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Preference measurement using conjoint methods: an empirical investigation of reliability

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Author Info

  • Stirling Bryan

    (Health Economics Facility, University of Birmingham, UK)

  • Lisa Gold

    (Health Economics Facility, University of Birmingham, UK)

  • Rob Sheldon

    (Accent Marketing and Research, London, UK)

  • Martin Buxton

    (Health Economics Research Group, Brunel University, UK)

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    Abstract

    The application of conjoint measurement to the field of health economics is relatively new, although there is growing interest and there have been a number of studies undertaken recently. Wider acceptance of the technique requires methodological issues concerning both reliability and validity to be addressed. This paper reports an empirical investigation of the test-retest reliability of the discrete choice conjoint measurement approach in health care. This investigation of conjoint reliability was framed using the clinical context of investigation and treatment of knee injuries. A high level of reliability at both the input data and results levels was demonstrated. Copyright © 2000 John Wiley & Sons, Ltd.

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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 9 (2000)
    Issue (Month): 5 ()
    Pages: 385-395

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    Handle: RePEc:wly:hlthec:v:9:y:2000:i:5:p:385-395

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    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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    References

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    1. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
    2. Vick, Sandra & Scott, Anthony, 1998. "Agency in health care. Examining patients' preferences for attributes of the doctor-patient relationship," Journal of Health Economics, Elsevier, vol. 17(5), pages 587-605, October.
    3. Mandy Ryan & Jenny Hughes, 1997. "Using Conjoint Analysis to Assess Women's Preferences for Miscarriage Management," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 261-273.
    4. Green, Paul E & Srinivasan, V, 1978. " Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, University of Chicago Press, vol. 5(2), pages 103-23, Se.
    5. Stirling Bryan & Martin Buxton & Robert Sheldon & Alison Grant, 1998. "Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences," Health Economics, John Wiley & Sons, Ltd., vol. 7(7), pages 595-603.
    6. Alan Shiell & Penelope Hawe & Janelle Seymour, 1997. "Values and preferences are not necessarily the same," Health Economics, John Wiley & Sons, Ltd., vol. 6(5), pages 515-518.
    7. Magat, Wesley A. & Kip Viscusi, W. & Huber, Joel, 1988. "Paired comparison and contingent valuation approaches to morbidity risk valuation," Journal of Environmental Economics and Management, Elsevier, vol. 15(4), pages 395-411, December.
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    Cited by:
    1. Yoo, Hong Il & Doiron, Denise, 2013. "The use of alternative preference elicitation methods in complex discrete choice experiments," Journal of Health Economics, Elsevier, vol. 32(6), pages 1166-1179.
    2. Tami L. Mark & Joffre Swait, 2004. "Using stated preference and revealed preference modeling to evaluate prescribing decisions," Health Economics, John Wiley & Sons, Ltd., vol. 13(6), pages 563-573.
    3. Schwappach, David L.B. & Strasmann, Thomas J., 2006. ""Quick and dirty numbers"?: The reliability of a stated-preference technique for the measurement of preferences for resource allocation," Journal of Health Economics, Elsevier, vol. 25(3), pages 432-448, May.
    4. Ulf Liebe & Jürgen Meyerhoff & Volkmar Hartje, 2012. "Test–Retest Reliability of Choice Experiments in Environmental Valuation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 53(3), pages 389-407, November.
    5. Jane Hall & Patricia Kenny & Madeleine King & Jordan Louviere & Rosalie Viney & Angela Yeoh, 2002. "Using stated preference discrete choice modelling to evaluate the introduction of varicella vaccination," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 457-465.
    6. David L.B. Schwappach, 2003. "Does it matter who you are or what you gain? an experimental study of preferences for resource allocation," Health Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 255-267.
    7. Stirling Bryan & Tracy Roberts & Chris Heginbotham & Alison McCallum, 2002. "QALY-maximisation and public preferences: results from a general population survey," Health Economics, John Wiley & Sons, Ltd., vol. 11(8), pages 679-693.
    8. Deborah A. Marshall & F. Reed Johnson & Nathalie A. Kulin & Semra Özdemir & Judith M. E. Walsh & John K. Marshall & Stephanie Van Bebber & Kathryn A. Phillips, 2009. "How do physician assessments of patient preferences for colorectal cancer screening tests differ from actual preferences? A comparison in Canada and the United States using a stated-choice survey," Health Economics, John Wiley & Sons, Ltd., vol. 18(12), pages 1420-1439.
    9. Stirling Bryan & Paul Dolan, 2004. "Discrete choice experiments in health economics," The European Journal of Health Economics, Springer, vol. 5(3), pages 199-202, September.
    10. Semra Özdemir & Ateesha F. Mohamed & F. Reed Johnson & A. Brett Hauber, 2010. "Who pays attention in stated-choice surveys?," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 111-118.
    11. Tara Maddala & Kathryn A. Phillips & F. Reed Johnson, 2003. "An experiment on simplifying conjoint analysis designs for measuring preferences," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 1035-1047.
    12. Peter Martinsson, 2002. "Using Choice Experiments for Non-Market Valuation," EEPSEA Special and Technical Paper sp200205t2, Economy and Environment Program for Southeast Asia (EEPSEA), revised May 2002.
    13. Alan Shiell & Lisa Gold, 2003. "If the price is right: vagueness and values clarification in contingent valuation," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 909-919.

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