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Hedonic
Acceptability For Sale
Agency Testing
Alcoholic Beverages
Analysis
Animated Sequences
Anova-Simultaneous Component Analysis (ASCA)
Aroma
Artificial Intelligence
B-Cluster Analysis
BSG-Enriched Biscuits
Balanced Incomplete Block (BIB)
Beer
Benchmarks
Beverages
Binary Taste Interactions
Biscuits
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Bread
Brettanomyces Metabolites
Brewer’s Spent Grain (BSG)
Calibration
Carbonation
Cereal
Chance Limit
Chance-Corrected Beta-Binomial
Check-All-That-Apply (CATA)
Cheese
Chemometrics
Choice Overload
Citric Acid
Cluster Analysis
Color Swatches
Comments
Confidence Ellipsoid
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Consumer
Consumer Choice
Consumer Data Quality
Consumer Expectation
Consumer Perceived Difference
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Consumer Relevant Difference
Consumer Satisfaction
Consumer Testing
Correspondence Analysis
Cross-Modal Interactions
Crossdiff-Unfolding
Daily Testing
Dairy
Data Analysis
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Degree-Of-Difference
Descriptive Analysis
Difference from Control
Direct Scaling
Discriminability
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Drivers and Inhibitors of Liking
Dual-Attribute Time Intensity (DATI)
Effect Size
Emotions
Equivalence
Exports
FCM (Feedback Calibration Method)
FDFC
Fish
Flash Profiling
Focus Groups
Food Choice Motivations
Free Choice Profiling
Gin
Graph Theory
Hedonic
Highest Density Region
Ideal Product
Implicit Association Test
Imputation
In-Store Interviews
Incomplete Block Segmentation
Independent Components Analysis (ICA)
Individual Differences
Instructions
Joint Approximate Diagonalization of Eigenmatrices (JADE)
Just-About-Right (JAR)
Kombucha
L1-Norm
L1-Norm Principal Component Analysis (L1-Norm PCA)
Less
Light-Struck
Liking
Machine Learning
Meat
Median of Absolute Deviations (MAD)
Meet-Or-Beat
Milk
Mobile Devices
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Multiple Factor Analysis (MFA)
Relating to measurements of pleasure or liking, typically captured using the 9-point hedonic scale, to assess how much consumers like or dislike a product.
February 1, 2017
Identification of drivers of (dis)liking based on dynamic sensory profiles: Comparison of Temporal Dominance of Sensations and Temporal Check-All-That-Apply
September 11, 2016
Evaluation of consumer perception dynamics
July 29, 2016
Appropriate Methods of Imputation for Consumer Hedonic Data
July 16, 2016
Advances in Temporal Check-All-That-Apply (TCATA) Methodology and Analysis
January 23, 2016
Using TDS dyads and other dominance sequences to characterize products and investigate liking changes
November 23, 2015
A cost/benefit analysis of consumer CATA and trained descriptive analysis
September 23, 2015
Sugar reduction in probiotic chocolate-flavored milk: Impact on dynamic sensory profile and liking
September 22, 2015
Product selection for liking studies: the sensory-informed design
September 17, 2014
Combining highly efficient methods can reduce costs without compromise
July 30, 2014
TDS dyads to co-investigate sensation and liking changes
August 14, 2013
Existing and new approaches for analysing data from Check All That Apply questions
August 11, 2013
Sensory informed design: An effective clustering of incomplete block consumer data
September 20, 2012
Designing a consumer liking study using prior sensory information: consumer segments and liking drivers from a study using a designed incomplete block design
July 13, 2012
Sensory Informed Incomplete Block Designs
July 26, 2009
Segmentation of BIB consumer liking of high-fatigue products: Sensory confirmation of statistical methods
July 25, 2004
Development of a wine style guided by consumer research