首页 | 官方网站   微博 | 高级检索  
     


An improved two‐stage variance balance approach for constructing partial profile designs for discrete choice experiments
Authors:Roselinde Kessels  Bradley Jones  Peter Goos
Affiliation:1. Faculty of Applied Economics and StatUa Center for Statistics, Universiteit Antwerpen, 2000 Antwerp, Belgium;2. JMP Division, SAS Institute Inc., Cary, NC, USA;3. Faculty of Bioscience Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 30, 3001 Leuven, Belgium
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 urn:x-wiley:asmb:media:asmb2065:asmb2065-math-0002‐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. Copyright © 2014 John Wiley & Sons, Ltd.
Keywords:discrete choice experiments  Bayesian   ‐optimal design  partial profiles  lexicographic choice behavior  variance balance I and II  attribute balance
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号