Tools and Applications of Sensory and Consumer Science: 59 Technical Report Scenarios Based on Real-life Problems

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Institute for Perception, Sep 30, 2014 - Business & Economics - 176 pages
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Now in its sixth printing, this book is a must-have tool for professionals in product testing, consumer research, and advertising claims support. It contains our most significant and useful technical reports from the last 20 years. Readers will easily relate to the problems and solutions in each 2-page scenario. And for deeper study, the reader will find a list of published papers on a variety of related subjects.

Drs. Daniel Ennis, Benoît Rousseau and John Ennis use their combined expertise to guide readers through problems in areas such as:

Difference Tests
Rating and Rankings
Claims Support
Drivers of Liking® and Landscape Segmentation Analysis® (LSA) Optimizing Product Portfolios
Probabilistic Multidimensional Scaling
Combinatorial Tools
Designing Tests and Surveys


The technical content behind each scenario has been kept to a minimum so that ideas can be absorbed easily, but there is plenty of opportunity to pursue each account in more detail. Examples range from dairy products to beverages and fragrance products and are designed to appeal to a broad audience in the product research field. 27 tables for product testing methods have been included so the reader can interpret results from discrimination methodologies such as the tetrad test, the triangle test, the same-different method, the duo-trio test, replicated testing, and others.

186 pages, $95, plus shipping and 5.3% VA sales tax, where applicable for print copy. To order print copies of this book, please call (804) 675-2980 or visit www.ifpress.com. 

 

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Contents

Thurstonian Scaling for Difference Tests
2
Multivariate Difference Testing with Multiple Samples
8
Why Proportion of Discriminators is MethodSpecific
14
Reducing Costs with Tetrad Testing
20
Transitioning from Proportion of Discriminators to Thurstonian
26
Advertising Claims Support ____________________________________
47
Drivers of Liking and Landscape Segmentation Analysis ____________
66
Optimizing Product Portfolios __________________________________
99
Delta for 2AFC Method
157
Delta for DuoTrio Method
158
Delta for 3AFC Method
159
Delta for Triangular Method
160
Delta for Unspecified Method of Tetrads
161
Delta for Specified Method of Tetrads
162
Delta for Dual Pair Method
163
Variance of for the 2AFC Method
164

Combinatorial Tools _________________________________________
110
page
111
Optimum Product Selection for a Drivers of Liking Project
112
A Graph Theoretic Screening Tool for Product Developers
114
Deciphering the Language of Emotions to Develop an Emotion Lexicon
116
Efficient Representation of Pairwise Sensory Information
118
How to Find Optimal Combinations of Brand Components
120
From Astronomical Numbers of Portfolios to a Single Optimums
122
Design Issues in Product Tests and Surveys _______________________ page
125
Rotations in Product Tests and Surveys
126
Answering Questions in Surveys
128
Identifying and Removing Sources of Bias in Product Tests and Surveys
130
PUBLISHED PAPERS ________________________________________________ page
134
Subject List
143
TABLES for Product Testing Methods __________________________________
152
page
153
Unspecified Tetrad Methods
155
Number of Correct Judgments Preference and NonDirectional 2AFC Methods
156
Variance of for the DuoTrio Method
165
Variance of for the 3AFC Method
166
Variance of for the Triangular Method
167
Variance of for Unspecified Method of Tetrads
168
Variance of for the Dual Pair Method
169
Sample sizes for 2AFC DuoTrio Tetrad and Triangle Methods 170
170
Equivalence Table 95 Confidence
172
Equivalence Table 99 Confidence
173
Unsurpassed Table 95 Confidence
174
Unsurpassed Table 99 Confidence
175
CountBased Proportional Comparisons 95 Confidence
176
CountBased Proportional Comparisons 99 Confidence
177
CountBased Ratio Comparisons 95 Confidence
178
CountBased Ratio Comparisons 99 Confidence
179
Tail Areas of Normal
180
Tau Values for SameDifferent Method
181
INDEX ____________________________________________________________ page
182
Copyright

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About the author (2014)

 

Dr. Daniel M. Ennis is the President of The Institute for Perception. Danny has more than 35 years of experience working on product testing theory and applications for consumer products. He has doctorates in food science and mathematical & statistical psychology. He has published extensively on mathematical models for human decision-making and was the first to show that humans possess a transducer in the chemical senses. Danny is the 2013 recipient of the Sensory and Consumer Sciences Achievement Award from IFT and also the ASTM 2013 David R. Peryam Award in recognition of “outstanding contributions to the field of basic and applied sensory science.” Danny consults globally and has served as an expert witness in a wide variety of false advertising cases.

 

 Dr. Benoît Rousseau is Senior Vice President at The Institute for Perception. Benoît received his food engineering degree from AgroParisTech in Paris, France and holds a PhD in sensory science and psychophysics from the University of California, Davis. He has more than 20 years of experience in managing projects in the field of sensory and consumer science, actively working with clients in the US, Asia, Latin America, and Europe. His theoretical and experimental research has led to numerous journal articles as well as several book chapters. Benoît is also well known for his advanced presentation skills, where his use of sophisticated visual tools greatly contribute to the success of the Institute for Perception communications and short courses.

 

Dr. John M. Ennis is Vice President of Research Operations at The Institute for Perception. John received his PhD in mathematics from the University of California at Santa Barbara, where he also conducted his post-doctoral studies in cognitive neuroscience within the Psychology department . An active researcher, he has published in statistics, mathematics, psychology, marketing research, and sensory science. John has a strong interest in the widespread adoption of best practices throughout sensory science, serves on the editorial board of the Journal of Sensory Studies, is chair of the ASTM subcommittee E18.04 - “Fundamentals of Sensory", and is the 2013 winner of the Food Quality and Preference award for contributions by a young researcher.

 

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