathematics to participate in this course.
Price
- Members £605 + VAT
- Non-Members £910 + VAT
Research Skills: Essentials
Venue: 15 Northburgh Street, London EC1V 0JR
Course convenor
Richard Goosey
Richard is Senior Vice President of Marketing Science and Methodology and a member of the UK Senior Leadership Team of Harris Interactive UK Ltd. He has 24 years experience in the research industry on both supplier and client sides having worked as Principal Statistician at British Gas, Research Manager for BP Oil (UK), Technical Consultant at Unilever, Research Manager at A.C. Nielsen, Chief Statistician at Research International, and global Chief of Measurement Science for NetRatings.
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