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Visual Analog Scales, Standard Gambles, and Relative Risk Aversion

Author

Listed:
  • Angela Robinson

    (Department of Epidemiology and Public Health, University of Newcastle, Newcastle Upon Tyne, United Kingdom)

  • Graham Loomes

    (Department of Economics, University of Newcastle, Newcastle Upon Tyne, United Kingdom)

  • Michael Jones-Lee

    (Department of Economics, University of Newcastle, Newcastle Upon Tyne, United Kingdom)

Abstract

Background . It has been argued that visual analog scales (VASs) elicit an individual’s measurable value function. The theoretical link between an individual’s measurable value function v(.) and his or her von Neumann-Morgenstern utility function u(.) appears to provide a justification for transforming VAS scores into standard gamble (SG) utilities. However, VAS scores have been found to be subject to the effects of context, which casts doubt that the procedure is properly revealing v(.). Methods . The authors tested for the effects of context on VAS and SG scores. They also explored whether the range-frequency (R-F) model of Parducci offers a means of correcting VAS scores for the effects of context. Results and conclusions . The R-F model may provide a means of correcting VAS scores for the effects of context, but no stable relationship exists between these corrected scores and SG utilities. Hence, there remain no grounds for transforming VAS scores into SG utilities.

Suggested Citation

  • Angela Robinson & Graham Loomes & Michael Jones-Lee, 2001. "Visual Analog Scales, Standard Gambles, and Relative Risk Aversion," Medical Decision Making, , vol. 21(1), pages 17-27, February.
    • Handle: RePEc:sae:medema:v:21:y:2001:i:1:p:17-27
    DOI: 10.1177/0272989X0102100103
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    References listed on IDEAS

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    1. Imran S. Currim & Rakesh K. Sarin, 1984. "A Comparative Evaluation of Multiattribute Consumer Preference Models," Management Science, INFORMS, vol. 30(5), pages 543-561, May.
    2. Torrance, George W., 1976. "Social preferences for health states: An empirical evaluation of three measurement techniques," Socio-Economic Planning Sciences, Elsevier, vol. 10(3), pages 129-136.
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    Cited by:

    1. Antoni Bosch-Domènech & Joaquim Silvestre, 2013. "Measuring risk aversion with lists: a new bias," Theory and Decision, Springer, vol. 75(4), pages 465-496, October.
    2. Sylvie M. C. van Osch & Peter P. Wakker & Wilbert B. van den Hout & Anne M. Stiggelbout, 2004. "Correcting Biases in Standard Gamble and Time Tradeoff Utilities," Medical Decision Making, , vol. 24(5), pages 511-517, October.
    3. Stefan A. Lipman & Werner B. F. Brouwer & Arthur E. Attema, 2020. "What is it going to be, TTO or SG? A direct test of the validity of health state valuation," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1475-1481, November.
    4. Attema, Arthur E. & Brouwer, Werner B.F. & l’Haridon, Olivier, 2013. "Prospect theory in the health domain: A quantitative assessment," Journal of Health Economics, Elsevier, vol. 32(6), pages 1057-1065.
    5. Edward J. D. Webb & John O’Dwyer & David Meads & Paul Kind & Penny Wright, 2020. "Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 787-800, July.
    6. Paul F. M. Krabbe & Elly A. Stolk & Nancy J. Devlin & Feng Xie & Elise H. Quik & A. Simon Pickard, 2017. "Head-to-head comparison of health-state values derived by a probabilistic choice model and scores on a visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(8), pages 967-977, November.
    7. Shin, Soye & Magnan, Nicholas & Mullally, Conner & Janzen, Sarah, 2022. "Demand for Weather Index Insurance among Smallholder Farmers under Prospect Theory," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 82-104.
    8. Abellan-Perpiñan, Jose Maria & Bleichrodt, Han & Pinto-Prades, Jose Luis, 2009. "The predictive validity of prospect theory versus expected utility in health utility measurement," Journal of Health Economics, Elsevier, vol. 28(6), pages 1039-1047, December.
    9. Antoni Bosch-Domènech & Joaquim Silvestre, 2013. "Measuring risk aversion with lists: a new bias," Theory and Decision, Springer, vol. 75(4), pages 465-496, October.
    10. Lisbet S. Lundsberg & Eleanor B. Schwarz & Nicole A. Vilardo & Kimberly A. Yonkers & Aileen M. Gariepy, 2018. "Clinical Validation of PROMIS Global Short Form in Pregnancy," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(1), pages 89-103, March.
    11. Ian Bateman & Brett Day & Graham Loomes & Robert Sugden, 2007. "Can ranking techniques elicit robust values?," Journal of Risk and Uncertainty, Springer, vol. 34(1), pages 49-66, February.
    12. Sylvie M. C. van Osch & Anne M. Stiggelbout, 2008. "The construction of standard gamble utilities," Health Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 31-40, January.
    13. P. Stalmeier & A. Verheijen, 2013. "Maximal endurable time states and the standard gamble: more preference reversals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 971-977, December.
    14. Rachel Baker & Angela Robinson, 2004. "Responses to standard gambles: are preferences ‘well constructed’?," Health Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 37-48, January.
    15. Han Bleichrodt & Jose Luis Pinto & Peter P. Wakker, 2001. "Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility," Management Science, INFORMS, vol. 47(11), pages 1498-1514, November.
    16. Jose-Luis Pinto-Prades & Jose-Maria Abellan-Perpiñan, 2012. "When normative and descriptive diverge: how to bridge the difference," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 38(4), pages 569-584, April.
    17. Immanuel Lampe & Daniel Würtenberger, 2019. "Loss Aversion And The Demand For Index Insurance," Working Papers on Finance 1907, University of St. Gallen, School of Finance.
    18. Amir Shmueli & David Messika & Havi Murad & Laurence Freedman, 2008. "Does greater exposure to own-health data make a difference on the visual analog scale?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(1), pages 63-67, February.
    19. Han Bleichrodt & Jose Maria Abellan-Perpiñan & Jose Luis Pinto-Prades & Ildefonso Mendez-Martinez, 2007. "Resolving Inconsistencies in Utility Measurement Under Risk: Tests of Generalizations of Expected Utility," Management Science, INFORMS, vol. 53(3), pages 469-482, March.
    20. Valerie Seror, 2008. "Fitting observed and theoretical choices – women's choices about prenatal diagnosis of Down syndrome," Health Economics, John Wiley & Sons, Ltd., vol. 17(5), pages 557-577, May.
    21. Lampe, Immanuel & Würtenberger, Daniel, 2020. "Loss aversion and the demand for index insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 678-693.
    22. Oliver, Adam, 2006. "Further evidence of preference reversals: Choice, valuation and ranking over distributions of life expectancy," Journal of Health Economics, Elsevier, vol. 25(5), pages 803-820, September.

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