Web Survey Bibliography
Due to its relatively low cost and flexibility, the internet has become an increasingly attractive platform for survey practitioners. Moreover, the increasing ubiquity of high-speed internet has quelled past concerns about undercoverage of certain populations. Internet access for lower SES populations is known to be disproportionately mobile and thus dependent on smartphone or tablet-friendly instruments for success. As the dependence on mobile devices for internet access correlated with SES status, we would expect a high degree of clustering in web responses by mobile as opposed to traditional desktop computing. At question is how geographic clustering or autocorrelation in web platform and access, specifically traditional computer plus broadband vs. smartphone or tablet with mobile connections, can influence response rate, and substantive data in a web study. If certain parts of the United States tended to respond using given platform correlated with different response rates, degrees of breakoff, or substantive data, there exists a risk of spatial bias. We analyze paradata and substantive responses from a web survey of health in Illinois to understand the geographic nature of the interaction between internet platform, operating system, screen-size, and response. Specifically, use geographic information systems (GIS), local indicators of spatial autocorrelation (LISA), and spatial-lag modeling to visualize and quantify any clustering and its potential impact on survey data and response. While previous research has shown no correlation between broad band access and response rates (Fiorio et al. 2013), the current poster provides an extension by examining the impact of device ownership, mobile internet access, and internet use frequency. Our research is valuable to designers of web surveys who depend on a combination of mobile and traditional computer users.
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.