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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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    1. Nigel Rice & Silvana Robone & Peter Smith, 2011. "Analysis of the validity of the vignette approach to correct for heterogeneity in reporting health system responsiveness," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(2), pages 141-162, April.
    2. Arie Kapteyn, 2010. "What can we learn from (and about) global aging?," Demography, Springer;Population Association of America (PAA), pages 191-209.
    3. Teresa Bago d’Uva & Maarten Lindeboom & Owen O’Donnell & Eddy van Doorslaer, 2011. "Slipping Anchor?: Testing the Vignettes Approach to Identification and Correction of Reporting Heterogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 875-906.
    4. Corrado, L. & Weeks, M., 2010. "Identification Strategies in Survey Response Using Vignettes," Cambridge Working Papers in Economics 1031, Faculty of Economics, University of Cambridge.
    5. Arie Kapteyn, 2010. "What can we learn from (and about) global aging?," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 191-209, March.
    6. Burgard, Sarah A. & Chen, Patricia V., 2014. "Challenges of health measurement in studies of health disparities," Social Science & Medicine, Elsevier, vol. 106(C), pages 143-150.
    7. Hao Dong & Cameron Campbell & Satomi Kurosu & Wenshan Yang & James Lee, 2015. "New Sources for Comparative Social Science: Historical Population Panel Data From East Asia," Demography, Springer;Population Association of America (PAA), vol. 52(3), pages 1061-1088, June.
    8. Kristensen, Nicolai & Johansson, Edvard, 2008. "New evidence on cross-country differences in job satisfaction using anchoring vignettes," Labour Economics, Elsevier, vol. 15(1), pages 96-117, February.
    9. Teresa Bago d'Uva & Maarten Lindeboom & Owen O'Donnell & Eddy van Doorslaer, 2011. "Education‐related inequity in healthcare with heterogeneous reporting of health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 639-664, July.
    10. Shetterly, S.M. & Baxter, J. & Mason, L.D. & Hamman, R.F., 1996. "Self-rated health among hispanic vs non-hispanic white adults: The San Luis Valley health and aging study," American Journal of Public Health, American Public Health Association, vol. 86(12), pages 1798-1801.
    11. King, Gary & Wand, Jonathan, 2007. "Comparing Incomparable Survey Responses: Evaluating and Selecting Anchoring Vignettes," Political Analysis, Cambridge University Press, vol. 15(1), pages 46-66, January.
    12. Arthur van Soest & Liam Delaney & Colm Harmon & Arie Kapteyn & James P. Smith, 2011. "Validating the use of anchoring vignettes for the correction of response scale differences in subjective questions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 575-595, July.
    13. Arthur van Soest & Hana Vonkova, 2014. "Testing the specification of parametric models by using anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 115-133, January.
    14. Steven Ruggles, 2014. "Big Microdata for Population Research," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 287-297, February.
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    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Teresa Molina, 2016. "Reporting Heterogeneity and Health Disparities Across Gender and Education Levels: Evidence From Four Countries," Demography, Springer;Population Association of America (PAA), vol. 53(2), pages 295-323, April.
    9. 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.
    10. Präg, Patrick & Mills, Melinda C. & Wittek, Rafael, 2016. "Subjective socioeconomic status and health in cross-national comparison," Social Science & Medicine, Elsevier, vol. 149(C), pages 84-92.

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