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 (30)
- Respondent mode choice in a smartphone survey ; 2017; Conrad, F. G., Schober, M. F., Antoun, C., Yan, H. Y., Hupp, A., Johnston, M., Ehlen, P., Vickers, L...
- Utilizing iPads in the Field; 2015; Kiser, P.
- Challenging Survey Screen Designs on Smartphones; 2015; Nichols, E. M.; Olmsted, E. L.
- Evaluating Visual Design Elements for Data Collection and Panelist Engagement; 2015; Christian, L. M.; Harm, D.; Langer Tesfaye, C.; Wells, T.
- Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour...; 2015; Liebe, U., Glenk, K., Oehlmann, M., Meyerhoff, J.
- 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.
- Survey participation via mobile devices in a probability-based online-panel: Prevalence, determinants...; 2014; Poggio, T., Bosnjak, M., Weyandt, K.
- Moving towards mobile ready web panels; 2014; Wijnant, A., de Bruijne, M.
- 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.
- Internet as a new source of information for the production of official statistics. Experiences of Statistics...; 2013; Heerschap, N.
- Doing real time research: Opportunities and challenges; 2013; Back, L., Lury, C., Zimmer, R.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- 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.
- Cross-Platform Measurement: User Experience With a Smartphone and Web Self- Reported Data Collection...; 2013; Petras, A. P., Duan, S., Dan, O.
- Designing Surveys for Tablets and Smartphones; 2013; Lakhe, S., Nichols, E. M., Olmsted, M. G., King, T.
- PDAs in socio-economic surveys: instrument bias, surveyor bias or both?; 2013; Escobal, J., Benites, S.
- The smartphone psychology manifesto; 2012; Miller, G.
- What is Probit; 2011
- Mobile, webmail, desktops: Where are we viewing email now?; 2011
- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Evaluating the usability of personal digital assistants to collect behavioral data on adolescents with...; 2011; McClamroch, K. J.
- Computer-assisted questionnaires may facilitate collection of quality-of-life (QOL) data: At a cost; 2006; Smith, Ad. B., Velikova, G., Wright, E. P., Lynch, P., Selby, P. J.
- Response order effects – how do people read?; 2003; Duffy, B.
- Response latency methodology for survey research: Measurement and modeling strategies; 2003; Mulligan, K., T., Mockabee, S. T., Grant, J. T., Monson, J. Q.
- Using touch screen audio-CASI to obtain data on sensitive topics; 2001; Cooley, P. C., Rogers, S. M., Al-Tayyib, A. A., Ganapathi, L. F., Willis, G. B., Turner, C. F.