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The MAM-CAP table: A new tool for monitoring panel performances

  • National Research Institute for Agriculture, Food and Environment
    ,
  • Université de Bourgogne
    ,
  • Technical University of Denmark
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 24-27

Journal (Volume, Issue Number)

Food Quality and Preference (Volume 32, Issue Part A)

Publication milestones

  • Published - 2014

Publication status

Published - 2014

ISSN

0950-3293

Publication IDs

  • Scopus: 84886292634
  • ORCID: /0000-0002-1432-7229/work/40611426

Abstract

Assessor performances in sensory analysis are usually represented by three indicators: repeatability, discrimination and agreement. However, assessors can also differ on the range of their scores, the so-called “scaling effect”. Brockhoff, Schlich, and Skovgaard (2013) proposed the mixed assessor model (MAM) which, as the original assessor model (Brockhoff & Skovgaard, 1994), takes this effect into account, but also allows for the product effect to be tested against a new interaction free of the scaling effect.The present paper proposes a unified system for monitoring assessor and panel performances based on the MAM. In addition to the product effect (tested at panel and individual levels), scaling and repeatability panel heterogeneities are tested and, when significant, assessors who were responsible for this heterogeneity are identified. Further, the pure disagreement is decomposed over assessors allowing for the individuals significantly responsible for it to be highlighted. Those numerous statistics are summarized into a few diagnostics presented in a synthetic single table called the MAM CAP table.

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Citations
29
Captures
37

Related Event

Title

Sensometrics 2012

Event type

Conference

Date

10/07/2012 - 13/07/2012

Location

RennesFrance