Web Survey Bibliography
This paper emerges out of a programme of workshops on Real Time Research, funded by NCRM during 2011-12, which brought together a network of interdisciplinary scholars to discuss the possibilities and challenges of doing research in real time. As well as these discussions, we also engaged in various exercises designed to give us practical experience of doing research in real time. The past, present and future are always brought together in social science methods, contributing to temporally significant modalities of enquiry, such as the ethnographic present, prediction or genealogy. But the workshops were designed to address the implications of the ‘timeliness’ of research in the context of an increasingly digitised and informational culture that allows access to, and creates dependences on, quantities of data gathered from diverse sources, often as soon as they are produced. The main questions we sought to address were: How are the dynamics of an informational society and digital culture transforming the temporality of methods? What opportunities are offered for research by the ongoing expansion of the present? And how can social science make use of the availability of real-time (immediately and continuously accessible) information? This paper explores the opportunities and threats of doing research in real time.
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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.