Skip to Main content Skip to Navigation
Journal articles

SORT-CC: A procedure for the statistical treatment of free sorting data

Abstract : A statistical approach for the analysis of free sorting data is discussed. In a first stage, the sorting data from each subject are arranged into a dataset consisting of indicator variables which reflect the memberships of the stimuli to the groups formed by the subject under consideration. Thereafter, an appropriate standardization is applied on these data and a three way statistical method, namely Common Components and Specific Weights Analysis, is performed on the datasets thus obtained. This makes it possible to take account of the individual differences among the subjects and to depict graphical displays showing the relationships among the stimuli on the one hand and among subjects on the other hand. The general strategy of analysis is illustrated on the basis of a dataset and the outcomes are compared to those of other strategies of analysis of sorting data.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02660056
Contributor : Migration Prodinra <>
Submitted on : Saturday, May 30, 2020 - 7:42:26 PM
Last modification on : Thursday, March 11, 2021 - 3:42:19 AM

Identifiers

Collections

Citation

E.M. Qannari, Véronique Cariou, E. Teillet, Pascal Schlich. SORT-CC: A procedure for the statistical treatment of free sorting data. Food Quality and Preference, Elsevier, 2010, 21 (3), pp.302-308. ⟨10.1016/j.foodqual.2009.01.003⟩. ⟨hal-02660056⟩

Share

Metrics

Record views

33