A matching task as a potential technique for descriptive profile validation

If panellists can successfully match products to the corresponding descriptive profiles, then the profiles can be regarded as product-relevant and valid. This work examined the ability of a trained panel to perform a matching task between products and their descriptive profiles. A 13-member panel, t...

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Bibliographic Details
Published inFood quality and preference Vol. 14; no. 7; pp. 539 - 547
Main Authors O'Neill, Lynda, Nicklaus, Sophie, Sauvageot, François
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.10.2003
Elsevier
Subjects
Biological and medical sciences
Descriptive profiles
Food engineering
Food industries
Fundamental and applied biological sciences. Psychology
General aspects
Life Sciences
Matching task
Methods of analysis, processing and quality control, regulation, standards
Milk and cheese industries. Ice creams
Panel performance
Validity
Validity
Matching task
Descriptive profiles
Panel performance
Description language
Organoleptic properties
Quality control
Dairy product
Sensory analysis
Cheese
Control method
Quantitative analysis
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Summary:If panellists can successfully match products to the corresponding descriptive profiles, then the profiles can be regarded as product-relevant and valid. This work examined the ability of a trained panel to perform a matching task between products and their descriptive profiles. A 13-member panel, trained to assess eight cheeses in terms of 19 flavour attributes, performed the task based on their individually developed profiles. The panel's ability to match products to profiles was well above that expected by chance, and chi-square statistics for each of the products were significant (P<0.05). A correspondence analysis based on the group results indicated that all the products were relatively close to their profiles, although there was some confusion amongst some of the products. The products that led to confusion were shown to be close to each other by a canonical analysis based on the profile data. Regression analyses indicated that measures of panellist discriminant capacity significantly predicted the frequency of correct matchings (P<0.05), whereas degree of consistency did not. Overall, at the group level, the matching task appeared to be a good measure of the product-relevance of the profiles.
ISSN:0950-3293
1873-6343
DOI:10.1016/S0950-3293(02)00108-8