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Promises and Pitfalls of Anchoring Vignettes in Health Survey Research

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  • Hanna Grol-Prokopczyk
  • Emese Verdes-Tennant
  • Mary McEniry
  • Márton Ispány

Abstract

Data harmonization is a topic of growing importance to demographers, who increasingly conduct domestic or international comparative research. Many self-reported survey items cannot be directly compared across demographic groups or countries because these groups differ in how they use subjective response categories. Anchoring vignettes, already appearing in numerous surveys worldwide, promise to overcome this problem. However, many anchoring vignettes have not been formally evaluated for adherence to the key measurement assumptions of vignette equivalence and response consistency. This article tests these assumptions in some of the most widely fielded anchoring vignettes in the world: the health vignettes in the World Health Organization (WHO) Study on Global AGEing and Adult Health (SAGE) and World Health Survey (WHS) (representing 10 countries; n=52,388), as well as similar vignettes in the Health and Retirement Study (HRS) (n=4,528). Findings are encouraging regarding adherence to response consistency, but reveal substantial violations of vignette equivalence both cross-nationally and across socioeconomic groups. That is, members of different sociocultural groups appear to interpret vignettes as depicting fundamentally different levels of health. The evaluated anchoring vignettes do not fulfill their promise of providing interpersonally comparable measures of health. Recommendations for improving future implementations of vignettes are discussed. Copyright Population Association of America 2015

Suggested Citation

  • Hanna Grol-Prokopczyk & Emese Verdes-Tennant & Mary McEniry & Márton Ispány, 2015. "Promises and Pitfalls of Anchoring Vignettes in Health Survey Research," Demography, Springer;Population Association of America (PAA), vol. 52(5), pages 1703-1728, October.
    • Handle: RePEc:spr:demogr:v:52:y:2015:i:5:p:1703-1728
    DOI: 10.1007/s13524-015-0422-1
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    4. Silvana Robone, 2017. "Comment on ‘Response –scale heterogeneity in the EQ‐5D: Can we use vignettes to address response‐scale heterogeneity in the EQ‐5D? Not if but how’," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 395-397, March.
    5. Santosh Jatrana, 2021. "Gender differences in self-reported health and psychological distress among New Zealand adults," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(21), pages 693-726.
    6. Knott, Rachel J. & Lorgelly, Paula K. & Black, Nicole & Hollingsworth, Bruce, 2017. "Differential item functioning in quality of life measurement: An analysis using anchoring vignettes," Social Science & Medicine, Elsevier, vol. 190(C), pages 247-255.
    7. Molina, Teresa, 2017. "Adjusting for heterogeneous response thresholds in cross-country comparisons of self-reported health," The Journal of the Economics of Ageing, Elsevier, vol. 10(C), pages 1-20.
    8. Coustaury, Camille & Jeannot, Elias & Moreau, Adele & Nietge, Clotilde & Maharani, Asri & Richards, Lindsay & Präg, Patrick, 2023. "Subjective socioeconomic status and self-rated health in the English Longitudinal Study of Aging: A fixed-effects analysis☆☆We thank the anonymous reviewers of Social Science & Medicine for their help," Social Science & Medicine, Elsevier, vol. 336(C).
    9. Oksuzyan, Anna & Dańko, Maciej J. & Caputo, Jennifer & Jasilionis, Domantas & Shkolnikov, Vladimir M., 2019. "Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior," Social Science & Medicine, Elsevier, vol. 228(C), pages 41-50.
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    11. Laura Rossouw & Teresa Bago d’Uva & Eddy Doorslaer, 2018. "Poor Health Reporting? Using Anchoring Vignettes to Uncover Health Disparities by Wealth and Race," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1935-1956, October.

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