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Do surveys accurately report voters over 80 years old?

  • Data, Measures and Methods
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French Politics Aims and scope

Abstract

The samples of older people produced for medical research are affected by significant biases: under-representation of the oldest sector of the population (over 80-year-olds), individuals who are isolated, sick, and those who are not very active or affected by a decline in their cognitive performance. The analysis of the three main surveys conducted in France during the 2002, 2007, and 2012 presidential elections makes it possible to establish that the samples used in political science have similar biases. Our study demonstrates that the older people are, the stronger the selection bias affecting the composition of samples. As a result, the over-80s segment is not only significantly under-represented overall but also has all the characteristics of a statistical artifact. The samples from that age band tend to be made up of individuals who are more educated, who come from the higher socioeconomic categories, and who almost always vote, whereas this segment is in reality by far the most likely to abstain from voting. These sampling problems have become a major issue for the study of political behavior, since the over 80-year-olds now represent 10% of registered voters.

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Notes

  1. Pew Internet & American Life Project 2009, Usage Over Time [Data file], Washington, DC. Retrieved June 17, 2009, from http://pewinternet.org/Trend-Data/Usage-Over-Time.aspx, quoted by Quinn (2010).

  2. Until 2006, it consisted only of individuals born between 1 and 4 October, which constituted a representative sampling at 1:100 of the French population.

  3. The sample contains 39,155 individuals in 2002, 39,121 in 2007, and 39,728 in 2012.

  4. The weights used to correct sampling biases are not able to correct the possible effects of under-representation of old-old adults in the surveys. The weights do not take into account, in fact, the internal composition of the different age groups but only their overall weight in the sample. While they provide the weight expected for individuals over 65 as a whole, they have no impact on identifiable biases within this age group. The over 80s thus remain largely under-represented, including after recovery operations.

  5. For the analysis of the biases related to the level of education, only the over 30 years were retained. The under 30s are in fact likely to be still studying, a fortiori when they were identified in the national census 2 years before the survey as it is the case in the INSEE databases. Not excluding them could thus distort our statistical measures.

  6. We do not have the detailed ages for the 2007 INSEE survey and therefore are obliged to reason by age groups. But the 2002 and 2012 INSEE surveys show that voter turnout drops sharply from 82 to 83 years of age. It is therefore likely that the gap between actual participation and declared participation in samples reaches its highest levels in those aged over 82 and 83.

References

  • Blanpain, N. 2011. L’espérance de vie s’accroît, les inégalités sociales face à la mort demeurent. Insee première, No. 4(1372).

  • Campbell, A. 1980. The American voter. Chicago: University of Chicago Press.

    Google Scholar 

  • Christensen, K.J., J. Moye, R.R. Armson, and T.M. Kern. 1992. Health screening and random recruitment for cognitive aging research. Psychology and Aging 7(2): 204.

    Article  Google Scholar 

  • Cole, S.R., and M.A. Hernán. 2008. Constructing inverse probability weights for marginal structural models. American Journal of Epidemiology 168(6): 656–664.

    Article  Google Scholar 

  • Gaxie, D. 1978. Le cens caché: inégalités culturelles et ségrégation politique, vol. 5. Paris: Seuil.

    Google Scholar 

  • Gaxie, D. 1990. Au-delà des apparences...: Sur quelques problèmes de mesure des opinions. Actes de la recherche en sciences sociales 81(1): 97–112.

    Article  Google Scholar 

  • Glenn, N.D., and M. Grimes. 1968. Aging, voting, and political interest. American Sociological Review 33: 563–575.

    Article  Google Scholar 

  • Goerres, A. 2009. The political participation of older people in Europe. London: Palgrave Macmillan.

    Book  Google Scholar 

  • Golomb, B.A., V.T. Chan, M.A. Evans, S. Koperski, H.L. White, and M.H. Criqui. 2012. The older the better: Are elderly study participants more non-representative? A cross-sectional analysis of clinical trial and observational study samples. British Medical Journal Open 2(6): e000833.

    Google Scholar 

  • Groves, R.M., and M.P. Couper. 1998. Nonresponse in household interview surveys. London: Wiley.

    Book  Google Scholar 

  • Herzog, A.R., and W.L. Rodgers. 1988. Age and response rates to interview sample surveys. Journal of Gerontology 43(6): S200–S205.

    Article  Google Scholar 

  • Herzog, A.R., W.L. Rodgers, and R.A. Kulka. 1983. Interviewing older adults: A comparison of telephone and face-to-face modalities. Public Opinion Quarterly 47(3): 405.

    Article  Google Scholar 

  • Hudson, D., L.-H. Seah, D. Hite, and T. Haab. 2004. Telephone presurveys, self-selection, and non-response bias to mail and internet surveys in economic research. Applied Economics Letters 11(4): 237–240.

    Article  Google Scholar 

  • Jacomb, P.A., A.F. Jorm, A.E. Korten, H. Christensen, and A.S. Henderson. 2002. Predictors of refusal to participate: A longitudinal health survey of the elderly in Australia. BMC Public Health 2(1): 4.

    Article  Google Scholar 

  • Lehingue, P. 2007. Subunda: coups de sonde dans l’océan des sondages. Broissieux (Bellecombe-en-Bauge).

  • McFadden, D., and Winter, J. 2001. Experimental analysis of survey response bias over the internet: Some results from the Retirement Perspectives Survey. Retrieved 18 June, 2009.

  • Murphy, J., M. Schwerin, J. Eyerman, and J. Kennet. 2008. Barriers to survey participation among older adults in the national survey on drug use and health: The importance of establishing trust. Survey Practice 1(2): 1.

    Article  Google Scholar 

  • Quinn, K. 2010. Methodological considerations in surveys of older adults: Technology matters. International Journal of Emerging Technologies and Society 8(2): 114.

    Google Scholar 

  • Redpath, B., and D. Elliot. 1988. National food survey: A second study of differential response, comparing census characteristics of nfs respondents and non-respondents; also a comparison of NFS and FSs response bias. Statistical News 80: 6–10.

    Google Scholar 

  • Rockwood, K., P. Stolee, D. Robertson, and E.R. Shillington. 1989. Response bias in a health status survey of elderly people. Age and Ageing 18(3): 177–182.

    Article  Google Scholar 

  • Rollenhagen, R.E. 1984. Age-related changing levels of voting turnout across time. The Gerontologist 24(2): 205–207.

    Article  Google Scholar 

  • Strayer, M., R. Kuthy, and S. Sutton. 1993. Elderly nonrespondents to a mail survey: A telephone follow-up. Special Care in Dentistry 13(6): 245–248.

    Article  Google Scholar 

  • Wolfinger, R.E., and S.J. Rosenstone. 1980. Who votes?. New Haven: Yale University Press.

    Google Scholar 

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Correspondence to Laura Michel.

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Dormagen, JY., Michel, L. Do surveys accurately report voters over 80 years old?. Fr Polit 16, 195–212 (2018). https://doi.org/10.1057/s41253-018-0056-y

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