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Descriptive profiling versus direct similarity assessments of soft drinks

Author:
CHAUHAN, J., HARPER, R.
Source:
International journal of food science & technology 1986 v.21 no.2 pp. 175-187
ISSN:
0950-5423
Subject:
data analysis, multidimensional scaling, soft drinks
Abstract:
A set of seven soft drinks was profiled using a check list of descriptors and the same set of products was assessed for similarity by a panel of ten assessors. The profile data were used to generate a matrix of interstimulus distances, and this and the dissimilarity matrix obtained directly from the similarity assessment were examined using multidimensional scaling approaches (MDS/INDSCAL). The two methods yielded broadly similar results in terms of the spatial representation of the stimuli. This was further confirmed on analysis of the data using a multidimensional unfolding program which aimed to highlight any differences between the two sets of dissimilarity measures.
Agid:
4193065