Web Survey Bibliography
Background: Early detection of symptoms arising from exposure to pathogens, harmful substances, or environmental changes is required for timely intervention. The administration of Web-based questionnaires is a potential method for collecting information from a sample population.
Objective: The objective of our study was to develop a Web-based daily questionnaire for health (WDQH) for symptomatic surveillance.
Methods: We adopted two different survey methods to develop the WDQH: an Internet panel survey, which included participants already registered with an Internet survey company, and the Tokyo Consumers’ Co-operative Union (TCCU) Internet survey, in cooperation with the Japanese Consumers’ Co-operative Union, which recruited participants by website advertising. The Internet panel survey participants were given a fee every day for providing answers, and the survey was repeated twice with modified surveys and collection methods: Internet Panel Survey I was conducted every day, and Internet Panel Survey II was conducted every 3 days to reduce costs. We examined whether the survey remained valid by reporting health conditions on day 1 over a 3-day period, and whether the response rate would vary among groups with different incentives. In the TCCU survey, participants were given a fee only for initially registering, and health information was provided in return for survey completion. The WDQH included the demographic details of participants and prompted them to answer questions about the presence of various symptoms by email. Health information collected by the WDQH was then used for the syndromic surveillance of infection.
Results: Response rates averaged 47.3% for Internet Panel Survey I, 42.7% for Internet Panel Survey II, and 40.1% for the TCCU survey. During a seasonal influenza epidemic, the WDQH detected a rapid increase in the number of participants with fever through the early aberration reporting system.
Conclusions: We developed a health observation method based on self-reporting by participants via the Internet. We validated the usefulness of the WDQH by its practical use in syndromic surveillance.
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Web survey bibliography (8060)
- Effect of Topic Sensitivity on Online Survey Panelists ’ Motivation and Data Quality; 2017; Roster, C. A.; Albaum, G.; Smith, S. M.
- Incentive and Reminder Strategies to Improve Response Rate for Internet-Based Physician Surveys: A Randomized...; 2016; Cook, D. A.; Wittich, C. M.; Daniels, W. L.; West, C. P.; M.; Beebe, T. J.; Harris, A. M.
- Online Coping After Negative Life Events: Measurement, Prevalence, and Relation With Internet Activities...; 2016
- Non-probability Sampling; 2016; Vehovar, V., Toepoel, V., Steinmetz, S.
- The SAGE Handbook of Survey Methodology; 2016; Wolf, C., Joye, D., Smith, T. W., Fu, Y.
- Shorter Interviews, Longer Surveys: Optimising the survey participant experience whilst accommodating...; 2016; Halder, A.; Bansal, H. S.; Knowles, R.; Eldridge, J.; Murray, Mi.
- Gamifying. Not all fun and games; 2016; Stubington, P.; Crichton, C.
- Are interviews costing £0.08 a waste of money? Reviewing Google Surveys for Wisdom of the Crowd...; 2016; Roughton, G.; MacKay, I.
- Observations from Twelve Years of an Annual Market Research Technology Survey; 2016; Macer, T.; Wilson, S.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Current experience with mixed mode including web mode in opinion surveys in official statistics; 2016; Zajc, N.; Arnez, M..
- What is the impact of using personalized salutations on survey participation and data quality? The case...; 2016; Respi, C.; Sala, E.
- Increasing participation rates and completeness of questionnaire compilation in web survey...; 2016; Decataldo, A.; Denti, F.
- Last Year Your Answer Was … The Impact of Dependent Interviewing Wording and Survey Factors on...; 2016; Al Baghal, T.
- The Effects of a Delayed Incentive on Response Rates, Response Mode, Data Quality, and Sample Bias in...; 2016; McGonagle, K., Freedman, V. A.
- Can Student Populations in Developing Countries Be Reached by Online Surveys? The Case of the National...; 2016; Langer, A., Meuleman, B., Oshodi, A.-G. T., Schroyens, M.
- The Effects of Vignette Placement on Attitudes Toward Supporting Family Members; 2016; Lau, C. Q., Seltzer, J. A., Bianchi, S. M.
