Canonical Correlation-based Tests for the Agreement of Sensory Panelists
- 1 Federal Institute of Education, Science and Technology of South of Minas Gerais, Brazil
- 2 Federal University of Alfenas, Brazil
- 3 Federal University of Lavras, Brazil
Published On: 11 January 2020
Copyright: © 2020 Marcela C Rocha, Eric B Ferreira and Daniel F Ferreira. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The reliability of the results of sensory analysis is directly linked to the performance of panel of assessors what, in general, means the ability of judges to identify small differences between products, the replicability of their ratings for the same product and the panel consonance. The panel consonance - usually called unidimensionality - can be understood as the agreement between the judges, thus it reflects the degree of training. Several methods have been proposed for assessing panel unidimensionality but always checking one attribute at a time. We proposed a generalization of the unidimensionality concept based on canonical correlation and enabling to consider several attributes simultaneously.
- Sensory Assessors
- Multivariate Agreement
- R Software
- Monte Carlo Simulation
- Type I Error Rate