Statistical testing of individual differences in sensory profiling

被引:24
|
作者
Brockhoff, PB [1 ]
机构
[1] Royal Vet & Agr Univ, Dept Math & Phys, DK-1871 Frederiksberg C, Denmark
关键词
analysis of variance; assessor performance; individual differences; maximum likelihood analysis; multipicative interaction; SAS macro; sensory profile data; statistical testing;
D O I
10.1016/S0950-3293(03)00007-7
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A generalization of the approach of Brockhoff and Skovgaard [Food Quality & Preference, 5 (1994), 215] is given. The emphasis is on univariate assessor performance in sensory profiling. Statistical significance tests for difference between assessors of scaling, variability and sensitivity will be given. A test for disagreement effect is also presented. In addition the approach will provide individual scaling, variability, disagreement and sensitivity values, that can be used for subsequent tabulation, plotting and statistical analysis. The method of maximum likelihood is used throughout and all computations are implemented in a SAS(R) Macro PAN-MODEL that is available via the author's homepage: http://www.dina.kvl.dk/ similar toper. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:425 / 434
页数:10
相关论文
共 50 条
  • [1] Detecting individual differences among assessors and differences among replicates in sensory profiling
    Naes, T
    FOOD QUALITY AND PREFERENCE, 1998, 9 (03) : 107 - 110
  • [2] Individual Differences in Sensory Substitution
    Arnold, Gabriel
    Pesnot-Lerousseau, Jacques
    Auvray, Malika
    MULTISENSORY RESEARCH, 2017, 30 (06) : 579 - 600
  • [3] Individual differences in sensory gating in children
    Chang, WP
    Gavin, WJ
    Davies, PL
    PSYCHOPHYSIOLOGY, 2004, 41 : S30 - S30
  • [5] LOOKING ASKANCE AT STATISTICAL SENSORY TESTING
    BYER, AJ
    FOOD TECHNOLOGY, 1964, 18 (11) : 1717 - &
  • [6] STATISTICAL LEARNING MODELS AND INDIVIDUAL DIFFERENCES
    WEITZMAN, RA
    PSYCHOLOGICAL REVIEW, 1966, 73 (04) : 357 - &
  • [7] Individual differences in sensory integration predict differences in time perception and individual levels of schizotypy
    Fenner, Benjamin
    Cooper, Nicholas
    Romei, Vincenzo
    Hughes, Gethin
    CONSCIOUSNESS AND COGNITION, 2020, 84
  • [8] A Code Profiling Using Statistical Testing in StART
    Sidek, Roslina Mohd
    Ghani, Abdul Azim Abdul
    Zulzalil, Hazura
    Baharom, Salmi
    Noraziah, A.
    ADVANCED SCIENCE LETTERS, 2018, 24 (10) : 7295 - 7299
  • [9] Nonparametric statistical testing of coherence differences
    Maris, Eric
    Schoffelen, Jan-Mathijs
    Fries, Pascal
    JOURNAL OF NEUROSCIENCE METHODS, 2007, 163 (01) : 161 - 175
  • [10] Towards a theory of individual differences in statistical learning
    Siegelman, Noam
    Bogaerts, Louisa
    Christiansen, Morten H.
    Frost, Ram
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2017, 372 (1711)