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Statistical treatment of free sorting data by means of correspondence and cluster analyses

Statistical treatment of free sorting data by means of correspondence and cluster analyses

Authors :
El Mostafa Qannari
Véronique Cariou
Statistique, Sensométrie et Chimiométrie (StatSC)
Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)
Source :
Food Quality and Preference, Food Quality and Preference, Elsevier, 2018, 68, pp.1-11. ⟨10.1016/j.foodqual.2018.01.011⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; Several statistical procedures have been proposed for the analysis of the data from a free sorting task. A straightforward strategy of analysis based on correspondence analysis and cluster analysis performed on the co-occurrence matrix is proposed herein. More specifically, two situations are considered depending on whether the aim is to depict the relationships among the stimuli or to investigate the agreement among the subjects. The approach of analysis is illustrated on the basis of free sorting data characterizing chocolate products.

Details

Language :
English
ISSN :
09503293
Database :
OpenAIRE
Journal :
Food Quality and Preference, Food Quality and Preference, Elsevier, 2018, 68, pp.1-11. ⟨10.1016/j.foodqual.2018.01.011⟩
Accession number :
edsair.doi.dedup.....05f224036c00850e6047f5472f2fbd6b
Full Text :
https://doi.org/10.1016/j.foodqual.2018.01.011⟩