Technical Reports

All of the topics covered in our technical reports are treated in greater depth in our short courses. Our book, Tools and Applications of Sensory and Consumer Science, organizes and compiles our most significant and useful technical reports in one easy-to-use book. Readers will benefit from introductions written by Dr. Daniel M. Ennis, an index, and several tables for product testing methods. This resource is a must-have tool for professionals in claims support, consumer research, and product testing. Click here to learn more.”
Please feel free to contact us with any questions.

2019
Making Count-Based Claims from Sample Data
- Daniel M. Ennis and Benoît Rousseau

2018
Characterizing Sensory Segmentation using Machine Learning
- William J. Russ and John M. Ennis

Derived Preference from Applicability Scoring
- Daniel M. Ennis and Benoît Rousseau

Consumer Relevant Confidence in Sensory Difference Tests
- John M. Ennis and Daniel M. Ennis

Consumer-Centric Product Mapping: LSA vs. EPM
- Benoît Rousseau and Daniel M. Ennis

2017
Replicated Preference Testing to Diagnose Consumer Segmentation
- Daniel M. Ennis

Large TURF Problems: Finding Custom Solutions
- John M. Ennis and William J. Russ

Claiming Superiority and Equivalence Simultaneously
- Daniel M. Ennis

Preference without a Difference
- Benoît Rousseau and Daniel M. Ennis

2016
Selecting Products for a Category Appraisal with Constraints
- Benoît Rousseau, Daniel M. Ennis, and John M. Ennis

A Process Perspective to Understand Hedonics
- Daniel M. Ennis

eTURF 2.0: From Astronomical Numbers of Portfolios to a Single Optimum
- John M. Ennis and William J. Russ

Issues in "Up-To" Advertising Claims
- Daniel M. Ennis

2015
Predicting Preference From Liking
- Benoît Rousseau and Daniel M. Ennis

Comparing Perceptual Noise in Rating Scales
- Daniel M. Ennis

Count-Based Comparison Claims
- Daniel M. Ennis and John M. Ennis

Identifying and Removing Sources of Bias in Product Tests and Surveys
- Daniel M. Ennis and Benoît Rousseau

2014
Answering Questions in Surveys
- Catherine Sears and Daniel M. Ennis

Unfolding
- Daniel M. Ennis

Confidence Intervals and Consumer Relevance
- Daniel M. Ennis, Benoît Rousseau, and John M. Ennis

Rotations in Product Tests and Surveys
- Daniel M. Ennis, Benoît Rousseau, and John M. Ennis

2013
How to Find Optimal Combinations of Brand Components
- Daniel M. Ennis and John M. Ennis

How to Diagnose the Need for 3D Unfolding
- Benoît Rousseau

Transitioning from Proportion of Discriminators to Thurstonian Delta
- Benoît Rousseau, Daniel M. Ennis, and John M. Ennis

When Are Two Products Close Enough to be Equivalent?
- Benoît Rousseau, and Daniel M. Ennis

2012
Proper Task Instructions and the Two-out-of-Five Test
- John M. Ennis, Benoît Rousseau, and Daniel M. Ennis

Efficient Representation of Pairwise Sensory Information
- John M. Ennis and Daniel M. Ennis

Deciphering the Language of Emotions to Develop an Emotion Lexicon
- Benoît Rousseau, John M. Ennis, and Daniel M. Ennis

Reducing Costs with Tetrad Testing
- John M. Ennis and Benoît Rousseau

2011
Interpreting Applicability Scores
- Daniel M. Ennis and John M. Ennis

Illuminating Product by Demographic Interactions
- Benoît Rousseau and Daniel M. Ennis

From Many to Few: A Graph Theoretic Screening Tool for Product Developers
- John M. Ennis, Charles M. Fayle, and Daniel M. Ennis

How to Set Identicality Norms for No Preference Data
- Daniel M. Ennis and John M. Ennis

2010
Action Standards in a Successful Sensory Discrimination Program
-  Benoît Rousseau

How to Account for "No Difference / Preference" Counts
-  Daniel M. Ennis and John M. Ennis

