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Free JAR experiment: Data analysis and comparison with JAR task

•Free JAR and JAR protocols are compared based on a case study pertaining to cheeses.•A new strategy for the analysis of Free JAR and JAR data is introduced.•Free JAR procedure highlights specific attributes and their relative importance.•Free JAR and JAR procedures can be used jointly to elicit app...

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Published in:Food quality and preference 2022-06, Vol.98, p.104453, Article 104453
Main Authors: Luc, Alexiane, Lê, Sébastien, Philippe, Mathilde, Qannari, El Mostafa, Vigneau, Evelyne
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Language:English
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cited_by cdi_FETCH-LOGICAL-c394t-f1c364e61cd7b071933457f6ab0d80235a9cabce6efc286a3384e8e941fdeaa03
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container_title Food quality and preference
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creator Luc, Alexiane
Lê, Sébastien
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description •Free JAR and JAR protocols are compared based on a case study pertaining to cheeses.•A new strategy for the analysis of Free JAR and JAR data is introduced.•Free JAR procedure highlights specific attributes and their relative importance.•Free JAR and JAR procedures can be used jointly to elicit appropriate attributes. The Free JAR protocol is introduced as a methodology for highlighting product improvement keys without imposing specific attributes to the respondents. Being relatively new, there is a need to demonstrate its relevance compared to an established sensory methodology such as the JAR procedure. The first aim of this study is to outline a strategy for the statistical analysis of Free JAR comments. This consists in extracting all the attributes assessed according to modalities such as “not enough”, “JAR” and “too much”, and recoding the Free JAR comments of each respondent into a products × attributes matrix. At a product level, an analysis is performed with the aim of highlighting the attributes that characterize the product under study. Thereafter, a multivariate descriptive analysis is presented. It consists in calculating a dissimilarity measure for each pair of products. Multidimensional Scaling (MDS) is performed on the dissimilarity matrix thus formed in order to obtain a graphical display that depicts the relationships among the products. For a comparison purpose, the same analyses are applied to JAR data. The findings based on a case study pertaining to cheeses make it possible to assess the respective shortcomings and benefits of Free JAR and JAR procedures.
doi_str_mv 10.1016/j.foodqual.2021.104453
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subjects Cheese
Food engineering
Free comment
Free JAR
JAR
Life Sciences
Multidimensional scaling
Statistics
title Free JAR experiment: Data analysis and comparison with JAR task
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