Web Survey Bibliography
By 2025, when most of today’s psychology undergraduates will be in their mid-30s, more than 5 billion people on our planet will be using ultra-broadband, sensor-rich smartphones far beyond the abilities of today’s iPhones, Androids, and Blackberries. Although smartphones were not designed for psychological research, they can collect vast amounts of ecologically valid data, easily and quickly, from large global samples. If participants download the right “psych apps,” smartphones can record where they are, what they are doing, and what they can see and hear and can run interactive surveys, tests, and experiments through touch screens and wireless connections to nearby screens, headsets, biosensors, and other peripherals. This article reviews previous behavioral research using mobile electronic devices, outlines what smartphones can do now and will be able to do in the near future, explains how a smartphone study could work practically given current technology (e.g., in studying ovulatory cycle effects on women’s sexuality), discusses some limitations and challenges of smartphone research, and compares smartphones to other research methods. Smartphone research will require new skills in app development and data analysis and will raise tough new ethical issues, but smartphones could transform psychology even more profoundly than PCs and brain imaging did.
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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.