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Using Personalized Feedback to Increase Data Quality and Respondents' Motivation in Web Surveys?

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  • Simon Kühne
  • Martin Kroh

Abstract

*****Volltextdokument auf Wunsch der Autoren gelöscht***** Web surveys technically allow providing feedback to respondents based on their previous responses. This personalized feedback may not only beused to target follow-up questions, it also allows test results to be returned immediately to respondents. This paper argues that the possibility of learning something about themselves increases respondents’ motivation and possibly the accuracy of responses. While past studies mainly concentrate on the effects of providing study results on future response rates, thus far survey research lacks of theoretical and empirical contributions on the effects of personalized, immediate, feedback on response behavior. To test this, we implemented a randomized trial in the context of the Berlin Aging Study II (BASE-II) in 2014, providing feedback regarding the respondents’ personality tests (Big-Five personality inventory) to a subgroup of the sample. Results show moderate differences in response behavior between experimental and control group (item nonresponse, response styles, internal consistency, socially desirable responding, corrective answers, and response times). In addition, we find that respondents of the experimental group report higher levels of satisfaction with the survey.

Suggested Citation

  • Simon Kühne & Martin Kroh, 2016. "Using Personalized Feedback to Increase Data Quality and Respondents' Motivation in Web Surveys?," SOEPpapers on Multidisciplinary Panel Data Research 855, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp855
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    References listed on IDEAS

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    1. 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).
    2. 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.
    3. Ivar Krumpal, 2013. "Determinants of social desirability bias in sensitive surveys: a literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2025-2047, June.
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    More about this item

    Keywords

    Personalized Feedback; Web Surveys; Online Surveys; Incentives; Respondent Motivation; Measurement Error; Survey Satisfaction; Big Five Personality Traits;
    All these keywords.

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