
MAY 2023 PROGRAM

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Fundamentals of Discrimination Testing
and Drivers of Liking®
May 23 - 25, 2023
The Royal Savoy Hotel & Spa | Lausanne, Switzerland
*Virtual and in-person attendance options are available for this course

REGISTRATION
FEE
INCLUDES:
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Printed manuals of slides and exercises
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3-month free software trial of IFPrograms® Professional
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A printed copy of our book, Tools and Applications of Sensory and Consumer Science and PDF downloads of the following 2 books: Thurstonian Models: Categorical Decision Making in the Presence of Noise
The instructors for this course will be:
Tuesday, May 23 | 8:30 - 16:30 CET
Topics
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The broad range of Thurstonian models: Triads and tetrads, dual pair, m-AFC, triangle, duo-trio, same-different, degree of difference, ap-plicability scoring, first-last choice, maxdiff, just-about-right scales, category scales, and ranking
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Response-based analysis vs. Thurstonian models
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Thurstonian models for discrimination testing: Variability, decision rules, d' values and variances
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Detailed account of common difference testing methods: 2-AFC, duo-trio, triangle, tetrad
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A better alternative to proportion detectors in the population
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Why the tetrad is superior to the triangle and duo-trio methods
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Power and sample sizes for difference testing methods
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Consumer-relevant action standards and how to create them
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Same-different vs. paired preference for consumer relevance
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Risk and sample size when switching to the tetrad method
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Building a successful internal sensory program
IFPrograms® Exercises
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Ingredient supplier change: Texture of cookies using 2-AFC and triangle
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Consumer preference without a sensory difference
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Variability in proportion detector estimates
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Estimating panel sample sizes as a function of method, power, allpha, and size of the difference
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Same-different method to establish consumer relevance (δR)
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Linking internal panel and consumer sensitivities
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Switching from the triangle to the tetrad method
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Internal sensory program development at a major food company
Wednesday, May 24 | 8:30 - 16:30 CET
Topics
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Why liking and utility are forms of similarity
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Why link consumer and sensory data?
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The sensory space in contrast to the Drivers of Liking space
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How to plan a category appraisal (IFPrograms® exercises)
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Product selection using graph theory
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Method comparison to generate sample presentation orders
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Multiple day effect, complete vs. incomplete block designs
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First mapping option for ingredient change project
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Factor analysis and its limitations
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Assumptions and potential limitations of the approach
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Thursday, May 25 | 8:30 - 16:30 CET
Topics
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Introduction to Landscape Segmentation Analysis® (LSA): Liking as a form of similarity (IFPrograms® exercises)
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Successive analytical steps
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Unfolding—combining models from Thurstone and Coombs
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Applications of LSA principles to ingredient change project (IFPrograms® exercises)
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Creating the product and consumer ideal point space
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Studying consumer segmentation
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Regressing sensory and analytical information to uncover the driv-ers of liking
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Limitations of internal and external preference mapping that do not account for perceptual variance and individual ideal points
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Application of LSA to 27 real-world category appraisals
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Using the Drivers of Liking Space (IFPrograms® exercises)
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Creating optimal product sensory profiles and portfolios
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Maximizing consumer satisfaction (absence of competition)
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Best strategy to avoid cannibalization
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Maximizing first choice against competition
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Using machine learning to characterize uncovered consumer subgroups
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Extending the use of an LSA space: New product predicted perfor-mance (IFPrograms® exercises)
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Determine the spatial location of new products using their sensory and analytical profiles
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LSA as a computer-aided design tool: Predict consumer acceptability using ideal points without new consumer testing
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Novel applications of LSA in the real world
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Course conclusions
Register
Please enter your information below to register for this course. Those registering 2 or more attendees from the same company are eligible for a 10% discount on the 2nd registration. Please contact us before registering if you are eligible for a discounted rate.