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Consistently biased: documented consistency in self-reported holiday healthfulness behaviors and associated social desirability bias

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  • Courtney Bir

    (Oklahoma State University)

  • Nicole Olynk Widmar

    (Purdue University)

Abstract

Holiday healthfulness conversations are dominated by overindulgence of consumption and then, largely in reference to resolutions to do better, physical activity, and exercise aspirations. Consistency was found in self-reported agreement with a series of holiday healthfulness statements, across time, holidays (Thanksgiving versus Christmas), and samples of respondents. The largest proportion of respondents displaying social desirability bias (SDB) were found in response to two statements, namely “I will consume more alcohol during the holiday season than at other times of the year” at (63–66%) and “I make it a New Year’s Resolution to lose weight” (60–63%). Cheap talk was tested as a mechanism to reduce SDB in holiday healthfulness reporting, but showed only limited efficacy compared to the control group surveyed simultaneously. Nonetheless, the consistency across time in reporting and SDB are notable in both self-reporting of health-related data and in studying a unique consumption period around the holidays. Healthcare providers and researchers alike seek to improve the accuracy of self-reported data, making understanding of biases in reporting on sensitive topics, such as weight gain and eating over the holiday season, of particular interest.

Suggested Citation

  • Courtney Bir & Nicole Olynk Widmar, 2020. "Consistently biased: documented consistency in self-reported holiday healthfulness behaviors and associated social desirability bias," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.
    • Handle: RePEc:pal:palcom:v:7:y:2020:i:1:d:10.1057_s41599-020-00665-x
    DOI: 10.1057/s41599-020-00665-x
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    References listed on IDEAS

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    1. Farrell, Joseph & Gibbons, Robert, 1989. "Cheap talk can matter in bargaining," Journal of Economic Theory, Elsevier, vol. 48(1), pages 221-237, June.
    2. Joseph Farrell & Matthew Rabin, 1996. "Cheap Talk," Journal of Economic Perspectives, American Economic Association, vol. 10(3), pages 103-118, Summer.
    3. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    4. Jayson L. Lusk & F. Bailey Norwood, 2009. "An Inferred Valuation Method," Land Economics, University of Wisconsin Press, vol. 85(3), pages 500-514.
    5. Rehkamp, Sarah, 2016. "A Look at Calorie Sources in the American Diet," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 11, pages 1-1, December.
    6. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    7. Matthews, Steven A. & Okuno-Fujiwara, Masahiro & Postlewaite, Andrew, 1991. "Refining cheap-talk equilibria," Journal of Economic Theory, Elsevier, vol. 55(2), pages 247-273, December.
    8. Olynk, Nicole J. & Tonsor, Glynn T. & Wolf, Christopher A., 2010. "Consumer Willingness to Pay for Livestock Credence Attribute Claim Verification," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-20, August.
    9. Basker, Emek, 2005. "'Twas four weeks before Christmas: Retail sales and the length of the Christmas shopping season," Economics Letters, Elsevier, vol. 89(3), pages 317-322, December.
    10. Champ, Patricia A. & Moore, Rebecca & Bishop, Richard C., 2009. "A Comparison of Approaches to Mitigate Hypothetical Bias," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 38(2), pages 1-15, October.
    11. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    12. Fisher, Robert J, 1993. "Social Desirability Bias and the Validity of Indirect Questioning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 303-315, September.
    13. Champ, Patricia A. & Moore, Rebecca & Bishop, Richard C., 2009. "A Comparison of Approaches to Mitigate Hypothetical Bias," Agricultural and Resource Economics Review, Cambridge University Press, vol. 38(2), pages 166-180, October.
    14. John A. List, 2001. "Do Explicit Warnings Eliminate the Hypothetical Bias in Elicitation Procedures? Evidence from Field Auctions for Sportscards," American Economic Review, American Economic Association, vol. 91(5), pages 1498-1507, December.
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