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 [EMAIL PROTECTED]
