Technical Report: Multivariate Preference Mapping

In our Spring 1998 newsletter, we discussed a method for the analysis of liking data. The goal of this method was to discover attributes that drive liking. The method, called probabilistic unfolding, displays products and ideals as distributions. Preference data can also be unfolded to provide insights into ideal product characteristics, and can be used to improve products. In fact, preference data are more valuable than liking data to determine the basis for consumer hedonics using unfolding models. Unfortunately, preference experiments are often more expensive to conduct than liking experiments. In this report, an overview of the benefits of multivariate preference unfolding is given using new techniques that specify products and ideals as distributions rather than discrete points. The value of this approach in modeling preference data will be illustrated.

This technical report appears as:
Ennis, D. M. (1999). Multivariate Preference Mapping. IFPress, 2(2) 2-3.

Colleagues can download the entire technical report here:
Multivariate Preference Mapping

Not a Colleague? Click here to join for free!

This technical report also appears in our book, Tools and Applications of Sensory and Consumer Science.

Tags: , ,

Upcoming Webinar

September 21, 2017

Large TURF Problems: Finding Custom Solutions


Announcing the release of the 2016 Webinar Series Package!

Offered at a discounted rate of 50% off regular price, this package contains recordings of all four webinars offered during the 2016 Quarterly Webinar Series.

Create Your Own Webinar Package


Webinar calendar


Become a Colleague!

Join now to gain access to our technical reports, presentations, and more!

Click here to login or join.

Student Award

Now accepting applications for the
2017 Institute for Perception Student Award

site search