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The Check-All-That-Apply (CATA) method was compared to the Adapted-Pivot-Test(APT) method, a recently published method based on pair comparisons between acoded wine and a reference sample, called pivot, and using a set list ofattributes as in CATA. Both methods were compared using identical wines,correspondence analyses and Chi-square test of independence, and very similarquestionnaires. The list of attributes used for describing the wines wasestablished in a prior analysis by a subset of the panel. The results showedthat CATA was more robust and more descriptive than the APT with 50 to 60panelists. The p-value of the Chi-square test of independence between wines anddescriptors dropped below 0.05 around 50 panelists with the CATA method, whenit never dropped below 0.8 with the APT. The discussion highlights differencesin settings and logistics which render the CATA more robust and easier to run.One of the objectives was also to propose an easy setup for university and foodindustry laboratories. Practical applications: Our results describe a practicalway of teaching and performing the CATA method with university students andonline tools, as well as in extension courses. It should have applications withconsumer studies for the characterization of various food products.Additionally, we provide an improved R script for correspondence analyses usedin descriptive analyses and a Chi-square test to estimate the number ofpanelists leading to robust results. Finally, we give a set of data that couldbe useful for sensory and statistics teaching.

Comparison of Check-All-That-Apply and Adapted-Pivot-Test methods for wine descriptive analyses with a panel of untrained students