The Institute for Perception

Developing Advanced Research Tools for Human Perceptual Measurement
 
 
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Now accepting applications for the 2008 Institute for Perception Award
The deadline for applying for The Institute for Perception award is January 23, 2009

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IFPress 11.4 Currently Available:
New Developments in Equivalence Testing

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Spring 2009 Short Course
The Lodge, Williamsburg, VA
March 30 - April 3, 2009
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Seminar Topics - Page 3
TURF (TOTAL UNDUPLICATED REACH AND FREQUENCY ANALYSIS)
The TURF methodology uses rated hedonic data and provides information on which combinations of two or more products will optimize consumer satisfaction. This has useful applications, for instance, in products with several potential flavors or fragrances.
UNIVARIATE AND MULTIVARIATE DIFFERENCE TESTING WITH MULTIPLE SAMPLES
Torgerson's method is a user-friendly and powerful discrimination methodology when comparing more than just two stimuli. Its application to products with batch-to-batch variability is illustrated.
MOTIVATIONS FOR PRODUCT CONSUMPTION
Using the similarity model, consumers' reasons for consuming a particular type of product can be investigated. This model has a broad range of applications which are also illustrated.
MULTIVARIATE SENSORY QUALITY CONTROL
Multivariate sensory quality control is especially useful when investigating the simultaneous influence of multiple attributes on the quality of a product. Consideration of individual attributes might not show departures from specification. However, slight departures by multiple attributes might cause a significant decrease in quality. Multivariate sensory QC provides insights on such combined effects.
MOLECULAR MIXTURE MODELS: ACCOUNTING FOR SYNERGY
This seminar describes how psychophysical measurements can be used to establish chemical compound synergy based on a molecular model. This concept is illustrated using the glucose/fructose synergy model.
LOGISTIC REGRESSION
This regression technique is very valuable when a dependent variable that needs to be explained is not continuous (discrete). This methodology permits the uncovering of the relative effects of independent factors on a common dependent variable (preference, voting, etc.)
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