Technical Report: Multivariate Difference Testing with Multiple Samples

ABSTRACT
Variation in the manufacture of consumer products presents a challenge when investigating the suitability of process and formulation changes to a particular product. This issue is particularly relevant when investigating small sensory differences, like those involved in discrimination testing. In some cases, a product is best represented by several variants. The traditional discrimination protocols such as the triangular, duo-trio and m-alternative forced choice methods do not allow the consideration of manufacturing variation, unless multiple paired tests are performed. This approach can be costly and time-consuming. In an earlier newsletter, we introduced Torgerson’s method of triads. Using an appropriate model, this method allows for the simultaneous estimation of multiple product differences. In this report, we discuss a multivariate model for Torgerson’s method.

This technical report appears as:
Rousseau, B. and Ennis, D. M. (2002). Multivariate Difference Testing with Multiple Samples. IFPress, 5(2) 2-3.

Colleagues can download the entire technical report here:
Multivariate Difference Testing with Multiple Samples

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
2PM EDT

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

Membership

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