Title
An improved two-stage variance balance approach for constructing partial profile designs for discrete choice experiments An improved two-stage variance balance approach for constructing partial profile designs for discrete choice experiments
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Subject
Economics
Mathematics
Source (journal)
Applied stochastic models in business and industry
Volume/pages
31(2015) :5 , p. 626-648
ISSN
1526-4025
1524-1904
ISI
000362411600004
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In many discrete choice experiments set up for product innovation, the number of attributes is large, which results in a substantial cognitive burden for the respondents. To reduce the cognitive burden in such cases, Green suggested in the early '70s the use of partial profiles that vary only the levels of a subset of the attributes. In this paper, we present two new methods for constructing Bayesian inline image-optimal partial profile designs for estimating main-effects models. They involve alternative generalizations of Green's approach that makes use of balanced incomplete block designs and take into account the fact that attributes may have differing numbers of levels. We refer to our methods as variance balance I and II because they vary an attribute with a larger number of levels more often than an attribute with fewer levels to stabilize the variances of the individual part-worth estimates. The two variance balance methods differ in the way attributes with differing numbers of levels are weighted. Both methods provide statistically more efficient partial profile designs for differing numbers of attribute levels than another generalization of Green's approach that does not weight the attributes. This method is called attribute balance. We show results from an actual experiment in software development demonstrating the usefulness of our methods.
E-info
https://repository.uantwerpen.be/docman/iruaauth/426f24/36c10841.pdf
Full text (open access)
https://repository.uantwerpen.be/docman/irua/4db956/10842.pdf
E-info
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