Web Survey Bibliography
Survey breakoff is less likely in online panels than in one-time web surveys – due, at least in part, to early panel attrition by less-committed panel respondents (see e.g., McCutcheon, Rao, and Kaminska, 2014) . Breakoff in online panels, however, remains problematic, and may serve as a prelude to panel attrition. Interest in breakoff involving internet survey respondents has been accelerated by the relatively recent availability of paradata collection methods for web surveys (Peytchev 2009). In addition to respondent and survey design characteristics, it is now relatively easy to obtain data such as the amount of time taken per survey item (response latency), number of response changes, time of day that survey breakoff occurs, and other factors that may contributors to survey breakoff. Internet panels offer the additional advantage of accumulated information regarding respondent characteristics. This study examines data from 18 waves of the Internet component of the Gallup Panel, a multi-mode, probability panel of American households. In addition to demographic characteristics and survey design factors (e.g., question complexity, topic, number of questions, grid patterns, survey length), the analysis will include self-reports on Internet usage and computer sophistication, paradata and, especially, device type to explore factors related to survey breakoff. Preliminary analysis indicates that while long-term panel members are less likely to breakoff, past behavior and respondent-reported computer usage are important predictors – those who have broken off in the past appear, and those who report less computer usage, appear to be more likely to breakoff again. The study will consider the potential use of predictive models for survey breakoff in developing possible adaptive design (Groves and Heeringa 2006) interventions for Internet surveys that may prove useful in delaying survey breakoff.
Web survey bibliography (4086)
- Facebook as a Tool for Respondent Tracing; 2015; Schneider, S. J., Burke-Garcia, A., Thomas, G.
- Social Science Survey Methodology Training: Understanding the Past and Assessing the Present to Shape...; 2015; Jans, M., Meyers, M., Fricker, S.
- Internet Research in Psychology; 2015; Gosling, S. D., Mason, W.
- Handbook of Health Survey Methods; 2015; Johnson, T. P. (Ed.)
- Adapting an interviewer - administered survey for web self - completion in a mixed - mode design ; 2015; Betts, P.; Cubbon, B.
- Future Training of Survey Methodologists; 2015; Kolenikov, S., Jans, M., O'Hare, B. C., Fricker, S.
- Automatic data collection on the Internet (web scraping); 2015; Boettcher, I.
- The Impact of Survey Mode (Mail versus Telephone) and Asking About Future Intentions; 2015; Beebe, T. J.
- Offline recruiting of young people for an online survey - what affects response rates; 2015; Zeglovits, E.
- Finding Item Nonresponse Patterns: Three Internet Survey Experiments Into the Effects of Nonresponse...; 2015; Van De Maat, J.
- Placement of the Linkage Consent Question in a Web Survey of Establishments; 2015; Sakshaug, J. W.; Vicari, B.
- The effectiveness of incentives on recruitment and retention rates: an experiment in a web survey; 2015; Mulder, J.; Douhou, S.
- Using WhatsApp as a Survey Tool; 2015; Ongena, Y. P.; Haan, M.
- The Effects of Adding a Mobile-Compatible Design to the American Life Panel; 2015; Toepoel, V.; Lugtig, P. J.; Amin, A.
- Technology and Reporting of Daily Activities – Considerations for Analysis of Behaviours in Mixed...; 2015; Fisher, K.; Gershuny, J.
- Does the Use of Mobile Devices (Tablets and Smartphones) Affect Survey Quality and Choice Behaviour...; 2015; Glenk, K.; Liebe, U.; Oehlmann, M.
- Smartphones @work; 2015; Bittman, M.
- Measurement Error in Discontinuous Online Survey Panels: Panel Conditioning and Data Quality; 2015; Atkeson, L. R.; Adams, A. N.; Karp, J. A.
- Cheating in web surveys. Evidence from a split-ballot repeated experiment on knowledge questions on...; 2015; Ladini, R.; Vezzoni, C.
- Does Personalized Feedback Increase Respondent Motivation?; 2015; Kroh, M.; Kuhne, S.
