Web Survey Bibliography
The most important part of a web survey is arguably the email invitation. The invitation sets the stage for the rest of the survey, and allows the respondent to judge the costs and benefits of participation. The content of the invitation can also determine if the invitation gets delivered or blocked by email providers, and whether it lands in the recipient’s inbox or spam folder. As web surveys increase in popularity but continue to have the lowest response rates of all modes, it is important to understand how the features of the email invitation impact non-response. Many features of the web invitation have been tested in past studies, such as subject line, personalization, contact and confidentiality information, topic, sponsorship, frequency of contact, incentives, and URL links. However, results have been mixed, and many studies were conducted in academic settings with unknown applicability to general population settings. Further, many studies have tested one feature versus another, but have not tested the combination of multiple features of the email invitation. The present study expands on the current body of knowledge by simultaneously testing multiple features of the survey invitation. These features include subject line, incentive, HTML versus plain text, sponsorship, personalization, and frequency of contact. The invitations were sent for two different types of general population studies. The first is the Gallup Panel, a probability- based panel of 55,000 members who receive survey invitations on a regular basis. The other is a customer satisfaction survey, in which respondents have a customer relationship with a business but are not expecting a survey invitation. The findings will include results on bounce backs, SPAM flags and spamminess scores, open rates, click through rates, and final response rates. Recommendations are also made for features that improve deliverability, open-rates, click through rates, and ultimately response rates.
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.