‘Liking then CATA’ or ‘CATA then liking’? Impact of the hedonic question positioning on the wine sensory description and appreciation

The sequence of the questions asked in sensory testing is crucial and remains a topic of ongoing debate. This study examines the impact of question order in CATA (Check-All-That-Apply) analyses combined with hedonic evaluations, comparing two sequences: administering the liking question before the CATA question versus the reverse order. Conducted across four different times of the year, the study utilised four distinct panels and matrices of wines: two sets of red wines with various sweeteners, one set of rosé wines, and one set of white wines. The findings indicate that placing the CATA analysis before the liking question results in: (i) an enhanced product differentiation in correspondence analysis, (ii) a reduced number of panellists needed to achieve a strong dependence between products and attributes, and (iii) a greater number of significant differences in product liking scores as determined by ANOVA, compared to when the liking question precedes the CATA analysis.In summary, our findings show that positioning CATA before the liking question yields more detailed and discriminative results, at least with wines under our test conditions. This indicates a need for further research to understand the influence of question order, especially regarding the dependency between food products and their attributes.

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Publication Details

Journal
OENO One
Published
2024-09-06
DOI
https://doi.org/10.20870/oeno-one.2024.58.3.8165
Citations
2
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
0.70

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article

‘Liking then CATA’ or ‘CATA then liking’? Impact of the hedonic question positioning on the wine sensory description and appreciation

Olivier Geffroy, Georgia Lytra, Élie Maza, Christian Chervin
2 citations
OENO One
Sensory Analysis and Statistical Methods
0.70
article

‘Liking then CATA’ or ‘CATA then liking’? Impact of the hedonic question positioning on the wine sensory description and appreciation

Olivier Geffroy, Georgia Lytra, Élie Maza, Christian Chervin
article en
2 citations

Abstract

The sequence of the questions asked in sensory testing is crucial and remains a topic of ongoing debate. This study examines the impact of question order in CATA (Check-All-That-Apply) analyses combined with hedonic evaluations, comparing two sequences: administering the liking question before the CATA question versus the reverse order. Conducted across four different times of the year, the study utilised four distinct panels and matrices of wines: two sets of red wines with various sweeteners, one set of rosé wines, and one set of white wines. The findings indicate that placing the CATA analysis before the liking question results in: (i) an enhanced product differentiation in correspondence analysis, (ii) a reduced number of panellists needed to achieve a strong dependence between products and attributes, and (iii) a greater number of significant differences in product liking scores as determined by ANOVA, compared to when the liking question precedes the CATA analysis.In summary, our findings show that positioning CATA before the liking question yields more detailed and discriminative results, at least with wines under our test conditions. This indicates a need for further research to understand the influence of question order, especially regarding the dependency between food products and their attributes.

OENO OneVol. 58(3)
Université de Bordeaux (FR), Institut National Polytechnique de Toulouse (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Ecole d'Ingénieurs de PURPAN (FR), École Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (FR), Unité mixte de recherche Œnologie (FR), Laboratoire de Recherche en Sciences Végétales (FR), Oenology Research Unit (FR), Institut Polytechnique de Bordeaux (FR)
Instituto Superior de Agronomia
Reduced inequalities
Openalex Percentile: Top 28%
Sensory Analysis and Statistical Methods
0.70
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