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Evaluation of Data Aggregation in Polarized Sensory Positioning
Author(s) -
Antúnez Lucía,
Salvador Ana,
Saldamando Luis,
Varela Paula,
Giménez Ana,
Ares Gastón
Publication year - 2015
Publication title -
journal of sensory studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.61
H-Index - 53
eISSN - 1745-459X
pISSN - 0887-8250
DOI - 10.1111/joss.12135
Subject(s) - sensory system , sample (material) , mathematics , set (abstract data type) , computer science , sensory analysis , product (mathematics) , orange juice , statistics , pattern recognition (psychology) , food science , artificial intelligence , psychology , cognitive psychology , chemistry , chromatography , programming language , geometry
Abstract The aim of the present work was to evaluate data aggregation when using two polarized sensory positioning ( PSP ) approaches for sensory characterization with consumers. Two consumer studies with different product categories (orange‐flavored powdered drinks and chocolate milk beverages) were carried out. In each study two PSP approaches were considered: PSP with scales and triadic PSP ( t ‐ PSP ). For each approach, one‐third of the consumers evaluated the whole sample set, whereas the other two‐thirds evaluated the sample set split in two subsets. Results showed that sample configurations for the evaluation of the whole and the split set by different consumer groups were relatively well correlated ( RV coefficients higher than 0.79). However, agreement between the configurations differed between the studies, which can be explained by the degree of difference among samples. Besides, differences in consumers' dissimilarity scores and conclusions regarding similarities and differences among samples were identified when comparing both data sets (with and without data aggregation). Regarding the comparison of the two PSP approaches, in the two studies better agreement between sample configurations was obtained for t‐ PSP . However, in one of the studies PSP with scales provided better results for the evaluation of a repeated sample by different consumer groups. Practical Applications Polarized sensory positioning has been gaining popularity in the last years. The main advantage of this methodology over other holistic methodologies is that it allows aggregating data from different studies, which is particularly interesting when working with consumer‐based sensory characterization. Results from the present work showed that aggregation of data from the evaluation of split sample sets by different consumer groups provided similar results than the evaluation of the whole sample set. However, conclusions regarding similarities and differences among samples differed in one of the studies, which suggests that care must be taken when aggregating data from the evaluation of similar samples by different consumer groups.