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 27 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.

2017
* 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