This course is available as a pre-recorded on demand training session. (You can check our website for details of any upcoming live sessions)
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 basic statistics e.g. as in Module C01 and C02 (available as pre-recorded on demand sessions on our website) and Principal Components Analysis (PCA) as in Module C3
Software used: XLSTAT (free 14-day trial version is available from their website here), Qi RShiny app – LOVR (demo version included with course)
Course materials for this training (slide deck of webinar presented slides, workshops and datasets) are available to download – see relevant pages as you progress through the course
This is just one module from the Statistical analysis of consumer data training course. For a full list of other course modules have a look at our website here: https://www.qistatistics.co.uk/product-category/training/ – also shown in the infographic at the end of the course.
Course materials for this training (slide deck of webinar presented slides, workshops and datasets) are available to download - see relevant pages
