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SELECTING PRODUCTS FOR CATEGORY APPRAISAL STUDIES — FEWER PRODUCTS DO ALMOST AS WELL AS MANY PRODUCTS
Author(s) -
MOSKOWITZ HOWARD R.,
MARKETO CHRIS
Publication year - 2001
Publication title -
journal of sensory studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.61
H-Index - 53
eISSN - 1745-459X
pISSN - 0887-8250
DOI - 10.1111/j.1745-459x.2001.tb00318.x
Subject(s) - selection (genetic algorithm) , product category , psychology , cognitive psychology , variation (astronomy) , sensory system , food products , computer science , marketing , product (mathematics) , mathematics , artificial intelligence , business , food science , biology , physics , geometry , astrophysics
This paper analyzes the results of different strategies for selecting test products in category appraisals. The three strategies are random selection of products from the marketplace, selection on the basis of consumer sensory data, and selection on the basis of expert panel data. All three methods generate stable results for category appraisals. The stability of the results (e.g., in terms of ‘drivers of liking’) increases very quickly and then levels off, suggesting that the researcher does not have to work with a particularly large number of products in a category appraisal to understand the sensory‐liking dynamics. It appears in our case, that 18 products were an appropriate number to strongly reflect results for 50 products. Researchers need to be sensitive to the variation in each category. Some categories may require more or less than this number of products to cover all the sensory ranges within the specific category.