Web Survey Bibliography
The rapidly changing technological landscape of the United States has important implications for survey researchers. The challenges are well known for outbound telephone surveys, but to a lesser degree for Web-based surveys. According to estimates by the Pew Internet and American Life project, 55% of cellphone owners access the Internet via their phone, and for many Americans a cellular device is their only Internet connection. Mobile devices provide instant connectivity, allowing respondents to take surveys at any time of day, no matter where they are located, which is an exciting prospect. However, very little research exists to date about surveys completed via smartphones and other mobile devices. It is unknown if surveys designed to be compatible with mobile Web browsers increase response rates, or if respondents who respond via a mobile browser are demographically different than desktop respondents. Further, it is unknown if best practices for the design of desktop based Web surveys translate to mobile based surveys. The present study was conducted using the Gallup Panel, a probability based panel of over 50,000 members who complete studies via the Web, mail, or telephone. Panel members were randomly assigned to one of 12 treatment groups that compare three different modes (traditional Web only, traditional Web plus mobile browser compatible and outbound), two treatment for length, and two treatments for question layout. Closed and open-ended questions were tested. Paradata, such as user agent string, time per survey, breakoffs, and answer changes, were also recorded as part of the study. The results will be analyzed to better understand how mobile compatible surveys affect response rates, the representativeness of the sample, and data quality. The authors will draw conclusions about the costs and benefits of mobile compatible surveys, and make suggestions for best practices.
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Web survey bibliography - Mobile phone surveys (305)
- Australia: building a 21st century readership survey; 2013; Green, A., White, H.
- The new swiss national readership survey: fit for the future ; 2013; Amschler, H., Hoffmann, J.
- Recruitment strategies of methamphetamine-using men who have sex with men into an online survey; 2013; Wilkerson, J. M., Shenk, J. E., Grey, J. A., Rosser, B. R. S., Noor, S. W.
- Developing A Web-Smartphone-Telephone Questionnaire ; 2013; Boreham, R., Wijnant, A.
- Measuring Compliance in Mobile Longitudinal Repeated-Measures Design Study; 2013; Link, M. W.
- Using smartphones in survey research: a multifunctional tool Implementation of a time use app; a feasability...; 2013; Sonck, N., Fernee, H.
- Online, face-to-face and telephone surveys—Comparing different sampling methods in wine consumer...; 2013; Szolnoki, G., Hoffmann, D.
- Is everyone able to use a smartphone in survey research?; 2013; Fernee, H., Sonck, N.
- When to and When Not to Conduct a Web Survey; 2013; Barna, A.
- Internet as a new source of information for the production of official statistics. Experiences of Statistics...; 2013; Heerschap, N.
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- Why respondents suffer if you're not mobile-ready; 2013; Knapton, K.
- 4 ways mobile research challenges insights pros; 2013; Rajan, B.
- How to make your questionnaire mobile-ready; 2013; Cape, P. J.
- Leveraging mobile and online qualitative to get inside shoppers’ heads; 2013; Bryson, J., Ritzo, J.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Thoughts on using the new online qualitative tools; 2013; Freund, N. M.
- Use of mobile devices to answer online surveys: implications for research; 2013; Cunningham, J. A., Neighbors, C., Bertholet, N., Hendershot, C. S.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Multimode, Global Scale Usage: Understanding respondent scale usage across borders and devices; 2013; Pettit, F. A., Courtright, M.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Insights into Action Profiling shopping occasions for retailers through mobile and online research; 2013; Churkina, O., Morris, T.
- Mobilizing your Branded Panel: Panel data quality during the smartphone transition; 2013; Kugel, C., Brien, D., Blechman, J.
- The Technology Behind Mobile Research: Browsers vs. Apps ; 2013; Macer, T.
- Random versus Systematic Error in a Mixed Mode Online-Telephone Survey; 2013; Hox, J., Scherpenzeel, A., Boeve, A., Boeve, A., de Leeuw, E. D.
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Mobile Browser Web Surveys: Testing Response Rates, Data Quality and Best Practices; 2013; McGeeney, K., Marlar, J.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.
- Innovative Retention Methods in Panel Research: Can SmartPhones Improve Long-Term Panel Participation...; 2013; Dayton, J. J., Dyer, A.
- Grid Formats, Data Quality, and Mobile Device Use: A Questionnaire Design Approach; 2013; McClain, C., Crawford, S. D.
- Examining the Feasibility of SMS as a Contact Mode for a College Student Survey; 2013; Crawford, S. D., McClain, C., O'Brien, S., Nelson, T. F.
- Use of Smart Phones/Text Messaging to Increase Response Rates; 2013; DuBray, P.
- Designing Surveys for Tablets and Smartphones; 2013; Lakhe, S., Nichols, E. M., Olmsted, M. G., King, T.
- Tablets and Smartphones and Netbooks, Oh My! Effects of Device Type on Respondent Behavior; 2013; Ross, H., Mendelson, J., Lackey, M.
- The smart(phone) way to collect survey data; 2013; Stapleton, C.
- Survey quality prediction system 2.0; 2013
- Data Quality in PC and Mobile Web Surveys; 2013; Mavletova, A. M.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Cyborgs vs. Monsters: Assembling Modular Surveys to Create Complete Datasets; 2013; Johnson, E. P., Siluk, L., Tarraf, S.
- Sensitive Topics in PC and Mobile Web Surveys; 2013; Mavletova, A. M., Couper, M. P.
- Mobile Research Performance: How Mobile Respondents Differ from PC Users Concerning Interview Quality...; 2013; Schmidt, S., Wenzel, O.
- Influence of mobile devices in online surveys; 2013; Maxl, E., Baumgartner, T.
- HTML5 and mobile Web surveys: A Web experiment on new input types; 2013; Funke, F.
- Surveys on Mobile Devices: Opportunities and Challenges; 2013; Couper, M. P.
- The who, when, where and how of Smartphone research; 2012; Fine, B., Menictas, C.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference? (presentation); 2012; Mavletova, A. M., Couper, M. P.