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

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Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations. / Coast, Joanna; Al-Janabi, Hareth; Sutton, EJ; Horrocks, SA; Vosper, AJ; Swancutt, Dawn; Flynn, TN.

In: Health Economics, 06.05.2011.

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@article{dcfc5fcb1445406280dbcf5cbd80f051,
title = "Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations.",
abstract = "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 {\textcopyright} 2011 John Wiley & Sons, Ltd.",
author = "Joanna Coast and Hareth Al-Janabi and EJ Sutton and SA Horrocks and AJ Vosper and Dawn Swancutt and TN Flynn",
year = "2011",
month = may,
day = "6",
doi = "10.1002/hec.1739",
language = "English",
journal = "Health Economics",
issn = "1057-9230",
publisher = "Wiley",

}

RIS

TY - JOUR

T1 - Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations.

AU - Coast, Joanna

AU - Al-Janabi, Hareth

AU - Sutton, EJ

AU - Horrocks, SA

AU - Vosper, AJ

AU - Swancutt, Dawn

AU - Flynn, TN

PY - 2011/5/6

Y1 - 2011/5/6

N2 - 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.

AB - 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.

U2 - 10.1002/hec.1739

DO - 10.1002/hec.1739

M3 - Article

C2 - 21557381

JO - Health Economics

JF - Health Economics

SN - 1057-9230

ER -