- Adapting Grid Questions for Mobile Devices; 2015; de Bruijne, M.; Das, M.; van Soest, A.; Wijnant, A.
- Unplanned use of mobile devices in a probabilistic online panel survey: Patterns of use and implications...; 2015; Poggio, T.; Bosnjak, M.; Bandilla, W.; Weyandt, K.
- The importance of scale direction between different modes; 2015; Agalioti-sgompou, V.
- Impact of response scale direction on survey responses in web and mobile web surveys; 2015; Yan, T.; Keusch, F.
- Comparing response order experiments with probability and non-probability samples; 2015; Yeager, D. S.; Krosnick, J. A.; Silber, H.
- Direction of Response Format in Web and Paper & Pencil Surveys; 2015
- Comparison of different mixed-mode and face - to face surveys - response rates and costs; 2015; Ainsaar, M.; Hendrikson, R.
- Nonresponse and Measurement Bias in Web surveys ; 2015; Metzler, A.; Fuchs, M.
- Correlates of early and late responses to surveys in an online panel; 2015; Douhou, S.; Vis, C.
- Higher Item Nonresponse Rates Caused by Slider Scales in Web Surveys; 2015; Toepoel, V.; Funke, F.
- The effect of response formats on data quality and comparability across online PC and smartphone surveys...; 2015; Cleary, A.; Allum, N.; Kolbas, V.
- Mobile devices in a web panel: what are the results of adjusting questionnaires for smartphones and...; 2015; de Bruijne, M.; Wijnant, A.
- Online Eye-Tracking of Dynamic Advertising Content in (Mobile) Web-Surveys; 2015; Berger, S.
- Deep impact or no impact, evaluating opportunities for a new question type: Statement allocation on...; 2015; Schmidt, S.
- Approaches for Evaluating Online Survey Response Quality; 2015; Gluck, N.
- Coding Surveys on their Item Characteristics: Reliability Diagnostics; 2015; Bais, F.; Schouten, B.; Toepoel, V.
- Predicting Response Times in Web Surveys; 2015; Wenz, A.
- Positioning of Clarification Features in Open Frequency and Open Narrative Questions; 2015; Fuchs, M.; Metzler, A.
- The Role of Device Type and Respondent Characteristics in Internet Panel Survey Breakoff; 2015; McCutcheon, A. L.
- Web Survey Invitations: Design Features to Improve Response Rates; 2015; Hughes, J.; Marlar, J.
- Advance Postcard Mailing Improves Web Panel Survey Participation; 2015; Bertoni, N.; Burkey, A.; Caldaro, M.; Keeter, S.; DiSogra, C.; McGeeney, K.
- Mobile Devices for the Collection of Sensitive Information; 2015; Maitland, A.; Mercer, A. W.; Tourangeau, K.; Williams, Do.
- What Is The Impact of Smartphone Optimization on Long Surveys?; 2015; Cole, J.; Brooks, K.; Sarraf, S.
- Examining the Impact of Mobile First and Responsive Web Design on Desktop and Mobile Respondents; 2015; Tharp, D.
- Can An Importance Prompt Reduce Item Nonresponse For Demographic Items Across Web and Mail Modes?; 2015; Israel, G. D.
- Leveraging Area Probability Sampling in Recruiting Households for Web Surveys; 2015; Copeland, K.; Pedlow, K.; Tupek, A.
- Reducing Coverage Error in a Web Survey of College Students; 2015; Daley, K.; Pacer, J.
- Influences on Response Latency in a Web Survey; 2015; Ackermann, A.; Cheng, H. W.; Howard Ecklund, E.; Kolenikov, S.; Phillips, B. T.
- App vs. Web for Surveys of Smartphone Users; 2015; Igielnik, R.; McGeeney, K.
- Where Does the Platform Matter: The Impact of Geographic Clustering in Device Ownership and Internet...; 2015; Bilgen, I.; English, N.; Stern, M. J.; Ventura, I.