Analysis of consumer data – C14 – Combining data sets to visualise the link between product characteristics & preferences – External preference mapping (On Demand)

A graphical technique to visualise how liking (by individual consumer or on average) varies over a product space and to thus predict “sweet spots” in the sensory space.

What this course will cover:

• Overlaying liking on sensory/CATA product map either using mean scores or by fitting models to all respondents individually. 
• Models used : vector, circular, elliptical, quadratic – differences explained 
• Discussion of both approaches 
• Estimating the sensory range for ideal products 
• XLSTAT PREFMAP routine evaluated critically 

Pre-requisite: familiarity with PCA Module 3

This course is not a live session, but an on demand recording you can download instantly, that can then be worked through at your own pace, including workshops with datasets to practice and a certificate of completion at the end. If you wish to experience this as a live session, these are held periodically or you can contact us for a private booking on askqi@qistatistics.co.uk.