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Response‐ordering effects: a methodological issue in conjoint analysis

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  • Shelley Farrar
  • Mandy Ryan

Abstract

Conjoint analysis is a technique relatively new to the evaluation of health care services in the UK. The technique uses data generated from questionnaires. This paper addresses the issue of response‐ordering effects that may result from the ordering of dimensions of benefit within a question. Two questionnaires were given to 216 hospital consultants as part of a priority setting exercise. These were identical other than the ordering of the dimensions within each question. The regression analysis was segmented according to questionnaire type and the coefficients of the segmentation were tested for statistically significant differences. The results show no evidence of ordering effects. Copyright © 1999 John Wiley & Sons, Ltd.

Suggested Citation

  • Shelley Farrar & Mandy Ryan, 1999. "Response‐ordering effects: a methodological issue in conjoint analysis," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 75-79, February.
    • Handle: RePEc:wly:hlthec:v:8:y:1999:i:1:p:75-79
    DOI: 10.1002/(SICI)1099-1050(199902)8:1<75::AID-HEC400>3.0.CO;2-5
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    References listed on IDEAS

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    1. Mandy Ryan & Emma McIntosh & Phil Shackley, 1998. "Methodological issues in the application of conjoint analysis in health care," Health Economics, John Wiley & Sons, Ltd., vol. 7(4), pages 373-378, June.
    2. Adamowicz, Wiktor L. & Boxall, P.C. & Louviere, J.J., 1994. "Stated Preference Methods for Environmental Valuation," Staff Paper Series 232558, University of Alberta, Department of Resource Economics and Environmental Sociology.
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    Cited by:

    1. Boxebeld, Sander, 2024. "Ordering effects in discrete choice experiments: A systematic literature review across domains," Journal of choice modelling, Elsevier, vol. 51(C).
    2. Milena Pavlova & Wim Groot & Godefridus Merode, 2005. "An Application of Rating Conjoint Analysis to Study the Importance of Quality-, Access- and Price-attributes to Health Care Consumers," Economic Change and Restructuring, Springer, vol. 37(3), pages 267-286, September.
    3. Jeannette Winkelhage & Adele Diederich, 2012. "The Relevance of Personal Characteristics in Allocating Health Care Resources—Controversial Preferences of Laypersons with Different Educational Backgrounds," IJERPH, MDPI, vol. 9(1), pages 1-21, January.
    4. Trine Kjær & Mickael Bech & Dorte Gyrd‐Hansen & Kristian Hart‐Hansen, 2006. "Ordering effect and price sensitivity in discrete choice experiments: need we worry?," Health Economics, John Wiley & Sons, Ltd., vol. 15(11), pages 1217-1228, November.
    5. F. Reed Johnson & Melissa Ruby Banzhaf & William H. Desvousges, 2000. "Willingness to pay for improved respiratory and cardiovascular health: a multiple‐format, stated‐preference approach," Health Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 295-317, June.
    6. Taro Ohdoko & Kentaro Yoshida, 2012. "Public preferences for forest ecosystem management in Japan with emphasis on species diversity," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(2), pages 147-169, April.
    7. Katrin Auspurg & Annette Jäckle, 2017. "First Equals Most Important? Order Effects in Vignette-Based Measurement," Sociological Methods & Research, , vol. 46(3), pages 490-539, August.
    8. Mickael Bech & Dorte Gyrd‐Hansen, 2005. "Effects coding in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1079-1083, October.
    9. Nguyen, Thanh Cong & Le, Hoa Thu & Nguyen, Hang Dieu & Ngo, Mai Thanh & Nguyen, Hong Quang, 2021. "Examining ordering effects and strategic behaviour in a discrete choice experiment," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 394-413.
    10. Mandy Ryan & Angela Bate, 2001. "Testing the assumptions of rationality, continuity and symmetry when applying discrete choice experiments in health care," Applied Economics Letters, Taylor & Francis Journals, vol. 8(1), pages 59-63.
    11. Nick Hanley & Mandy Ryan & Robert Wright, 2003. "Estimating the monetary value of health care: lessons from environmental economics," Health Economics, John Wiley & Sons, Ltd., vol. 12(1), pages 3-16, January.
    12. Brouwer, Roy & Bateman, Ian J., 2005. "Benefits transfer of willingness to pay estimates and functions for health-risk reductions: a cross-country study," Journal of Health Economics, Elsevier, vol. 24(3), pages 591-611, May.
    13. Kara Hanson & Barbara McPake & Pamela Nakamba & Luke Archard, 2005. "Preferences for hospital quality in Zambia: results from a discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 14(7), pages 687-701, July.
    14. Rosalie Viney & Elizabeth Savage & Jordan Louviere, 2005. "Empirical investigation of experimental design properties of discrete choice experiments in health care," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 349-362, April.
    15. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    16. Célia Berchi & Jean-Marc Dupuis & Guy Launoy, 2006. "The reasons of general practitioners for promoting colorectal cancer mass screening in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(2), pages 91-98, June.

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