Web Survey Bibliography
Title Effect of a Pre-Paid Incentive on Response Rates to an Address-Based Sampling (ABS) Web-Mail Survey
Source Survey Practice; 9, 4, pp. 1-7
Year 2016
Access date 14.07.2017
Abstract The effects of incentives on response rates, web completion rates, and demographic and socioeconomic characteristics were investigated in a randomized experiment for a general population economic attitude survey. The experiment was conducted in two groups: (1) fresh cases from address-based sampling (ABS) postal addresses and (2) recontact cases that were interviewed six months ago. The prepaid cash incentive condition was crossed with a set of Web-Mail survey contact strategies. While the fresh cases were contacted by Web-Mail concurrent or web-intensive contact strategies, the recontact cases were contacted by mail, concurrent or web-intensive contact strategies. Overall findings showed that incentives increased average response propensity without changing the covariance component of the nonresponse bias given the comparisons on a set of demographic and socioeconomic characteristics by the incentive condition. While the prepaid cash incentives significantly increased the web completion rates in the web intensive contact strategy for the fresh sample, they had a reversed effect in the concurrent strategy for the recontact sample.
Access/Direct link Journal Homepage (abstarct) / (full text)
Year of publication2016
Bibliographic typeJournal article
Web survey bibliography (4086)
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- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
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- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
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- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
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- Is There a Future for Surveys; 2017; Miller, P. V.
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- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
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- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.