Statistical analysis of consumer data – Module C14 – Combining data sets to visualise the link between product characteristics & preferences – External preference mapping
Product code: Product Optimisation
Remote training
November 6, 2024 - November 6, 2024
Virtual option available
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 3a
This course is a live session, but a recording can also be purchased afterwards. Please contact us.
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$261.56 (Excluding any applicable taxes)