Web Survey Bibliography
The visual design and layout of websites and online data collection tools influences how people perceive, navigate and understand the information presented, as well as how they interact with the instrument. Visual design principles can be used to help the user recognize the most important information on the page and guide how they interact with specific features. For this study we use visual design principles to inform the design of a website that is intended to provide and collect information from research participants in a longitudinal panel and then evaluate the design of the website. The measures we use to evaluate the design include both passive measures, such as eye-tracking and performance data, and active measures, such as user think-aloud comments and answers to standardized questions in order to understand how people perceive the information on the site and navigate certain features. We will focus these findings on the evaluation of specific components on the site, including the organization of information, navigation tabs, use of images, card displays and edit buttons. Since this website will ultimately be used by a diverse population, the influence of respondent characteristics (e.g., age, race, computer literacy), and how to account for these characteristics through visual design, will also be discussed. We will present quantitative and qualitative findings related to each of these components and discuss how the information is used to improve the visual design of this website, as well as other websites with similar goals. In addition, the findings from the study will be used to provide best practices or guidelines for presenting particular types of information on websites and online data collection instruments.
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.