Preference Mapping using XLSTAT, June 25th, 2020

This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.

Preference Mapping using XLSTAT

The remote learning package consists of a live interactive lecture delivered online by one of the Qi Statistics team, together with workshops for you to complete in your own time (solutions and data sets provided), plus a pdf of the lecture notes and email support whilst you are completing the workshop after the course for up to 2 weeks. More than just a recorded webinar and as close to face-to-face training as it can be!

This module focuses on the statistical techniques and routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures, focussing on application and interpretation of preference mapping, as the technique is more widely known as.

The course content is as follows:

  • What is preference mapping?
  • “Internal” mapping v “External” mapping
  • Internal mapping using PCA -methods, applications and interpretation
  • External mapping using XLSTAT PREFMAP, regression approach, available models
  • Mapping using different metrics, overall liking means, cluster means, individual liking scores
  • Interpretation of maps, where is my optimal product?
  • PREFMAP predictions
  • What characteristics does my optimal product have?

An extensive set of exercises with solutions (explanation of statistics and interpretation of maps) will be included as part of the training.

To be able to perform the exercises you will need a full demo-version of XLSTAT (or licensed copy of XLSTAT Basic + Sensory Methods module).

Length of Session:

Approx 1hr + workshops (also available at alternative time for other time zones – see course listings)

Course Pre-Requisites:

A basic understanding of statistics is assumed i.e. knowledge of statistical terminology and summary measures such as mean, variance, standard deviations.













Hal Macfie

Dr. Hal MacFie is a statistician by training, with an international reputation in the areas of product assessment and consumer research. He is a Visiting Professor at the Universities of Reading and Nottingham and was for 20 years a senior Editor of Food Quality and Preference.