Too many attributes: A test of the validity of combining discrete-choice and best–worst scaling data

Jing Zhang, F. Reed Johnson, Ateesha F. Mohamed and A. Brett Hauber

Journal of choice modelling, 2015, vol. 15, issue C, 1-13

Abstract: Best-practice guidelines for stated-preference methods suggest there is a limit to the number of attributes respondents can reliably evaluate. This study explores a cost-effective solution to combining elicitation formats from a single study to obtain more preference information from a given sample while limiting respondents’ cognitive burden.

Keywords: Discrete choice experiments; Choice-format conjoint analysis; Best–worst scaling; Patient preferences; Data enrichment (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1755534514000463
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:eejocm:v:15:y:2015:i:c:p:1-13

DOI: 10.1016/j.jocm.2014.12.001

Access Statistics for this article

Journal of choice modelling is currently edited by S. Hess and J.M. Rose

More articles in Journal of choice modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().