Drivers of Liking® with Incomplete Block Designs and Missing Data
Taught by Dr. Daniel Ennis
Unfolding of liking or any other form of hedonic measurement involves the idea that people choose what they like based on how similar an item is to an ideal created from past experience. In order to locate the ideal points in a low-dimensional sensory space of liking drivers, it is necessary to have multiple products evaluated by multiple people in order to estimate the product and ideal locations accurately. The analysis is usually conducted using Landscape Segmentation Analysis® (LSA.) In this webinar we will explore the stability of LSA solutions as a function of the product and consumer ideal sets and their relationship to each other. We will consider situations in which only some of the products have been evaluated by some of the people. This could occur by design, such as occurs when a balanced incomplete block design is used, or inadvertently when people drop out of a study but have provided some evaluations on some of the products.
This webinar is intended for a general audience of sensory professionals and graduate students. No detailed technical knowledge is assumed.
A digital recording of this webinar is available for purchase ($289). Please complete the form at the bottom of this page to purchase.
Digital Recording ($289)
Attendance + Digital Recording ($359)
Attendance only | $269
Recording only | $289
Attendance & Recording | $359
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