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 (4086)
- 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.
- A Web-Based Survey To Evaluate The Factors Associated With Treatment Seeking Behavior In Adults With...; 2014; Bhattacharya, R., Dwibedi, N.
- 640 Current trends in management of high-risk prostate cancer in Europe: Results of a web-based survey...; 2014; Briganti, A., Isbarn, H., Ost, P., Ploussard, G., Sooriakumaran, P., Van Den Bergh, R.C.N., Van Oort...
- Perioperative management in order to minimise postoperative delirium and postoperative cognitive dysfunction...; 2014; Jildenstål, P. K., Jakobsson, J. G., Hallen, J. L., Berggren, L., Rawal, N.
- Data Collection Mode Effects On Political Knowledge; 2014; Liu, M., Wang, Y.
- Assessing the Potential of Paradata and Other Auxiliary Data for Nonresponse Adjustments; 2014; Krueger, B. S., West, B. T.
- QRTEngine: An easy solution for running online reaction time experiments using Qualtrics; 2014; Barnhoorn, J. S., Haasnoot, E., Bocanegra, B. R., van Steenbergen, H.
- Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis; 2014; Gnambs, T., Kaspar, K.
- Build your own social network laboratory with Social Lab: a tool for research in social media; 2014; Garaizar, P., Reips, U.-D.
- Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options...; 2014; Al Baghal, T.
- The Effect of Answering in a Preferred Versus a Non-Preferred Survey Mode on Measurement; 2014; Smyth, J. D., Olson, K., Kasabian, A.
- Self-reported cheating in web surveys on political knowledge; 2014; Jensen, C., Thomsen, J. P. F.
- The invisible Interviewer: Old and New Methodological Issues in Online Research; 2014; Niero, M.
- Improving Survey Response Rates in Online Panels Effects of Low-Cost Incentives and Cost-Free Text Appeal...; 2014; Pedersen, M. J., Nielsen, C. V.
- Open-ended questions in Web Surveys-Using visual and adaptive questionnaire design to improve narrative...; 2014; Emde, M.
- Query on Data Collection for Social Surveys; 2014; Blanke, K., Luiten, A.
- A mixed-methods study on perceptions towards use of Rapid Ethical Assessment to improve informed consent...; 2014; Addissie, A., Davey, G., Newport, M. J., Addissie, T., MacGregor, H., Feleke, Y., Farsides, B.
- Questionnaire length and breakoffs in web surveys: a meta study; 2014; Vehovar, V., Cehovin, G.
- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
- Survey participation via mobile devices in a probability-based online-panel: Prevalence, determinants...; 2014; Poggio, T., Bosnjak, M., Weyandt, K.
- Matrix versus paging designs in a brand attribution task; 2014; Conrad, F. G., McCullough, W., Nishimura, R.
- Web-respondent-driven sampling; 2014; Bianchi, A., Biffignandi, S., Artaz, R.
- Off-Label Baclofen Prescribing Practices among French Alcohol Specialists: Results of a National Online...; 2014; Rolland, B., Paille, F., Fleury, B., Cottencin, O., Benyamina, A., Aubin, H.-J.
- Influences on regression testing strategies in agile software development environments; 2014; Parsons, D., Susnjak, T., Lange, M.
- The New Majority: How Will Latino Youth Succeed in the Context of Low Educational Expectations and Assumptions...; 2014; Gomez, C. A., Villasenor, E., Mann, E. S., Mandic, C. G., Valladares, E. S., Mercado, V., et al.
- The role of email addresses and email contact in encouraging web response in a mixed mode design ; 2014; Cernat, A., Lynn, P.
- Correlates of Individual Versus Joint Participation in Online Survey Research with Same-Sex Male Couples...; 2014; Millar, B. M., Parsons, J. T., Starks, T. J.
- Testing if Healthy Perfectionism Enhances Academic Achievement in Australian Secondary School Students...; 2014; Thorpe, E., Nettelbeck, T.
- Emotion management in online groupwork reported by Chinese students; 2014; Xu, J., Du, J., Fan, X.
- Examining the Effect of Prenotification Postcards on Online Survey Response Rate in a University Graduate...; 2014; Lalasz, C. B., Doane, M. J., Springer, V. A., Dahir, V. B.
- The Power of Partisanship in Brazil: Evidence from Survey Experiments; 2014; Samuels, D., Zucco, C.