Multivariate data analysis in sensory and consumer science: An overview of developments

Abstract Data sets resulting from sensory and consumer studies can be quite large. A variety of methods of multivariate data analysis can be very useful in the exploration of the structure that is in such data. Over the past ten years, many methods have been proposed and applied to data generated in sensory and consumer science research. This paper presents the developments in the multivariate statistical analysis of data in four main areas of sensory and consumer science.

[1]  P. Overbosch,et al.  An improved method for measuring perceived intensity/time relationships in human taste and smell , 1986 .

[2]  L. Pannell Analyzing time-intensity reponses in sensory evaluation , 1992 .

[3]  Monique M. Raats,et al.  A NEW SIGNIFICANCE TEST FOR CONSENSUS IN GENERALIZED PROCRUSTES ANALYSIS , 1992 .

[4]  I. Jolliffe Principal Component Analysis , 2002 .

[5]  H. J. H. MacFie,et al.  Measurement of Food Preferences , 1994 .

[6]  H. Macfie,et al.  Developments in the analysis of time-intensity curves , 1992 .

[7]  L. Bochereau,et al.  Sensory-instrumental correlations by combining data analysis and neural network techniques , 1993 .

[8]  J. Leeuw,et al.  Nonlinear redundancy analysis , 1990 .

[9]  D. McHale,et al.  Analyse Conjointe de Tableaux Quantitatifs , 1990 .

[10]  J. Gower Generalized procrustes analysis , 1975 .

[11]  S. Schiffman Introduction to Multidimensional Scaling , 1981 .

[12]  Garmt Dijksterhuis,et al.  Assessing panel consonance , 1995 .

[13]  R. Clarke,et al.  Theory and Applications of Correspondence Analysis , 1985 .

[14]  Garmt Dijksterhuis,et al.  Procrustes Analysis in Studying Sensory‐Instrumental Relations , 1994 .

[15]  Nancy Larson-Powers,et al.  PAIRED COMPARISON AND TIME-INTENSITY MEASUREMENTS OF THE SENSORY PROPERTIES OF BEVERAGES AND GELATINS CONTAINING SUCROSE OR SYNTHETIC SWEETENERS , 1978 .

[16]  Principal Component Analysis of Time‐Intensity Bitterness Curves , 1993 .

[17]  A. Agresti,et al.  Multiway Data Analysis , 1989 .

[18]  H. C. M. Trijp,et al.  Taste interaction between glucose and fructose assessed by functional measurement , 1987, Perception & psychophysics.

[19]  J. Gower,et al.  The interpretation of Generalized Procrustes Analysis and allied methods , 1991 .

[20]  Anthony A. Williams,et al.  The use of free-choice profiling for the evaluation of commercial ports , 1984 .

[21]  M. Hole,et al.  Flavour science and technology : Wiley, Chichester, 1987 (ISBN 0-471-91743-5). xvi+566 pp. Price £40.00 , 1988 .

[22]  W. Lee,et al.  Time-intensity: the temporal aspects of sensory perception , 1986 .

[23]  Pascal Schlich,et al.  Correspondence analysis in sensory evaluation , 1991 .

[24]  H. Macfie,et al.  Methods for averaging time – intensity curves , 1990 .

[25]  J. Piggott Statistical procedures in food research , 1986 .

[26]  G. Dijksterhuis,et al.  Principal component analysis of TI-curves: Three methods compared , 1994 .

[27]  A. L. V. D. Wollenberg Redundancy analysis an alternative for canonical correlation analysis , 1977 .

[28]  David J. Hand,et al.  Multivariate Analysis Of Variance And Repeated Measures , 1987 .