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Personalized Feedback in Web Surveys: Does it Affect Respondents' Motivation and Data Quality?

Referierte Aufsätze Web of Science

Simon Kühne, Martin Kroh

In: Social Science Computer Review 36 (2018), 6, S. 744-755

Abstract

Web surveys technically allow providing feedback to the respondents based on their previous responses. This personalized feedback may increase 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 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 only moderate differences in response behavior between experimental and control groups. However, we find that respondents who received personalized feedback report higher levels of satisfaction with the survey.



Keywords: personalized feedback, web surveys, online surveys, measurement error, survey satisfaction, Big Five Personality Inventory
DOI:
http://dx.doi.org/10.1177/0894439316673604

Frei zugängliche Version: (econstor)
http://hdl.handle.net/10419/215792

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