Commentary on Meyners and Hasted (2021): On the applicability of ANOVA models for CATA data, Food Quality and Preference, 92.

• GLM is more appropriate for testing product difference with CATA data. • Multiple comparisons based on GLM with a binomial distribution for CATA data. • Cochran's Q test and normal approximation for CATA data have historical importance. • There is no sound reason nowadays to use these methods for CATA data analyses. ANOVA and multiple comparisons based on generalized linear model (GLM) with a binomial distribution are proposed to be used for testing product differences with CATA data. The methods of Cochran's Q test and ANOVA based on a normal distribution for CATA data analyses have only historical significance. There is no sound reason nowadays to insist on using these methods for CATA data analyses from both a theoretical and a practical perspective. [ABSTRACT FROM AUTHOR]