Discrete choice experiment validation: A resource project case study

Sisi Que, Kwame Awuah-Offei, Nathan Weidner and Yumin Wang

Journal of choice modelling, 2017, vol. 22, issue C, 39-50

Abstract: It is necessary to validate discrete choice experiments to ensure they will lead to reasonable responses and, consequently, to valid modeling results. While some researchers have started to consider the validity of their discrete choice experiments, the approaches used for such validation are not widely reported in the literature. This paper addresses the validation process, which is crucial to the integrity of discrete choice experiments. In particular, this study addresses the selection of attributes and levels, as well as the cognitive load imposed on respondents.

Keywords: Design validation; Discrete choice experiment design; Online surveys; Stakeholder analysis (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1755534515300439
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:22:y:2017:i:c:p:39-50

DOI: 10.1016/j.jocm.2017.01.006

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 ().