Web Survey Bibliography
Although much of the R&D that has been conducted to date concerning cell phone surveys has focused on the issues of coverage, sampling, nonresponse, and weighting, not much has been reported about the quality of the data that are gathered from respondents interviewed on their cell phone. An AAPOR Task Force on Cell Phone Surveying (Lavrakas, et al. 2008) suggested that “there currently is no reliable evidence that the data gathered in good cell phone surveys are of lower quality than in comparable landline surveys. However, the Task Force believes it is advisable that researchers remain attentive to this concern. Future research is needed to know with confidence if, and how, data quality is affected by gathering it from a respondent on a cell phone” (p. 5). In the spirit of this call for further research into cell phone data quality, the Associated Press and GfK Roper have conducted several dual frame national telephone surveys in which approximately 200 adults were sampled and interviewed via their cell phone in each survey. Each cell phone respondent was asked whether s/he was being interviewed at her/his home or someplace else. A hypothesis suggested in the literature is that for many reasons those interviewed at home on their cell phone may, as a group, provide better quality data that those reached on a cell phone someplace else. Preliminary findings from our analyses of four surveys completed to date show that (1) about one-third of cell phone respondents complete their interview away from home and (2) there is more missing data, including more refusals to sensitive questions, among those interviewed away from home when controlling for the demographic correlates of location of the interview.
Conference Homepage (abstract) / (full text)
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.