Web Survey Bibliography
According to a report published in January of 2014 by Pew Research Center, 58% of US adults own a smartphone. Since 2011, smartphone ownership has increased by 23 percentage points. More shockingly, the growth of tablet ownership increased from 3% in 2010 to 42% in 2013. As ownership of these devices increases, it is essential to include these respondents in our samples if the samples are to continue to represent the online population frame. Limited research has been conducted regarding the questionnaire design aspect of online survey research via mobile devices, despite the fact that a growing number of respondents are attempting to take surveys on their mobile devices (Cazes et al. 2011). Previous research suggests that online surveys taken on mobile devices tend to have high drop off rates especially if the survey has not been optimized for mobile devices. In addition, past research demonstrates that respondents who took an online survey via mobile web took longer to complete the survey than those who took the survey using a mobile app or PC web. The most recent contribution to this research was by Nielsen and NPD Group (2013). These studies observed how respondents took surveys on a smartphone versus on a computer. Smartphone users were administered the survey via a survey app which was programmed for all the major smartphone operating systems. Non-smartphone respondents were sent an email invitation containing the survey link to the same questionnaire. The questionnaire contained 24 questions regarding consumer behavior, internet usage and TV viewing habits. Although the questionnaire included short questions and response lists and did not contain any grid type questions, it was not optimized for smartphone web administration. Seven hundred and five respondents completed using the app and 771 complete the survey online. Eighteen percent of respondents who were instructed to take the survey using a PC or laptop completed the survey using a smartphone. In addition, 4.6% of mobile respondents who were instructed to complete the survey via the smartphone app completed the survey using a tablet. Consistent with previous findings, dropout rates were higher among mobile web respondents and mobile app respondents. No significant difference was found between tablet and computer respondents. Findings regarding completion rate were also consistent with previous findings. Mobile web respondents took more time than others to complete the survey. Lastly, the study found no significant differences in item non-response by mode or platform.
Web survey bibliography - 2014 (234)
- Detecting Insufficient Effort Responding with an Infrequency Scale: Evaluating Validity and Participant...; 2016; Huang, J. L.; Bowling, N. A.; Liu, Me.; Li, Yu.
- Evaluating Three Approaches to Statistically Adjust for Mode Effects; 2016; Kolenikov, S.; Kennedy, C.
- An Examination of Opposing Responses on Duplicated Multi-Mode Survey Responses; 2016; Djangali, A.
- Computer-assisted and online data collection in general population surveys; 2016; Skarupova, K.
- Usability of the ACS Internet Instrument on Mobile Devices; 2015; Horwitz, R.
- Explorations in Non - Probability Sampling Using the Web; 2015; Brick, J. M.
- On Bias Adjustments for Web Surveys; 2015; Fan, L.; Lou, W.; Landsman, V.
- Are they willing to use the web? First results of a possible switch from PAPI to CAPI/CAWI in an establishment...; 2015; Ellguth, P.; Kohaut, S.
- Web panel surveys – a challenge for official statistics; 2015; Svensson, J.
- Estimation with Non-probability Surveys and the Question of External Validity; 2015; Dever, J. A.; Valliant, R. L.
- Measurement Properties of Web Surveys; 2015; Tourangeau, R.
- Improving Response to Household Surveys Using Mail Contact to Request Responses over the Internet: Results...; 2015; Dillman, D. A.
- The quality of data collected using online panels: a decade of research ; 2015; Callegaro, M.
- Sub-optimal Respondent Behavior and Data Quality in Online Surveys; 2015; Thomas, R. K.
- Methodology of the RAND Mid-Term 2014 Election Panel; 2015; Carman, K. G; Pollack, S.
- Designing Bonsai Surveys: The small but perfectly formed survey experience to meet the needs of the...; 2015; Puleston, J.
- Suggestions for international research using electronic surveys; 2015; e Silva, S. C.; Duarte, P.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- The effect of multiple reminders on response patterns in a Danish health survey; 2015; Christensen, A. I.; Ekholm, O.; Kristensen, P. L.; Larsen, F. B.; Vinding, A. L.; Gluemer, C.; Juel,...
- The quality of responses to grid questions as used in Web questionnaires (compared with paper questionnaires...; 2015; Dominguez, J. A.; de Rada, V. D.
