Web Survey Bibliography
The traditional methods in epidemiological data collection are both costly and time consuming and less convenient for longitudinal large-scale studies. During the last decades, epidemiological studies suffer from low response rates, indicating a need to revise methods used in epidemiological data collection. e-epidemiology is the science underlying usage of Information and Communication Technologies (ICT) in epidemiological studies and enable new possibilities for data collection. In this thesis four studies evaluating methods including mobile phones, the web and Interactive Voice Response (IVR) are described. In study I, the feasibility of using an Internet-based hearing test combined with a web-based questionnaire was evaluated in a pilot study among Swedish hunters. The response rate was very low with a bias toward older individuals (40-60 years) who had access to the correct equipment at study start. Though a number of limitations, the hearing-test demonstrates a possibility of using the web in epidemiological data collection. In study II, repeated measures of physical activity level (PAL) through a Java-based questionnaire in mobile phones were compared to a gold standard of measuring energy expenditure. The Java-based physical activity questionnaire sent repeatedly through mobile phones produced average PAL estimates that agreed well with PAL reference values, indicating that the method may be a feasible and cost effective method for data collection on physical activity. Study III compared data collected through Short Message Service (SMS) to traditional telephone interviews in a population-based sample. Though the study produced very low response rate, the results on influenza vaccination status was not statistically significantly different from data collected through telephone interviews. Study IV compared data on self-reports on infectious disease where the participants could choose between web and IVR. The web was more popular than IVR and attracted more men and younger individuals with a higher completed education compared to IVR. There was no statistically significantly difference of reported infections or Influenza-Like Illness (ILI) between the two techniques after adjusting for available confounders. Studies I, III and IV were affected by low response rates, effecting both the validity and precision of the results. All studies were affected by bias and all but study II were probably confounded by age. The mechanisms behind these factors are important to evaluate further in order to understand how it affects the collected data. However, when possible to adjust for confounders, the techniques per se did not seem to influence data negatively compared to reference data. All studies were evaluated on a Swedish population with high access to the Internet and mobile phones, and the results might not be generalizable to populations with less access. This thesis has demonstrated a fraction of the possibilities using ICT in epidemiological data collection and e-epidemiology is still in its youth. Once the techniques have been thoroughly evaluated, there are probably endless possibilities to ensure high quality data collection through methods adapted to a modern society.
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Web survey bibliography (305)
- Measuring Subjective Health and Life Satisfaction with U.S. Hispanics; 2017; Lee, S.; Davis, R.
- Device and Internet Use among Spanish-dominant Hispanics: Implications for Web Survey Design and Testing...; 2017; Trejo, Y. A. G.; Schoua-Glusberg, A.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Development and Pilot Test of a Mobile Application for Field Data Collection; 2016; Chiappetta, L.; Kerr, M. M.
- Are Initial Respondents Different from the Nonresponse Follow-Up Cases? A Study of Probability-Based...; 2016; Zeng, W.; Dennis, J. M.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- Web surveys for offline rural communities ; 2016; Gichohi, B. W.
- Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey:...; 2016; Dal Grande, E.; Chittleborough, C. R.; Campostrini, S.; Dollard, M.; Taylor, A. W.
- Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode; 2016; Walsh, E.; Brinker, J. K.
- Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya; 2016; Johnson, D.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Who Are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences...; 2015; Antoun, C.
- Mobile Research Methods: Opportunities and challenges of mobile research methodologies. ; 2015; Toninelli, D. (Ed.); Pinter, R.; de Pedraza, P.
- Web Surveys Optimized for Smartphones: Are there Differences Between Computer and Smartphone Users?; 2015; Andreadis, I.
- Usability of the ACS Internet Instrument on Mobile Devices; 2015; Horwitz, R.
- GreenBook Research Industry Trends Report; 2015; Murphy, L. (Ed.)
- Emerging Technologies: The Rise of Mobile Devices: From Smartphones to Smart Surveys; 2015; Buskirk, T. D.
- PayPal? An Incentive to Check-out?; 2015; Franklin, J.; Rasmussen, C.; Pruitt, J.; Waller, D.
- Designing Bonsai Surveys: The small but perfectly formed survey experience to meet the needs of the...; 2015; Puleston, J.
- Open narrative questions in PC and smartphones: is the device playing a role?; 2015; Revilla, M.; Ochoa, C.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- Internet Research in Psychology; 2015; Gosling, S. D., Mason, W.
- Are Tailored Outreach Efforts Too Costly? An Assessment of a Responsive Design Approach to Control Costs...; 2015; Epps, S. R.; Getman, D. P.; Hall, L. M.; Hunter, J. A.
- 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.
- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
- Survey participation via mobile devices in a probability-based online-panel: Prevalence, determinants...; 2014; Poggio, T., Bosnjak, M., Weyandt, K.
- Keeping Surveys Valid, Reliable, and Useful: A Tutorial; 2014; Greenberg, M. R., Weiner, M. D.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison; 2014; Ansolabehere, S., Schaffner, B. F.
- Nonresponse and Mode Effects in Self- and Interviewer-Administered Surveys; 2014; Atkeson, L. R.; Adams, A. N.; Alvarez, M. R.
- Do Web surveys facilitate reporting less favourable opinions about law enforcement?; 2014; Boivin, R., Cordeau, G.
- Question Grouping and Matrices in Web Surveys: Using Response and Auxiliary Data to Examine Question...; 2014; Bilgen, I., Stern, M. J.
- The Grouping of Items in Mobile Web Surveys; 2014; Mavletova, A. M., Couper, M. P.
- Moving answers with the GyroScale: Using the mobile device’s gyroscope for market research purposes...; 2014; Luetters, H., Kraus, M., Westphal, D.
- Students First Choice – the influence of mobile mode on results; 2014; Maxl, E.
- Device Effects: How different screen sizes affect answer quality in online questionnaires; 2014; Fischer, B., Bernet, F.
- Moving towards mobile ready web panels; 2014; Wijnant, A., de Bruijne, M.
- Online mobile surveys in Italy: coverage and other methodological challenges; 2014; Poggio, T.
- Comparison of Three Modes for a Crime Victimization Survey; 2013; Laaksonen, S., Heiskanen, M.
- Understanding Society Innovation Panel Wave 5: results from methodological experiments; 2013; Auspurg, K., Burton, J., Cullinane, C., Delavande, A., Fumagalli, L., Iacovou, M., Jaeckle, A., Kaminska...
- A Comparison of Results from a Spanish and English Mail Survey: Effects of Instruction Placement on...; 2013; Wang, K., Sha, M.
- Intra-individual variation of extreme response style in mixed-mode panel studies; 2013; Aichholzer, J.