TY - JOUR

T1 - Principal components analysis of descriptive sensory data

T2 - Reflections, challenges, and suggestions

AU - Næs, Tormod

AU - Tomic, Oliver

AU - Endrizzi, Isabella

AU - Varela, Paula

PY - 2021

Y1 - 2021

N2 - This article presents a discussion of principal components analysis of descriptive sensory data. Focus is on standardization, many correlated variables, validation, and the use of descriptive data in preference mapping. Different ways of performing the analysis are presented and discussed with focus on how to obtain informative and reliable results. The results will be commented on in light of experience. All methods will be illustrated by calculations based on real data. The article ends with a list of suggestions for all the topics covered. Practical Application The article is about using principal components analysis (PCA) in sensory science. The applicability of the methods and ideas presented in this article are relevant for all types of descriptive sensory data. The ideas are general and comprise areas such as standardization, validation, and many correlated variables. The target group of readers for the article is the sensory scientist who uses PCA on a daily basis and who may have questions regarding how to use the method the best possible way.

AB - This article presents a discussion of principal components analysis of descriptive sensory data. Focus is on standardization, many correlated variables, validation, and the use of descriptive data in preference mapping. Different ways of performing the analysis are presented and discussed with focus on how to obtain informative and reliable results. The results will be commented on in light of experience. All methods will be illustrated by calculations based on real data. The article ends with a list of suggestions for all the topics covered. Practical Application The article is about using principal components analysis (PCA) in sensory science. The applicability of the methods and ideas presented in this article are relevant for all types of descriptive sensory data. The ideas are general and comprise areas such as standardization, validation, and many correlated variables. The target group of readers for the article is the sensory scientist who uses PCA on a daily basis and who may have questions regarding how to use the method the best possible way.

KW - ASSESSOR

U2 - 10.1111/joss.12692

DO - 10.1111/joss.12692

M3 - Journal article

VL - 36

JO - Journal of Sensory Studies

JF - Journal of Sensory Studies

SN - 0887-8250

IS - 5

M1 - e12692

ER -