Dr. Anthony Babinec will present "Conjoint Analysis and
Discrete Choice Modeling" online at statistics.com April 7
– May 5.
In purchasing (e.g.) broadband internet service, what
attributes matter to consumers? Price? Maximum bandwidth?
Average bandwidth? Uptime? What is the consumer's ideal
product? Are there consumer segments for which differential
offerings could be constructed? Decision-makers need to
integrate answers to such questions in a quantitatively
useful fashion.
Conjoint analysis is a marketing research technique that
asks respondents to rank, rate, or choose among multiple
products or services, where each product is described using
multiple characteristics. Participants in this course will
learn how to use experimental designs to manipulate the
appearance of attribute levels in product concepts, and
then use statistical methods to infer from collected data
how the product attribute levels drive preference or
choice. They will then be able to use the resulting model
to model how the market would choose among a set of
competing product alternatives.
Participants will interact with Dr. Babinec via a private
discussion board over approximately 4 weeks; the course
will require about 5-15 hours per week and there are no set
hours when you must be online.
Details and registration:
http://www.statistics.com/content/courses/conjoint/index.html
Peter Bruce
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