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Response Error in a Web Survey and a Mailed Questionnaire: The Role of Cognitive Functioning

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Listed:
  • Martin Kroh
  • Denise Lüdtke
  • Sandra Düzel
  • Florin Winter

Abstract

Web-based interviewing is gradually replacing traditional modes of data collection, in particular telephone and mailed surveys. This global trend takes place despite the fact that established knowledge of its consequences on response error is incomplete. This paper studies differences between a web (CAWI) and a mailed version (MAIL) of a questionnaire in various forms of response error, namely item nonresponse, satisficing, person-reliability, and social desirable responding. We posit 1) that response error depends on respondents cognitive functioning, namely in the domains of global reading abilities, fluid intelligence, as well as working and episodic memory; and 2) that these effects differ across modes of data collection with generally higher prevalence in the CAWI mode since this mode is more demanding. The analysis builds on a randomized mode experiment implemented in the context of the Berlin Aging Study II (BASE-II), a survey that primarily focuses on multidimensional processes of physical and mental aging (see Bertram et al. 2014). The analysis reveals a high impact of cognitive functioning at the various stages of the survey response process. While we do found moderate mode-differences in response error, such as higher item nonresponse rates in the CAWI mode, we did not find cognitive functioning to be a better predictor of response error in web-based interviewing.

Suggested Citation

  • 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).
    • Handle: RePEc:diw:diwsop:diw_sp888
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    References listed on IDEAS

    as
    1. Kroh, Martin & Winter, Florin & Schupp, Jürgen, 2016. "Using Person-Fit Measures to Assess the Impact of Panel Conditioning on Reliability," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 80(4), pages 914-942.
    2. 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.
    3. Anke Böckenhoff & Denise Saßenroth & Martin Kroh & Thomas Siedler & Peter Eibich & Gert G. Wagner, 2013. "The Socio-Economic Module of the Berlin Aging Study II (SOEP-BASE): Description, Structure, and Questionnaire," SOEPpapers on Multidisciplinary Panel Data Research 568, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Denise Saßenroth & Martin Kroh & Gert G. Wagner, 2013. "Selectivity Processes in and Weights for the Berlin Aging Study II (BASE-II)," SOEPpapers on Multidisciplinary Panel Data Research 608, DIW Berlin, The German Socio-Economic Panel (SOEP).
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    1. Kiriaki M. Keramitsoglou & Katja Lozar Manfreda & Charalampia Anastasiou & Knut Kalgraff Skjak & Konstantinos P. Tsagarakis, 2018. "Mode comparison study on willingness to buy and willingness to pay for organic foods: paper-and-pencil versus computerized questionnaire," Electronic Commerce Research, Springer, vol. 18(3), pages 587-603, September.

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    Keywords

    Mixed-mode design; CAWI; cognitive functioning; response quality;
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