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Activity Number: 477
Type: Contributed
Date/Time: Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
Sponsor: Business and Economic Statistics Section
Abstract - #303515
Title: Discovering Unsuspected Interactions in Choice Experiments: A Case Study and Commentary on Design Issues
Author(s): John Lawson*+
Companies: Brigham Young University
Address: 223 TMCB, Department of Statistics, Provo, UT, 84604,
Keywords: Multinomial Logit Model ; Interactions ; DP and DB optimal designs ; Hidden Projection Properties ; Generalized Resolution ; 2k-p Designs
Abstract:

In this paper we review choice experiments, methods for analysis of data from choice experiments, and common strategies for creating choice experiment designs. Next, we discuss a specific case study where two unsuspected interactions were discovered that provided much additional insight. We document the specific choice experiment design and method of data analysis that allowed the discovery of these interactions. Finally, we comment on the applicability of this design and analysis strategy to other choice experiments.

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