Making Sense of Multivariate Data:- Multivariate Methods for Market Research

What you will gain from this course

You will learn the purpose of each technique used in research, the data structures required and interpretation of the key statistical outputs. We will also discuss how the results should be communicated to a non technical audience.

Pre-requisite
Only basic statistical knowledge is assumed – e.g. means, standard deviations, significance testing.

Course Summary
This training explains the purpose of each technique, how to interpret the statistical outputs and the data structures required. We illustrate the use of the techniques using case studies.

Software
Access to a general statistics package is required to take part in the course workshops and have a go yourselves at analys­­ing some data to fully understand how to apply the methods. We recommend XLSTAT, SPSS or JMP^® but can also advise on the appropriateness of other software packages. Usually free demo versions can be used for the training if the software is not already available, so no purchases are necessary.

Flexibility
We can build a customised training programme to suit your needs in terms of both the software being used and the application areas. We build the training programme from the following list of options after discussion between the client and the trainer.

Course Topics

• Modelling Techniques (any of…)
  • Analysis of Variance
  • Multiple Regression
  • Discriminant Analysis
  • CHAID
  • Logistic Regression
  • Principal Components Regression (PCR)
  • Partial Least Squares (PLS)
  • Structural Equation Modelling /Path PLS
• Clustering Techniques
• Mapping Techniques
  • Principal Component Analysis (PCA)
  • Factor Analysis
  • Correspondence Analysis
  • Multiple Factor Analysis (MFA)
  • Multidimensional Scaling
  • Generalised Procrustes Analysis(GPA)
  • Canonical Variates Analysis (CVA)
• Data Collection Methods
  • MAXDIFF
  • Conjoint Methods
• Other Techniques (by  agreement)