Taking individual scaling differences into account by analyzing profile data with the Mixed Assessor Model

Food Quality and Preference

Volumn 39, Issue , 2015, Pages 156-166

  Brockhoff, Per Bruun ^a   Schlich, Pascal ^b   Skovgaard, Ib ^c  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b CENTRE DES SCIENCES DU GOÛT ET DE L ALIMENTATION   (France)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Analysis of variance; Assessor differences; Disagreement; Mixed model; Scaling differences; Sensory profile data

Indexed keywords

EID: 84907358211     PISSN: 09503293     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodqual.2014.07.005     Document Type: Article

References (23)

1. Brockhoff P.B. Statistical testing of individual differences in sensory profiling. Food Quality and Preference 2003, 14:425-434.
2. Brockhoff P.B., Christensen R.H.B. Thurstonian models for sensory discrimination tests as generalized linear models. Food Quality and Preference 2010, 21:330-338.
3. Brockhoff, P. B., & Sommer, N. A. (2008). Accounting for scaling differences in sensory profile data. In Proceedings of 10th European Symposium on Statistical Methods for the Food Industry, Louvain-La-Neuve, Belgium (pp. 283-290).
4. Brockhoff, P. M. (1994). Statistical analysis of sensory data [Ph.D. thesis]. Copenhagen, Denmark: Dept. of Mathematics and Physics, Royal Veterinary and Agricultural University.
5. Brockhoff P.M. Assessor modelling. Food Quality and Preference 1998, 9:87-89.
6. Brockhoff P.M., Skovgaard I.M. Modelling individual differences between assessors in sensory evaluations. Food Quality and Preference 1994, 5:215-224.
7. Hunter E.A. Experimental design. Multivariate analysis of data in sensory science 1996, Elsevier, Amsterdam, The Netherlands. T. Naes, E. Risvik (Eds.).
8. Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2012). lmerTest: Tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package). URL:. R package version 1.0-3/r16. http://R-Forge.R-project.org/projects/lmertest/.
9. Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2013). SensMixed: Mixed effects modelling for sensory and consumer data. URL: R package version 2.0-0. http://https://r-forge.r-project.org/R/?group_id=1433.
10. Kuznetsova A., Christensen R.H.B., Bavay C., Brockhoff P.B. Automated mixed anova modelling of sensory and consumer data. Food Quality and Preference 2014, [submitted for publication].
11. Lawless H. Commentary on random vs. fixed effects for panelists. Food Quality and Preference 1998, 9:163-164.
12. Lawless H.T., Heymann H. Sensory evaluation of food. Principles and practices 2010, Springer, New York, USA. 2nd ed.
13. Lea P., Næs T., Rødbotten M. Analysis of variance of sensory data 1997, J. Wiley and Sons.
14. Littell R.C., Milliken G.A., Stroup W.W., Wolfinger R.D. SAS© system for mixed models 1996, SAS Institute Inc., Cary, NC, USA.
15. Lundahl D., MacDaniel M. The panelist effect - Fixed or random?. Journal of Sensory Studies 1988, 3:113-121.
16. Næs T., Tomic O., Brockhoff P.B. Statistics for sensory and consumer science 2010, J. Wiley and Sons.
17. O'Mahony M. Sensory evaluation of food. Statistical methods and procedures 1986, Marcel Dekker, New York, USA.
18. Peltier C., Brockhoff P.B., Visalli M., Schlich P. The MAM-CAP table: A new tool for monitoring panel performances. Food Quality and Preference 2014, 32:24-27.
19. Piepho H.-P. Analyzing genotype-environment data by mixed models with multiplicative terms. Biometrics 1997, 53:761-767.
20. Rayner J.C.W., Best D.J., Brockhoff P.B., Rayner G.D. Nonparametrics for sensory science: A more informative approach 2005, Blackwell Publishing, USA.
21. Schlich, P. (1997). Cap: une méthode et un outil de controle rapide et synthtique des performances des sujets en valuation sensorielle descriptive. In 5émes Journées Agro industries et Méthodes Statistiques, Versailles, 8, 1-10.
22. Schlich P. What are the sensory differences among coffees? Multi-panel analysis of variance and flash analysis. Food Quality and Preference 1998, 9:103.
23. Smith A., Cullis B., Brockhoff P.B., Thompson R. Multiplicative mixed models for the analysis of sensory evaluation data. Food Quality and Preference 2003, 14:387-395.