Web Survey Bibliography
Over the last ten years the number of people using the Internet for health information and advice has grown rapidly. Many people trust the information and advice they find online although this trust may be misplaced. Indeed in a systematic meta-analysis of health website evaluations, 70% of studies concluded that quality is a problem on the Internet (Eysenbach et al., 2002). In the face of such variable quality, how do health consumers decide whether or not to trust the information and advice they find online? To address this question a review of Internet health use over the last ten years has been instigated with the intention of examining the attitudes and behaviour of online health consumers at 5 year intervals. This paper reports on the findings of that decade in e-health.
In the year 2000 a large scale questionnaire was developed to assess online trust across a number of domains including health (Briggs et al., 2002). The data from the questionnaire was used to develop a staged model of trust. This model noted that design factors and visual appeal appeared to be strong predictors of early rejection and mistrust of a health website whilst content features such as source credibility and personalisation appeared to be more predictive of trust and selection.
In 2005 the researchers sampled online health consumers again with two main objectives. Firstly, to generate an updated picture of the online health landscape, providing information on the kinds of websites people were accessing and the types of information they were seeking. Secondly, to build upon the original staged model of trust and so increase understanding of the process by which trust perceptions are translated into relevant behaviour. To these ends a revised trust questionnaire was developed reflecting the importance of both design and social identity issues. In addition questions specific to e-health (notably perceived threat, coping, and information checking and corroboration) were included. As predicted, these variables added to the ability of the model to predict variance in both trust and readiness to act upon the advice provided by the site. The results of the 2005 questionnaire data showed that women were still the predominant users of the Internet for health advice but that the sites they were seeking had changed from 2000. A key difference between the 2005 and 2000 data was the rise in use of ‘less regulated’ health sites (Sillence et al., 2006). These sites were typically run by individual ‘experts’ and marked the growing interest in Patient Experience (PEx) material online. This interest was reflected in the 2011 revised questionnaire which included items designed to measure the exposure to and importance of PEx material. The preliminary findings indicate that whilst PEx material predicts whether or not people like the site it negatively predicts their trust perceptions and has no bearing on their subsequent actions.
Collectively the findings of this 10 year study provide valuable insights into the design of trustworthy health websites, our understanding of the process between trust and behavioural outcomes and the provision of PEx websites. This should be of interest to researchers, health practitioners, providers and policy makers.
Social Science Research Network (abstract) / (full text)
Web Survey Bibliography (6797)
- Measurement Invariance; 2013; Muthen, B. O., Oberski, D., Klausch, L. T., Asparouhov, T.
- History of Technology in Research; 2013; Sahu, C.
- Comparing Web-based with Mail Survey Administration of the Consumer Assessment of Healthcare Providers...; 2013; Bergeson , S. C., Gray, J., Ehrmantraut, L. A., Hays, R. D.
- Online survey of insolvency professionals undertaken for TSO. Summary analysis prepared for survey participants...; 2013; Tribe, J., Purdy, D.
- Data Collection in Sociolinguistics: Methods and Applications; 2013; Mallinson, C., Childs, B., Van Herk, G.
- Cultural Challenges in Online Survey Data Collection; 2013; Baron, N. S.
- Effect of survey mode on response patterns: comparison of face-to-face and self-administered modes in...; 2013; Illemann Christensen, A., Ekholm, O., Gluemer, C., Juel, K.
- Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison; 2013; Gao, Z., House, L., Jing, X.
- The Online Statistical Survey As An Alternative To Traditional Methods; 2013; Dinu, S., Nitoiu, M., Pomazan, C.
- Self-Rated Health Assessed by Web Versus Mail Modes in a Mixed Mode Survey: The Digital Divide Effect...; 2013; Shim, J.-M., Shin, E., Johnson, T. P.
- Online Survey Design and Development: A Janus-Faced Approach; 2013; Lauer, C., McLeod, M., Blythe, S.
- Survey Sidekick: Learning & designing scientifically sound surveys; 2013; Hsiao, I.-H., Malhotra, M., Joo, J., Chae, H. S., Natriello, G.
- Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction; 2013; Zhang, C.
- A probability-based web panel for UK policy research: some initial thoughts from a Government survey...; 2013; Littlechild, J.
- Scientific impact of the MESS Project: A brief overview; 2013; Das, M.
- A probability-based web panel for the UK: What could it look like?; 2013; Nicolaas, G.
- Current UK provision of web panaels and Omnibus; 2013; Lagorio, C.
- Feasibility of Using Web to Survey at a Sample of Addresses: a UK ESS experiment; 2013; Villar, A.
- What works? Getting the General Population To Go Online in a Mixed Mode Local Health Survey; 2013; Frigault, L.-R., Azzou, S. A. K., Molloy, E. J. K., Ammarguellat, F., Couture, M., Gratton, J.
- ONS Plans for Web Data Collection in LFS; 2013; Lound, C.
- On-line questionnaire completion time and personality test scores; 2013; Furnham, A., Hyde, G., Trickey, G.
- The Handbook of Questionnaire Design; 2013; Krosnick, J. A., Fabrigar, L. R.
- ESSnet Data: Collection for Social Surveys using Multiple Modes; 2013; Sattelberger, S., Blanke, K.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Recent Experiences with Electronic Questionnaire Testing at Statistics Canada ; 2013; Lawrence, D.
- Usability and Accessibility Guidelines for Web Sites and Web Surveys ; 2013; Ashenfelter, K. T.
- Questionnaire development & testing in the 21st century: What are the challenges?; 2013; Collins, D.
- Improved Dialogue Features in Web Surveys?; 2013; Lund, K.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- When We Do Not Know the Difference – the Level of DK in Different Question Formats and Different...; 2013; Schwarzer, S., Zeglovits, E., Connor, D. S.
- New Versus Old Technologies: An Examination of Usability and Cognitive Issues Across Modes Among Respondents...; 2013; Nichols, E. M., Goerman, P. L., Jurgenson, N., King, T., Olmsted, M. G., Childs, J. H.
- Factors Influencing Survey Participation Rates on an Online, Probability-Based Research Panel; 2013; Wiest, D.
- Effects of Self-Awareness on Disclosure During Skype Survey Interviews; 2013; Feuer, S., Schober, M. F.
- The Effect of Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Pre-Recorded...; 2013; Pens, Y., Cantave, M. A., Gentry, R. J.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- A Multi-Survey, Multi-Methodological Assessment of Perception of Need and Quality of Life: Opinion Polling...; 2013; Levy, D.,
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Using Motivating Prompts to Increase Responses to Open-ended Questions in Mixed-mode Surveys: Where...; 2013; Israel, G. D.
- How Open Are We to the Open-Ended Questions?; 2013; Mamedova, S.
- Will Snowball Sampling Leave Your Data in the Cold?; 2013; Cavallaro, K.
- Panel Attrition: Separating Stayers, Sleepers and Other Types of Drop-Out in an Internet Panel; 2013; Lugtig, P. J.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Augmenting Paper Diaries With Phone and Web Data Retrieval: Is it Effective?; 2013; Wargelin, L., Minser, J., Homer, Z., Fleeman, A., ZuWallack, R. S.
- Alone in a Group: Comparison of Effects of a Group-Administered Paper-Pencil Survey Versus an Individually...; 2013; Higgins, W. B., Barlas, F. M., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- The Effect of Survey Mode on Socially Undesirable Responses to Open Ended Questions: Online vs. Paper...; 2013; Hedberg, E., Ceasar, G., Wallace, D.
- Mode Effects in a National Establishment Survey; 2013; Daley, K., Phillips, B. T.
- Cognitive Interviewing in Online Modes: a Comparison of Data Collected in Second Life and Skype; 2013; Swicegood, J. E., Head, B., Dean, E., Keating, M.
- Mobile Browser Web Surveys: Testing Response Rates, Data Quality and Best Practices; 2013; McGeeney, K., Marlar, J.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.