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

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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

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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

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Best practice recommendations for attribute order in Check-All-That-Apply (CATA) and related test methodologies

Sara King/ August 22, 2015/ Poster/ 0 comments

It is well documented that the position of attributes in a Check-All-That-Apply (CATA) question can bias responses. As positional biases cannot be eliminated, they are balanced across products via experimental designs, ensuring each attribute appears with equal frequency in each position for each product. But what is the best way to allocate attribute list orders?

Check-All-That-Apply questions

Sara King/ October 14, 2014/ Book Chapter/ 0 comments

Sensory characterization is one of the most powerful, sophisticated, and extensively applied tools in sensory science. Descriptive analysis with trained assessors has been traditionally used for sensory characterization. Due to the cost of time and money required for its application, several novel methodologies, which do not require training, have been recently developed and are gaining popularity as quick and reliable

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Existing and new approaches for the analysis of CATA data

Sara King/ December 16, 2013/ Peer-reviewed Paper/ 0 comments

Check-all-that-apply (CATA) questionnaires have seen a widespread use recently. In this paper, we briefly review some of the existing approaches to analyze data obtained from such a study. Proposed extensions to these methods include a generalization of Cochran’s Q to test for product differences across all attributes, and a more informative penalty analysis.