Multiplicative mixed models for the analysis of sensory evaluation data

A - Papers appearing in refereed journals

Smith, A., Cullis, B. R., Brockoff, P. and Thompson, R. 2003. Multiplicative mixed models for the analysis of sensory evaluation data. Food Quality and Preference. 14 (5-6), pp. 387-395.

AuthorsSmith, A., Cullis, B. R., Brockoff, P. and Thompson, R.
Abstract

Multiplicative mixed models have recently been proposed for the analysis of data from series of plant variety trials. Such approaches may be useful for other applications, including the analysis of data from sensory evaluation experiments. Implicit in these data are two-way tables of product by assessor effects. Several authors have suggested the need to accommodate heterogeneity of product and error variance between assessors. This provides information on the discriminating ability and reliability of individual assessors. Additionally it is of interest to examine the level of agreement between assessors. These issues can be explored with the use of a mixed model that includes a multiplicative model for product by assessor effects. This allows examination of product by assessor effects whilst accommodating important covariate information, for example, associated with the experimental design. In this paper we use the approach to analyse data from two sensory evaluation experiments.

Year of Publication2003
JournalFood Quality and Preference
Journal citation14 (5-6), pp. 387-395
Digital Object Identifier (DOI)doi:10.1016/S0950-3293(03)00014-4
Open accessPublished as non-open access
Funder project or code445
513
Output statusPublished
Publication dates
Online04 Apr 2003
Publication process dates
Accepted21 Oct 2002
Copyright licensePublisher copyright
PublisherElsevier Sci Ltd
ISSN0950-3293

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