Web Survey Bibliography
Title Predicting and Preventing Break-Offs in Web Surveys
Author Mittereder, F.
Year 2016
Access date 18.07.2017
Abstract Due to the shift in survey data collection from mail to web surveys, breaking off prior to the end of a survey becomes a more prevalent problem on web. Given the lower response rate in web surveys, it is crucial to keep as many and as diverse respondents as we possibly can to maintain a high data quality standard and thus accurate survey estimates. As a first step of preventing and reducing break-offs, this study aims to predict the exact break-off timing in an online German labor force survey, which was conducted by the Institute for Employment Research (IAB), Research Institute of the Federal Employment Agency, Nuernberg, Germany. This study will make use of the survey data, along with the rich paradata and accessible administrative information from the sampling frame to investigate the factors that associated with breakoffs using logit modeling and survival analyses approach.
Access/Direct link Conference Homepage (abstract) / (full text)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Joint Statistical Meetings 2016 (13)
- Development and Pilot Test of a Mobile Application for Field Data Collection; 2016; Chiappetta, L.; Kerr, M. M.
- Statistical Design for Online Experiments Across Desktops, Tablets, Smartphones (and Maybe Wearable...; 2016; Qian, P.; Sadeghi, S.; Arora, N. K.
- A Case Study on the Use of Propensity Score Adjustments with Web Survey Data; 2016; Parsons, V.
- Motivated Misreporting in Web Panels; 2016; Bach, R.; Eckman, S.
- Are Initial Respondents Different from the Nonresponse Follow-Up Cases? A Study of Probability-Based...; 2016; Zeng, W.; Dennis, J. M.
- Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys; 2016; Beresovsky, V.; Dorfman, A.; Rumcheva, P.
- Predicting and Preventing Break-Offs in Web Surveys; 2016; Mittereder, F.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Exploration of Methods for Blending Unconventional Samples with Traditional Probability Samples; 2016; Gellar, J.; Zhou, H.; D.; Sinclair, M. D.
- Ratio of Vector Lengths as an Indicator of Sample Representativeness ; 2016; Shin, H. C.
- Design of Sample Surveys That Complement Observational Data to Achieve Population Coverage; 2016; Slud, E.; Ashmead, R.
- Inferences from Internet Panel Studies and Comparisons with Probability Samples; 2016; Lachan, R.; Boyle, J.; Harding, R.
- Exploring the Gig Economy Using a Web-Based Survey: Measuring the Online 'and' Offline Side...; 2016; Robles, B. J.; McGee, M.