Adequate number of consumers in a liking test. Insights from resampling in seven studies

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TitreAdequate number of consumers in a liking test. Insights from resampling in seven studies
Type de publicationJournal Article
Year of Publication2014
AuteursMammasse N, Schlich P
JournalFOOD QUALITY AND PREFERENCE
Volume31
Pagination124-128
Date PublishedJAN
Type of ArticleArticle
ISSN0950-3293
Mots-clésANOVA, Correlation, Discrimination, Hedonic test, Panel size, Product sensory complexity, Resampling, RV
Résumé

{The recommended number of consumers to be enrolled in a hedonic test comparing several products usually ranges from 50 to 100, at least if no liking segmentation is sought. This paper seeks to examine whether such a panel size range is adequate, by means of 7 trials with different levels of product space complexity. Five types of products were tested: Two varied in fattiness and sweetness and were tested under the same conditions in two separate laboratories (4 trials); the remaining three, varying in taste and texture, were each tested in a different laboratory (3 trials). Each of the 7 trials was run by a different laboratory. Each of the seven laboratories enrolled in its trial 150 consumers who gave liking scores on a set of 5 or 6 products. The method used to derive adequate panel size consists in removing k subjects from the 150 in the original panel and then measuring the loss of information in product comparisons. Four criteria to be maximized were used: The correlation between the two vectors of product mean scores, the RV coefficient between the two product spaces, the Fisher discrimination ratio among products and the concordance rate in product pair comparisons. For each k

DOI10.1016/j.foodqual.2012.01.009