Web Survey Bibliography
Inclusion of cell phone respondents in RDD telephone surveys is becoming standard practice in order to
reduce coverage bias due to cell phone-only households. Survey methodologists are still attempting to
characterize differences between respondents reached via traditional landlines versus cell phones, and
have begun to explore more detailed “telephone status” or usage groups (wireless-only, wireless mostly,
dual users, landline mostly, landline only). While there are well-known demographic and health-related
differences between, for example, cell-phone only households and those with landlines, little is known
about telephone status differences in attitudes towards surveys, response mode preferences, or
likelihood of future survey participation. This paper uses data from two overlapping dual frame RDD
surveys in the Pittsburgh (PA) metro area that used standard questions (NHIS; Pew Center) for
determining telephone status. The first survey (n=795) compares wireless-only (n=138), wireless-mostly
(264), dual-users (147), landline-mostly (174), and landline-only (69) respondents on: (1) likelihood of
participation in future cell phone surveys; (2) longest future survey (in minutes) they would be willing to do
on a cell phone/mobile device; (3) response mode preference in future surveys (general and healthrelated/
sensitive topics) for [a] landline phone, [b] cell phone, [c] web survey on PC, or [d] selfadministered
survey on cell phone/mobile device. The second survey (n=2,126) compares the same
groups (192 WO; 322 WM, 757 DU; 548 LM, 307 LO) on willingness to join a local survey research panel,
and provide contact information including address and e-mail, and detailed demographic information
(n=814, 38.2% of total sample agreed). All comparative analyses are conducted with and without
statistical control of demographic variables. Results from this study will add to the literature on profiles of
respondents of differing telephone use status reachable by cell and landline phone, and may have
implications for the planning and design of mixed-mode surveys.
Conference Homepage (abstract)
Web survey bibliography (81)
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- Mobile Device Use in Web Surveys Among College Students: Predictors and Consequences for Data Quality...; 2016; Beach, S.; Musa, D.; Strotmeyer, S.; Schlarb, J.
- Web surveys for offline rural communities ; 2016; Gichohi, B. W.
- An experiment comparing grids and item-by-item formats in web surveys completed through PCs and smartphones...; 2016; Revilla, M.; Toninelli, D.; Ochoa, C.
- Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey:...; 2016; Dal Grande, E.; Chittleborough, C. R.; Campostrini, S.; Dollard, M.; Taylor, A. W.
- When Should I Call You? An Analysis of Differences in Demographics and Responses According to Respondents...; 2016; Vicente, P.; Lopes, I.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- Mobile Research Methods: Opportunities and challenges of mobile research methodologies. ; 2015; Toninelli, D. (Ed.); Pinter, R.; de Pedraza, P.
- Collecting Health Research Data - Comparing Mobile Phone-assisted Personal Interviewing to Paper-and...; 2015; van Heerden, A. C.; Norris, S. A.; Tollman, S. M.; Richter, L. M.
- The Effects of Questionnaire Completion Using Mobile Devices on Data Quality. Evidence from a Probability...; 2015; Bosnjak, M.; Struminskaya, B.; Weyandt, K.
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Mobility Enabled: Effects of Mobile Devices on Survey Response and Substantive Measures; 2015; Barlas, F. M.; Randall, T. K.
- Innovations in Email Invitation Design for Today’s Digital World; 2015; Saunders, T.; Kessler, A.
- Emerging Technologies: The Rise of Mobile Devices: From Smartphones to Smart Surveys; 2015; Buskirk, T. D.
- Open narrative questions in PC and smartphones: is the device playing a role?; 2015; Revilla, M.; Ochoa, C.
- Mixed-method feasibility study comparing the outpatient assessment of burn patients using a tablet device...; 2015; Mitchell, S. S.
- Mobile Devices for the Collection of Sensitive Information; 2015; Maitland, A.; Mercer, A. W.; Tourangeau, K.; Williams, Do.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- Global market research 2013; 2013
- 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.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- Is the Sky Falling? New Technology, Changing Media, and the Future of Surveys; 2013; Couper, M. P.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.
- Mobility and Smartphones: a pilot study of travel data collection among experienced and inexperienced...; 2013; Douhou, S., Scherpenzeel, A.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- Mode effects in Labour Force Surveys - do they really matter?; 2013; Koerner, T.
- Comparison of quality of web survey and CATI data using unobtrusive response latencies; 2013; Mayerl, J.
- Comparability of substantive results between modes and incentive conditions in a probability-based telephone...; 2013; Pekari, N.
- Data Collection Method Comparisons for the 2011 Fishing, Hunting, and Wildlife-Associated Recreation...; 2013; Herbstritt, M., Hornick, D.
- The comparability of Don't Know answers between CATI and CAWI modes; 2013; Pohjanpaa, K., Jarvensivu, M.
- Measuring the same concepts in several modes in the "BIBB/BAuA-Employee-Survey 2011/12" ; 2013; Gensicke, M., Tschersich, N., Hartmann, J.
- Error Prevention through Interviewer Emulation? Introducing questionnaire dialogues in the Norwegian...; 2013; Gravem, D. F.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.
- Cross-Platform Measurement: User Experience With a Smartphone and Web Self- Reported Data Collection...; 2013; Petras, A. P., Duan, S., Dan, O.
- 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.
- Surveys on Mobile Devices: Opportunities and Challenges; 2013; Couper, M. P.
- Benefits of Modular Design for Mobile and Online Surveys; 2012; Kelly, F., Johnson, A., Stevens, S.
- Unintentional mobile respondents; 2012; Peterson, G.
- Understanding Mode Effects between Mobile Web and Mobile SMS Surveys; 2012; Poduska, B., Johnson, E. P.
- Measures of Data Quality Across the RDD Frames; 2012; Lavrakas, P. J.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- Qualitatively Speaking: Mobile qualitative finally hits its stride; 2012; Bryson, J.
- Modular Survey Design for Mobile Devices; 2012; Johnson, A., Kelly, F.
- Using SMS Text Messaging To Collect Time Use Data; 2012; Brenner, P., DeLamater, J.
- Telephone Status, Attitudes toward Participation in Future Surveys, and Willingness to Join a Local...; 2012; Beach, S., Musa, D.