Evaluation of complementary numerical and visual approaches for investigating pairwise comparisons after principal component analysis

John Castura/ June 1, 2023/ Peer-reviewed Paper/ 0 comments

We propose and evaluate numerical and visual methods for investigating paired comparisons after principal component analysis (PCA). PCA results can be visualized to facilitate an understanding of the relationships between the products and the sensory attributes. But identifying and visualizing significant product differences in multiple PCs simultaneously is not straightforward. A benefit of the proposed methods is that they provide

Read More

Investigating paired comparisons after principal component analysis

John Castura/ January 24, 2023/ Peer-reviewed Paper/ 0 comments

Principal component analysis (PCA) is often used to explore sensory and consumer test data about products on multicollinear sensory attributes. In this paper, we propose an approach for investigating paired comparisons between products and their uncertainties in the principal components. We use the truncated total bootstrap (TTB) procedure to simulate virtual panels from the original data set. The virtual-panel results

Read More

Clustering consumers based on product discrimination in check-all-that-apply (CATA) data

John Castura/ March 4, 2022/ Peer-reviewed Paper/ 0 comments

Consumers can be clustered based on their product-related check-all-that-apply (CATA) responses. We identify two paradoxes that can occur if these clusters are derived from conventional similarity coefficients. The first paradox is that clustering similar consumers can nullify within-cluster sensory differentiation of products. The second paradox is that consumers who check many attributes yet disagree can be clustered together, whereas consumers

Read More

Analysis of sensory check-all-that-apply (CATA) data which includes the evaluation of a single ideal product

John Castura/ August 6, 2019/ Poster/ 0 comments

When evaluating samples in sensory tests, consumers are sometimes asked not only about real samples but also about imagined ideal products. Check-all-that-apply (CATA) questions are one way to understand consumers’ perceptions of products and their ideal product. We propose the following statistical analyses of consumer CATA data: (i) confidence intervals for head-to-head comparisons based on CATA data; (ii) panel (dis)agreement

Read More

How do static and dynamic sensory product characterizations based on check-all-that-apply questions? Insights from three consumer studies

Sara King/ August 20, 2017/ Oral Presentation/ 0 comments

Temporal check-all-that-apply (TCATA) is basically an extension of CATA questions and measures the dynamics of sensory perception. Despite the similarities between both methodologies, no study has yet compared static and dynamic sensory product characterizations obtained with CATA and TCATA with consumers, respectively.

A cost/benefit analysis of consumer CATA and trained descriptive analysis

Sara King/ November 23, 2015/ Oral Presentation/ 0 comments

Two panels evaluated 6 whole grain breads in duplicate. The consumer panel (n=93), drawn from an active database, used 32 CATA sensory and emotion terms to describe samples, and gave hedonic responses. The FCM® trained descriptive panel (n=12), drawn from a pool of trained assessors, used a common lexicon of 57 defined sensory attributes. Multivariate sensory spaces for CATA and

Read More

Sugar reduction in probiotic chocolate-flavored milk: Impact on dynamic sensory profile and liking

Sara King/ September 23, 2015/ Peer-reviewed Paper/ 0 comments

Reducing the sugar content of processed products has been claimed to be one of the most efficient strategies for decreasing sugar intake. The present work aimed at studying the influence of sugar reduction on the dynamic sensory profile and consumers’ liking of probiotic chocolate-flavored milks using a novel temporal methodology, and to evaluate two alternatives (vanilla flavor and thaumatin) to

Read More