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Publisert 2014

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Tidsskrift : Food Quality and Preference , vol. 32 , p. 198–209 , 2014

Utgiver : Elsevier

Internasjonale standardnummer :
Trykt : 0950-3293
Elektronisk : 1873-6343

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Endrizzi, Isabella; Gasperi, Flavia; Rødbotten, Marit; Næs, Tormod

Har du spørsmål om noe vedrørende publikasjonen, kan du kontakte Nofimas bibliotekleder.

Kjetil Aune


In this paper we discuss an extension to preference mapping of the method proposed in [Endrizzi, I.,
Menichelli, E., Johansen, S. B., Olsen, N. V., & Næs, T. (2011). Handling of individual differences in rating-
based conjoint analysis. Food Quality and Preference, 22, 241–254 ] for accommodating both population
averages and individual differences in the same model. The method, based on average estimates
and residuals, is a combination of ANOVA, PCA and PLS-DA, which are well-known techniques that can
be run in almost all statistical software packages. Main attention is given to the relation between the double-
centred residual matrix which highlights differences between consumers in their relative position as
compared to the average consumer values and the standard centring in preference mapping. This
approach has been found particularly useful for highlighting differences in preference pattern among
the consumers. Furthermore, the interpretation and the segmentation, that is here taking place based
on differences in acceptance pattern, are graphically oriented. In addition, some possible alternatives
to the generally used validation method in PCA are suggested. The approach is then illustrated using
two data-sets from consumer studies of apple and raspberry juice, showing that when individual differences
are analysed by the present method, interesting results regarding individual differences in response
pattern are detected.