Web Survey Bibliography
Title Predicting Breakoffs in Web Surveys
Author Mittereder, F.; West, B. T.
Year 2017
Access date 15.09.2017
Abstract Due to recent general shifts in survey data collection modes from mail to web, respondents who break off from a web survey prior to completing it have become a more prevalent problem in data collection. Given the (already) lower response rate in web surveys compared to more traditional modes, it is crucial to keep as many diverse respondents in the web survey as possible to prevent breakoff bias, maintaining high data quality and producing accurate survey estimates. As a first step of preventing and reducing breakoffs, this study aims to predict breakoff timing on a question level. We analyze data from an annual online survey on sustainability conducted by the Institute for Social Research at the University of Michigan. This study will make use of survey data, along with rich paradata and accessible administrative information from the sampling frame. In addition to well-known factors associated with breakoffs such as answering device (e.g. mobile vs. PC) we investigate previous response behavior like speeding and item nonresponse to predict breakoff probability for each respondent on a question level using logistic regression and survival analyses.
Access/Direct link Conference Homepage (abstract) / (presentation)
Year of publication2017
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (4086)
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- Comparability of web and telephone surveys for the measurement of subjective well-being; 2017; Sarracino, F.; Riillo, C. F. A.; Mikucka, M.
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- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
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- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
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- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
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- 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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- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.