This paper reports on the link between a well-defined measure of response burden and response rates among all (uncommitted) and pre-recruited respondents. We show within the limits of our sample of 68 survey waves (including pre-tests; resulting from 35 studies) that the response burden impact is mediated by the level of the commitment of the respondents and the presence of a monetary incentive. This is the first time that a research group provides a response rate forecasting model for its own work and for others to adopt, test and adapt.

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https://doaj.org/toc/2652-0397 under the license cc-by-nc

DOIS: 10.3929/ethz-b-000337874 10.32866/7827 10.3929/ethz-b-000401257

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Published on 01/01/2019

Volume 2019, 2019
DOI: 10.3929/ethz-b-000337874
Licence: Other

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