IDEAS home Printed from https://ideas.repec.org/p/lmu/muenar/20093.html
   My bibliography  Save this paper

Noncoverage and nonresponse in an Internet survey

Author

Listed:
  • Couper, Mick P.
  • Kapteyn, Arie
  • Schonlau, Matthias
  • Winter, Joachim

Abstract

We explore the correlates of noncoverage and nonresponse in an Internet survey conducted as part of the Health and Retirement Study (HRS), a panel study of persons 50 years old and older in the US. About 30\% of HRS respondents indicated they used the Internet. Of these, 73\% expressed willingness to do a Web survey. A subset of this group was subsequently sent a mailed invitation to participate in a Web survey and 78\% completed the survey. Using multivariate models, we find significant demographic, financial, and health-related differences in access, consistent with other research. There are fewer differences in willingness (given access) and response (given willingness). However, disparities in health and socio-economic status persist after controlling for demographic differences in coverage and response. Weighting on demographics alone is thus unlikely to yield a representative sample in such surveys. Noncoverage (lack of access to the Internet) appears to be of greater concern than nonresponse (unwillingness to participate given access) for representation in Internet surveys of this age group.

Suggested Citation

  • Couper, Mick P. & Kapteyn, Arie & Schonlau, Matthias & Winter, Joachim, 2007. "Noncoverage and nonresponse in an Internet survey," Munich Reprints in Economics 20093, University of Munich, Department of Economics.
    • Handle: RePEc:lmu:muenar:20093
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Milan Scasny & Milan Scasny & Iva Zverinova & Mikolaj Czajkowski, 2015. "Individual preference for the alternative fuel vehicles and their attributes in Poland," EcoMod2015 8575, EcoMod.
    2. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    3. Grewenig, Elisabeth & Lergetporer, Philipp & Simon, Lisa & Werner, Katharina & Woessmann, Ludger, 2018. "Can Online Surveys Represent the Entire Population?," IZA Discussion Papers 11799, Institute of Labor Economics (IZA).
    4. Martin Kroh & Denise Lüdtke & Sandra Düzel & Florin Winter, 2016. "Response Error in a Web Survey and a Mailed Questionnaire: The Role of Cognitive Functioning," SOEPpapers on Multidisciplinary Panel Data Research 888, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Haan Marieke & Ongena Yfke P. & Aarts Kees, 2014. "Reaching Hard-to-Survey Populations: Mode Choice and Mode Preference," Journal of Official Statistics, Sciendo, vol. 30(2), pages 1-25, June.
    6. Arthur van Soest & Arie Kapteyn, 2009. "Mode and Context Effects in Measuring Household Assets," Working Papers 200949, Geary Institute, University College Dublin.
    7. Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    8. Matthias Schonlau & Arthur van Soest & Arie Kapteyn & Mick Couper, 2009. "Selection Bias in Web Surveys and the Use of Propensity Scores," Sociological Methods & Research, , vol. 37(3), pages 291-318, February.
    9. Stefano Visintin & Kea Tijdens & Stephanie Steinmetz & Pablo de Pedraza, 2015. "Task implementation heterogeneity and wage dispersion," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-24, December.
    10. Joanne W. Hsu & Brooke H. McFall, 2015. "Mode effects in mixed-mode economic surveys: Insights from a randomized experiment," Finance and Economics Discussion Series 2015-8, Board of Governors of the Federal Reserve System (U.S.).
    11. Axsen, Jonn & Bailey, Joseph & Castro, Marisol Andrea, 2015. "Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers," Energy Economics, Elsevier, vol. 50(C), pages 190-201.
    12. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Institute of Transportation Studies, Working Paper Series qt02n9j6cv, Institute of Transportation Studies, UC Davis.
    13. Hung, Kam & Law, Rob, 2011. "An overview of Internet-based surveys in hospitality and tourism journals," Tourism Management, Elsevier, vol. 32(4), pages 717-724.
    14. repec:aia:aiaswp:wp76 is not listed on IDEAS
    15. Brezovec, Erik, 2018. "Higher Education and the Concurrence of the Students on the Future Labour Market," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2018), Split, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Split, Croatia, 6-8 September 2018, pages 149-159, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    16. Joachim Winter & Amelie Wuppermann, 2014. "Do They Know What Is At Risk? Health Risk Perception Among The Obese," Health Economics, John Wiley & Sons, Ltd., vol. 23(5), pages 564-585, May.
    17. Mohorko Anja & Leeuw Edith de & Hox Joop, 2013. "Internet Coverage and Coverage Bias in Europe: Developments Across Countries and Over Time," Journal of Official Statistics, Sciendo, vol. 29(4), pages 609-622, December.
    18. Mick P. Couper & Eleanor Singer & Carrie A. Levin & Floyd J. Fowler Jr. & Angela Fagerlin & Brian J. Zikmund-Fisher, 2010. "Use of the Internet and Ratings of Information Sources for Medical Decisions: Results from the DECISIONS Survey," Medical Decision Making, , vol. 30(5_suppl), pages 106-114, September.
    19. Arthur van Soest & Arie Kapteyn, 2009. "Mode and Context Effects in Measuring Household Assets," Working Papers 200949, Geary Institute, University College Dublin.
    20. Grewenig, Elisabeth & Lergetporer, Philipp & Simon, Lisa & Werner, Katharina & Woessmann, Ludger, 2023. "Can internet surveys represent the entire population? A practitioners’ analysis," European Journal of Political Economy, Elsevier, vol. 78(C).
    21. Beth Chaney & Adam Barry & J. Chaney & Michael Stellefson & Monica Webb, 2013. "Using screen video capture software to aide and inform cognitive interviewing," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2529-2537, August.
    22. Murray Rudd, 2011. "An Exploratory Analysis of Societal Preferences for Research-Driven Quality of Life Improvements in Canada," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(1), pages 127-153, March.
    23. Xinyi Wang & F. Atiyya Shaw & Patricia L. Mokhtarian & Kari E. Watkins, 2023. "Response willingness in consecutive travel surveys: an investigation based on the National Household Travel Survey using a sample selection model," Transportation, Springer, vol. 50(6), pages 2339-2373, December.
    24. Richard, James E. & Purnell, Fruen, 2017. "Rethinking Catalogue and Online B2B Buyer Channel Preferences in the Education Supplies Market," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 1-15.
    25. Sebastian Kocar & Nicholas Biddle, 2023. "The power of online panel paradata to predict unit nonresponse and voluntary attrition in a longitudinal design," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1055-1078, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lmu:muenar:20093. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tamilla Benkelberg (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.