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Population survey features and response rates: A randomized experiment

Author

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  • Guo, Y.
  • Kopec, J.A.
  • Cibere, J.
  • Li, L.C.
  • Goldsmith, C.H.

Abstract

Objectives. To study the effects of several survey features on response rates in a general population health survey. Methods. In 2012 and 2013, 8000 households in British Columbia, Canada, were randomly allocated to 1 of 7 survey variants, each containing a different combination of survey features. Features compared included administration modes (paper vs online), prepaid incentive ($2 coin vs none), lottery incentive (instant vs end-of-study), questionnaire length (10minutes vs 30minutes), and sampling frame (InfoCanada vs Canada Post). Results. The overall response rate across the 7 groups was 27.9% (range = 17.1-43.4). All survey features except the sampling frame were associated with statistically significant differences in response rates. The survey mode elicited the largest effect on the odds of response (odds ratio [OR] = 2.04; 95% confidence interval [CI] = 1.61, 2.59), whereas the sampling frame showed the least effect (OR = 1.14; 95% CI = 0.98, 1.34).The highest response was achieved by mailing a short paper survey with a prepaid incentive. Conclusions. In a mailed general population health survey in Canada, a 40% to 50% response rate can be expected. Questionnaire administration mode, survey length, and type of incentive affect response rates. © 2013 American Public Health Association.

Suggested Citation

  • Guo, Y. & Kopec, J.A. & Cibere, J. & Li, L.C. & Goldsmith, C.H., 2016. "Population survey features and response rates: A randomized experiment," American Journal of Public Health, American Public Health Association, vol. 106(8), pages 1422-1426.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2016.303198_7
    DOI: 10.2105/AJPH.2016.303198
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    Cited by:

    1. Packiaraj Thangavel & Pramod Pathak & Bibhas Chandra, 2022. "Consumer Decision-making Style of Gen Z: A Generational Cohort Analysis," Global Business Review, International Management Institute, vol. 23(3), pages 710-728, June.
    2. Kai Ludwigs & Richard Lucas & Ruut Veenhoven & David Richter & Lidia Arends, 2020. "Can Happiness Apps Generate Nationally Representative Datasets? - a Case Study Collecting Data on People’s Happiness Using the German Socio-Economic Panel," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(4), pages 1135-1149, September.
    3. Sherly Parackal & Mathew Parackal & John Harraway, 2019. "Associated Factors of Drinking Prior to Recognising Pregnancy and Risky Drinking among New Zealand Women Aged 18 to 35 Years," IJERPH, MDPI, vol. 16(10), pages 1-16, May.
    4. Brian Pickering & Timea Biro & Claire Austin & Alexander Bernier & Louise Bezuidenhout & Carlos Casorrán & Francis Crawley & Romain David & Claudia Engelhardt & Geta Mitrea & Ingvill Constanze Mochman, 2021. "Radical collaboration during a global health emergency: development of the RDA COVID-19 data sharing recommendations and guidelines," Post-Print hal-03663823, HAL.
    5. Knut Stavem & Waleed Ghanima & Magnus K. Olsen & Hanne M. Gilboe & Gunnar Einvik, 2021. "Prevalence and Determinants of Fatigue after COVID-19 in Non-Hospitalized Subjects: A Population-Based Study," IJERPH, MDPI, vol. 18(4), pages 1-11, February.
    6. Barbara Ryan & Rachel King, 2020. "How ready is ready? Measuring physical preparedness for severe storms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 171-199, October.
    7. Jan Hyld Pejtersen, 2020. "The effect of monetary incentive on survey response for vulnerable children and youths: A randomized controlled trial," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-12, May.
    8. Hadia Radwan & Mahra Al Kitbi & Hayder Hasan & Marwa Al Hilali & Nada Abbas & Rena Hamadeh & Eman Rashid Saif & Farah Naja, 2021. "Indirect Health Effects of COVID-19: Unhealthy Lifestyle Behaviors during the Lockdown in the United Arab Emirates," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    9. Glen J. Nowak & Michael A. Cacciatore & María E. Len-Ríos, 2018. "Understanding and Increasing Influenza Vaccination Acceptance: Insights from a 2016 National Survey of U.S. Adults," IJERPH, MDPI, vol. 15(4), pages 1-19, April.

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