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Article

Discrimination Ability of Assessors in Check-All-That-Apply Tests: Method and Product Development

1
Department of Postharvest, Supply Chain, Commerce and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, Villányi út 29-43, H-1118 Budapest, Hungary
2
Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Magyar Tudósok krt. 2, H-1117 Budapest, Hungary
3
Plasma Chemistry Research Group, Research Centre for Natural Sciences, Magyar Tudósok krt. 2, H-1117 Budapest, Hungary
*
Author to whom correspondence should be addressed.
Academic Editors: Youngseung Lee and Yoon Hyuk Chang
Foods 2021, 10(5), 1123; https://doi.org/10.3390/foods10051123
Received: 8 April 2021 / Revised: 12 May 2021 / Accepted: 14 May 2021 / Published: 19 May 2021
Binary similarity measures have been used in several research fields, but their application in sensory data analysis is limited as of yet. Since check-all-that-apply (CATA) data consist of binary answers from the participants, binary similarity measures seem to be a natural choice for their evaluation. This work aims to define the discrimination ability of CATA participants by calculating the consensus values of 44 binary similarity measures. The proposed methodology consists of three steps: (i) calculating the binary similarity values of the assessors, sample pair-wise; (ii) clustering participants into good and poor discriminators based on their binary similarity values; (iii) performing correspondence analysis on the CATA data of the two clusters. Results of three case studies are presented, highlighting that a simple clustering based on the computed binary similarity measures results in higher quality correspondence analysis with more significant attributes, as well as better sample discrimination (even according to overall liking). View Full-Text
Keywords: panelist performance; discrimination ability; CATA; product development; binary similarity panelist performance; discrimination ability; CATA; product development; binary similarity
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MDPI and ACS Style

Gere, A.; Bajusz, D.; Biró, B.; Rácz, A. Discrimination Ability of Assessors in Check-All-That-Apply Tests: Method and Product Development. Foods 2021, 10, 1123. https://doi.org/10.3390/foods10051123

AMA Style

Gere A, Bajusz D, Biró B, Rácz A. Discrimination Ability of Assessors in Check-All-That-Apply Tests: Method and Product Development. Foods. 2021; 10(5):1123. https://doi.org/10.3390/foods10051123

Chicago/Turabian Style

Gere, Attila, Dávid Bajusz, Barbara Biró, and Anita Rácz. 2021. "Discrimination Ability of Assessors in Check-All-That-Apply Tests: Method and Product Development" Foods 10, no. 5: 1123. https://doi.org/10.3390/foods10051123

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