Performance indices in descriptive sensory analysis - A complimentary screening tool for assessor and panel performance

Oliver Tomic*, Ciaran Forde, Conor Delahunty, Tormod Næs

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

42 Citations (Scopus)

Abstract

Many statistical methods exist for evaluation of different aspects of assessor and panel performance. In order to gain a realistic and exhaustive overview over each individual's performance in different areas a large number of statistical results or plots need to be considered. Such a process often can be time consuming, cumbersome and may lead to biased conclusions. The proposed performance indices framework aims to act as an effective and practical complementary screening tool for panel leaders to help them quickly detect off-performances by assessors. The framework provides performance indices in the three following areas: agreement, repeatability and discrimination. Performance indices for agreement and repeatability are based on computations of either RV or RV2 coefficients, while the discrimination index is based on results from one- and two-way ANOVA. The performance indices can be easily presented in tables or graphs. Results show that they effectively detect underperforming assessors, and in combination with influence plots, provide a useful first overall impression in a rapid manner. Detailed performance issues can then be studied further in more detail with established statistical methods for performance evaluation.

Original languageEnglish
Pages (from-to)122-133
Number of pages12
JournalFood Quality and Preference
Volume28
Issue number1
DOIs
Publication statusPublished - Apr 2013
Externally publishedYes

Keywords

  • Assessor and panel performance
  • Descriptive sensory analysis
  • Performance indices framework
  • RV and RV2 correlation coefficient
  • Screening tool

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