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Using qualitative methods for attribute development for discrete choice experiments: Issues and recommendations

Vosper, A. Jane; Flynn, Terry N.; Coast, Joanna; Horrocks, Sue; Al-Janabi, Hareth; Sutton, Eileen J.; Swancutt, Dawn R.

Authors

A. Jane Vosper

Terry N. Flynn

Joanna Coast

Sue Horrocks Susan.Horrocks@uwe.ac.uk
Occasional Associate Lecturer - CHSS

Hareth Al-Janabi

Eileen J. Sutton

Dawn R. Swancutt



Abstract

SUMMARY Attribute generation for discrete choice experiments (DCEs) is often poorly reported, and it is unclear whether this element of research is conducted rigorously. This paper explores issues associated with developing attributes for DCEs and contrasts different qualitative approaches. The paper draws on eight studies, four developed attributes for measures, and four developed attributes for more ad hoc policy questions. Issues that have become apparent through these studies include the following: the theoretical framework for random utility theory and the need for attributes that are neither too close to the latent construct nor too intrinsic to people's personality; the need to think about attribute development as a two-stage process involving conceptual development followed by refinement of language to convey the intended meaning; and the difficulty in resolving tensions inherent in the reductiveness of condensing complex and nuanced qualitative findings into precise terms. The comparison of alternative qualitative approaches suggests that the nature of data collection will depend both on the characteristics of the question (its sensitivity, for example) and the availability of existing qualitative information. An iterative, constant comparative approach to analysis is recommended. Finally, the paper provides a series of recommendations for improving the reporting of this element of DCE studies. Copyright © 2011 John Wiley & Sons, Ltd. Copyright © 2011 John Wiley & Sons, Ltd.

Journal Article Type Article
Publication Date Jun 1, 2012
Journal Health Economics
Print ISSN 1057-9230
Electronic ISSN 1099-1050
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 21
Issue 6
Pages 730-741
DOI https://doi.org/10.1002/hec.1739
Keywords attribute development, discrete choice experiment, best worst scaling, qualitative methods
Public URL https://uwe-repository.worktribe.com/output/946726
Publisher URL http://dx.doi.org/10.1002/hec.1739