Comparison of three sensory profiling methods based on consumer perception: CATA, CATA with intensity and Napping®

Performance of Flash Profile and Napping with and without training for describing small sensory differences in a model wine

“…The attribute and their frequencies of mention are shown in Table 4. Attributes mentioned less than six times were not shown to improve the interpretability as suggested in the literatures (Perrin & Pagès, 2009;Reinbach, Giacalone, Ribeiro, Bredie, & Frøst, 2014). Among these attributes almond, fruity, floral and banana were commonly mentioned by all panels, which may indicate that the core set of sensory attributes matched the usual descriptions of the compounds added to the model wine.…”

Check-all-that-apply data analysed by Partial Least Squares regression

“…On the other hand if the uncertainty estimates of interest is for one sample (a specific combination of product and respondent) or variable in the original data-matrix, resampling is of importance. In previous application of PLS on CATA, the chosen resampling strategy has been to use Jack-knifing and define segments corresponding to each respondent (Giacalone, Bredie, & Frøst, 2013;Reinbach, Giacalone, Ribeiro, Bredie, & Frøst, 2014). One potential problem with this strategy is that the uncertainty estimates may get too small as the perturbations to the data are relatively small.…”

Temporal Check-All-That-Apply (TCATA): A novel dynamic method for characterizing products

“…There is no scale to permit an assessor to characterize the level difference. Nonetheless, evidence presented so far in the literature has shown good correlation between CATA frequencies and attribute intensities (Bruzzone, Ares, & Giménez, 2012;Reinbach, Giacalone, Ribeiro, Bredie, & Frøst, 2014). CATA questions are being used increasingly in consumer questionnaires, and have been the subject of numerous methodological investigations published in this journal Ares et al, , 2014Jaeger et al, 2014).…”