Experimental Design & Analysis for Market Research

Objectives

This two day course gives a broad introduction to the principles of good experimental design and analysis of such experiments. At the end of the course participants will be able to use simple design concepts to help develop or improve existing products or processes.

Training Outline

• Introduction - why properly designed experiments are so important
• Replication - How large should my experiment be?
• Designing consumer trials, balance and incomplete blocks
• Experimental Responses - measured variables or defect proportions
• Factorial Experiments - interpretation of interactions
• Screening Designs - which factors are most important
• Designs for product or process optimisation
• Optimisation Experiments - response surface designs

Software

The course can be run using any statistics software package (eg SAS, SPSS, MINITAB, STATGRAPHICS, STATISTICA) or specialist design software such as DESIGN EXPERT, MODDE, E-CHIP.

Style

The course contains a mixture of formal training sessions and practical workshops where participants can analyse data from structured exercises using the chosen software. We prefer to run the course using customised data from the participants' own environment but off the shelf data sets can be used.