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Comparing Designs Constructed With and Without Priors for Choice Experiments: A Case Study
- Source :
- Journal of Statistical Theory and Practice. 9:330-360
- Publication Year :
- 2014
- Publisher :
- Springer Science and Business Media LLC, 2014.
-
Abstract
- This article describes the second stage of an empirical comparison of the performance of designs for a discrete choice experiment. Six designs were chosen to represent the range of construction techniques that are currently popular for choice experiments, with some of the designs incorporating into the design generation process prior knowledge of the parameters gained from the previous stage of this experiment. Each design had 320 respondents, each of whom completed 16 choice sets. The results indicate that efficient designs constructed using several different strategies all identify various types of heterogeneity with similar levels of precision. Specifying the right model to best describe the underlying preferences of respondents in each sample may then become the limiting factor in the estimation of more complex generalized multinomial models, rather than the design per se.
- Subjects :
- Statistics and Probability
Generation process
Choice set
business.industry
Discrete choice experiment
Sample (statistics)
Machine learning
computer.software_genre
Mixed logit
Prior probability
Statistics
Range (statistics)
Multinomial distribution
Artificial intelligence
business
computer
Mathematics
Subjects
Details
- ISSN :
- 15598616 and 15598608
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Journal of Statistical Theory and Practice
- Accession number :
- edsair.doi...........173defe33361441d9d9e1c7614851ab4