- Comparisons of Online Recruitment Strategies for Convenience Samples: Craigslist, Google AdWords, Facebook...; 2016; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- Comparing Cognitive Interviewing and Online Probing: Do They Find Similar Results?; 2016; Meitinger, K., Behr, D.
- Can Survey Data be Too Clean?: Data Cleaning and Bias Reduction; 2016; Barlas, F. M., Thomas, R. K., Fahimi, M., Buttermore, N. R.
- A new model for concept evaluation; 2016; Allen, D. R.
- Feature phones no barrier to conducting an effective conjoint study ; 2016; de Rooij, R.; Dossin, R.
- A look at the unique data-gathering process behind the Harvard Impact Study; 2016; Vitale, J.
- Are smartphone users less-engaged survey-takers? ; 2016; Derham, P.
- Are sliders too slick for surveys?; 2016; Buskirk, T. D.
- Research gamification for quality pharmaceutical stakeholder insights; 2016; Mondry, B.; Fink, L.
- The impact of survey duration on completion rates among Millennial respondents ; 2016; Coates, D.; Bliss, M.; Vivar, X.
- SurveyTester from Knowledge Navigators ; 2016; Macer, T.
- Marrying passive and custom data for effective mobile targeting; 2016; King, K.; Stevens, N.
- Simplifying your mobile solution; 2016; Berry, K.
- How to maximize survey response rates ; 2016; DeVall, R.; Colby, C.
- Can Survey Participation Alter Household Saving behaviour?; 2016; Crossley, T. F.; de Bresser, J.; Delaney, L.; Winter, J.
- Participation rates of childhood cancer survivors to self-administered questionnaires: a systematic...; 2016; Kilsdonk, E.; Wendel, E.; van Dulmen-den Broeder, E.; van Leeuwen, F.E.; Van Den Berg, M. H.; Jaspers...
- Google's MIDAS Touch: Predicting UK Unemployment with Internet Search Data; 2016; Smith, Pau.
- Patient preference: a comparison of electronic patient-completed questionnaires with paper among cancer...; 2016; Martin, P.; Brown, M.C.; Espin‐Garcia, O.; Cuffe, S.; Pringle, D.; Mahler, M.; Villeneuve, J.;...
- Towards Building An Intelligent Integrated Multi-Mode Time Diary Survey Framework; 2016; Arunachalam, H.
- Mixed Mode Research: Issues in Design and Analysis; 2016; Hox, J.; de Leeuw, E. D.; Klausch, L. T.
- Text Interviews on Mobile Devices; 2016; G.; Schober, M. F.; Antoun, C.; G.; Hupp, A.; Yan, H. Y.Conrad, F. G.
- Smartphone Participation in Web surveys: Choosing between the Potential for Coverage, Nonresponse, and...; 2016; Peterson, G.; Griffin, J.; LaFrance, J.; J.Li, J.J.
- Mobile Web Surveys: A Total Survey Error Perspective; 2016; Couper, M. P.; Antoun, C.; Mavletova, A. M.
- Total Survey Error in Practice: Improving Quality in the Era of Big Data; 2016; Biemer, P. P.; de Leeuw, E. D.; Eckman, S.; Edwards, B.; Kreuter, F.; Lyberg, L. E.; Tucker, C.; West...
- Does the Use of Smartphones to Participate in Web Surveys Affect the Survey Experience when Sensitive...; 2016; Toninelli, D.; Revilla, M.
- Device use in web surveys: The effect of differential incentives; 2016; Mavletova, A. M.; Couper, M. P.
- Web vs. Mobile Web – An Experimental Study of Mode Effects; 2016; Keusch, F.; Yan, T.
- Device Effects - How different screen sizes affect answers in online surveys; 2016; Fisher, B.; Bernet, F.
- Effects of motivating question types with graphical support in multi channel design studies; 2016; Luetters, H.; Friedrich-Freksa, M.; Vitt, SGoldstein, D. G.
- Analyzing Cognitive Burden of Survey Questions with Paradata: A Web Survey Experiment; 2016; Hoehne, J. K.; Schlosser, S.; Krebs, D.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- Secondary Respondent Consent in the German Family Panel; 2016; Schmiedeberg, C.; Castiglioni, L.; Schroeder, J.