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

Daniel M. Ennis, Benoit Rousseau, John M. Ennis

Institute for Perception, Sep 30, 2014 - Business & Economics - 176 pages

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 [phone] or visit www.ifpress.com. 

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
• 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
• 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
• 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

About the author

 

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.

 

Bibliographic information

• Title: Tools and Applications of Sensory and Consumer Science: 59 Technical Report Scenarios Based on Real-life Problems
• Authors: Daniel M. Ennis, Benoit Rousseau, John M. Ennis
• Edition: illustrated
• Publisher: Institute for Perception, 2014
• ISBN: 0615857744, 9780615857749
• Length: 176 pages
• Subjects: Business & Economics / Consumer Behavior; Business & Economics / Statistics; Mathematics / Probability & Statistics / Multivariate Analysis; Psychology / Cognitive Psychology; Science / Cognitive Science; Science / Life Sciences / Neuroscience; Technology & Engineering / Food Science