Portfolio Optimization Based on First Choice
-  John M. Ennis and Charles Fayle

Optimum Product Selection for a Drivers of Liking Project
- John M. Ennis, Daniel M. Ennis and Charles Fayle

2009
Unfolding  Liking using Landscape Segmentation Analysis® and Internal Preference Mapping
- Benoît Rousseau

Scaling First-Last, MaxDiff and Best-Worst Data
- Daniel M. Ennis

Multiplicative versus Ratio Comparisons
- John M. Ennis and Daniel M. Ennis

Brand Effects on the Landscape of Consumer Experience
- Michael B. Casale and Daniel M. Ennis

2008
New Developments in Equivalence Testing
- Daniel M. Ennis and John M. Ennis

An Application of Landscape Segmentation Analysis to Blind and Branded Data
- Benoît Rousseau and Daniel M. Ennis

Conditional Ratio Statements
- John M. Ennis and Daniel M. Ennis

Improving the Cost and Speed of Product Innovation
- Benoît Rousseau and Daniel M. Ennis

2007
Category Learning and Feedback in Panel Training
- Michael B. Casale and Daniel M. Ennis

Why Proportion of Discriminators is Method-Specific
- Benoît Rousseau and Daniel M. Ennis

Do Consumers have multiple ideals depending on usage occasions?
- Daniel M. Ennis

Discovering Time-Dependent Trends
- Richard E. Lampe and Daniel M. Ennis

2006
Parity Claims
- Daniel M. Ennis

Indices of Sensory Difference: R-Index and d'
- Benoît Rousseau

Making Ratio Statements About Product Improvements
- Daniel M. Ennis

Identifying Emerging Opportunities in Consumer Markets
- Luke Anderson and Daniel M. Ennis

2005
Alternative Methods for Understanding Preference
- Richard E. Lampe

Relative Scales and Difference Testing Norms
- Daniel M. Ennis

Analytic Approaches to Accounting for Individual Ideal Points
- Daniel M. Ennis

Measuring Product Performance / Image Tradeoffs
- Daniel M. Ennis

2004
From Ranks to Intensities
- Daniel M. Ennis

Product Concept Fits
- Benoît Rousseau and Daniel M. Ennis

Relating Expert and Consumer Sensitivities
- Benoît Rousseau

Competitive Strategies in Product Portfolio Design
- Daniel M. Ennis

2003
Just-About-Right Scales
- Daniel M. Ennis

Designing New Product Portfolios
- Daniel M. Ennis

Identifying Latent Segments
- Daniel M. Ennis and James Luke Anderson

2002
Motivations for Product Consumption
- Daniel M. Ennis and Benoît Rousseau

Multivariate Difference Testing with Multiple Samples
- Benoît Rousseau and Daniel M. Ennis

Discrimination Testing with Multiple Samples
- Benoît Rousseau and Daniel M. Ennis

2001
Probabilistic Multidimensional Scaling
- Daniel M. Ennis

How Retasting Can Improve the Power of Product Testing
- Benoît Rousseau and Daniel M. Ennis

Drivers of Liking® for Multiple Segments
- Daniel M. Ennis

2000
Population Thresholds
- Daniel M. Ennis

Multivariate Sensory Quality Control
- Daniel Ennis and Jian Bi

1999
Models for the A-Not A Method
- Jian Bi and Daniel M. Ennis

Thurstonian Models for Intensity Ratings
- Daniel M. Ennis

Multivariate Preference Mapping
- Daniel M. Ennis

Molecular Mixture Models: Accounting for Synergy in Sweet Taste Mixtures
- Daniel M. Ennis

1998
Models for Replicated Ratings
- Jian Bi and Daniel M. Ennis

Thurstonian Scaling for Difference Tests
- Daniel M. Ennis

Replicated Difference and Preference Testing with Applications to Claims Support
- Jian Bi and Daniel M. Ennis

Drivers of Liking®
- Daniel M. Ennis and Jian Bi

1995
Maximizing Potential Market Share Based on Product and/or Concept Choices
- Daniel M. Ennis and Kenneth Mullen