- Identifying predictors of survey mode preference; 2015; Millar, M. M.; Olson, K.; Smyth, J. D.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- Growing Beyond the Phone Tree; 2014; Hayzlett, J.
- A Comparison of Different Online Sampling Approaches for Generating National Samples; 2014; Heen, M. S. J., Lieberman, J. D., Miethe, T. D.
- Does Sequence Matter in Multimode Surveys: Results from an Experiment; 2014; Wagner, J., Arrieta, J., Guyer, H., Ofstedal, M. B.
- The Use of Cognitive Interviewing Methods to Evaluate Mode Effects in Survey Questions; 2014; Gray, M., Blake, M., Campanelli, P.
- A Mixed Methods Approach to Network Data Collection; 2014; Rice, E., Holloway, I. W., Barman-Adhikari, A., Fuentes, D., Brown, C. H., Palinkas, L. A.
- Infliential Factors on Survey Outcomes: Length of Survey, Device Selection and Extrnal Elements; 2014; Ribeiro, E.
- The Effect of Mobile Web Survey Design on Screen Orientation Manipulation; 2014; Young, R.H.; Crawford, S. D.; Couper, M. P.; Nelson, T. F.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- Do online access panels really need to allow and adapt surveys to mobile devices? ; 2014; Revilla, M.; Toninelli, D.; Ochoa, C.; Loewe, G.
- Why you need to make your surveys mobile friendly NOW; 2014; Lorch, J.; Mitchell, N.
- Assessing the Impact Device Choice Has on Web Survey Data Collection ; 2014; Hupp, A.; Schroeder, H. M.; Piskorowski, A.D.
- Understanding Mobility: Consent and Capture of Geolocation Data in Web Surveys; 2014; Crawford, S. D.; McClain, C.; Young, R.H.; Nelson, T. F.
- Swipe, Snap & Chat: Mobile Survey Data Collection Using Touch Question Types and Mobile OS Features ; 2014; Buskirk, T. D.; Michaud, J.; Saunders, T.
- Statistical Approaches to Analyze Self-Reported Susceptibility to Driver Distraction; 2014; Chen, H-Y. W.; Donmez, B.; Ko, Y-D.
- Using Web Panels for Official Statistics; 2014; Bethlehem, J.
- The problem of non-response in population surveys on the topic of HIV and sexuality: a comparative study...; 2014; Wallander, L.; H.; Mannheimer, L. N.; Oestergren, P. O.; Plantin, L.Tikkanen, R. H.
- Does the Length of Fielding Period Matter? Examining Response Scores of Early Versus Late Responders; 2014; Dyer Yount, N.; Lewis, T.; Lee, K.; Sigman, R.
- FocusVision 2014 Annual MR Technology Report; 2014; Macer, T., Wilson, S.
- When it comes to mobile respondent experience and data quality, survey design matters; 2014; Mitchell, N.
- The Changing Landscape of Technology and its Effect on Online Survey Data Collection; 2014; Mitchell, N.
- Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method, 4th Edition; 2014; Dillman, D. A., Smyth, J. D., Christian, L. M.
- The survey playbook: how to create the perfect survey. (Vol.1); 2014; Champagne, M. V.
- Do your own online surveys. DYI and self serve market research; 2014; Cary, N.
- The Influence of Answer Box Format on Response Behavior on List-Style Open-Ended Questions; 2014; Keusch, F.
- Nonprobability Web Surveys to Measure Sexual Behaviors and Attitudes in the General Population: A Comparison...; 2014; Erens, B.; Burkill, S.; Couper, M. P.; C., Clifton, S., Tanton, C., Phelps, A., Datta, J., Mercer,...
- Luteal-phase support in assisted reproduction treatment: real-life practices reported worldwide by an...; 2014; Vaisbuch, E., de Ziegler, D., Leong, M., Shoham, Z., Weissman, A.
- Facebook, Twitter, & Qr Codes: An Exploratory Trial Examining The Feasibility Of Social Media Mechanisms...; 2014; Gu, L. L.
- Time-dependent variation in the responses to the web-based ISAAC questionnaire; 2014; Yoshida, K., Sasaki, M., Odajima, H., Itazawa, T., Hashimoto, K., Furukawa, M., Adachi, Y.