Check-all-that-apply (CATA) responses elicited by consumers: Within-assessor reproducibility and stability of sensory product characterizations

Contributions to assess the reproducibility and the agreement of respondents in CATA tasks

“…When the dataset is reduced by removing the emotion terms that are not often selected (as suggested by Jaeger et al, 2013), the RI i index tends to be slightly closer to the R i index ( Fig. 2A).…”

“…x p 2 ) corresponds to the number of terms used by subject i to describe product p in session 1 (resp. session 2), and x p 1;2 corresponds to the number of terms used commonly by subject i in both sessions: Jaeger et al (2013) extended this index by also considering the number of terms x 0p 1;2 not ticked consistently across the two sessions, and proposed the following RI i (Eq. (2)).…”

“…For example, let's suppose that a subject selects 10 terms in each of the two sessions: an R i of 0.2 corresponds to an overlap of only 2 terms among the 20 terms selected by this subject. Jaeger et al (2013) added that the R i index appears to be ''incomplete'' since terms that are not selected may also be relevant for product characterisation. For this reason, the authors proposed an alternative index, called Global Reproducibility Index, noted RI i , which considers the unselected terms as well (see the Methods section for details).…”

“…In addition, Jaeger et al (2013) included ''dummy'' terms (i.e. terms that are clearly not applicable for a certain product category) in the CATA ballots to have an indicator of the validity of the sensory product characterisations, but also to reflect the relevance of considering the consistency of non-selected terms in a reproducibility index.…”

Sensory Profile of Brazilian Coffees Based on Consumer Perception as an Alternative to the Conventional Methods

“…Besides being quicker and easier to understand by participants, when using consumers for product descriptions, these techniques are also intended to bring products to the market that actually have the characteristics expected by the target audience, and are useful for providing valuable information during the development of new products or in the design of marketing campaigns (ARES et al, 2010;ARES et al, 2011;DOOLEY et al, 2010;JAEGER et al, 2015;LAAKSONEN et al, 2016;REINBACH et al, 2014;ROUSSEAU, 2015;VEINAND et al, 2011). Besides providing sensory configurations similar to those obtained by conventional descriptive analysis, the methods presented have shown efficiency in sample differentiation, even using consumers in the evaluation (ARES et al, 2014;BRUZZONE et al, 2012;CADENA et al, 2014;FLEMING et al, 2015;JAEGER et al, 2013;LADO et al, 2010;REINBACH et al, 2014;VARELA;VARELA et al;.…”