Web Survey Bibliography
The aim of this study was to describe the feasibility, advantages and limitations of the combined use of Internet and SMS technology to assess alcohol use, and to test whether an SMS sent in the evening (i.e. prior to a possible drinking event) changed the respondents' assessment, made on the following day, of the number of drinks consumed. Participants: Seventy young adults (mean age 22.7) were recruited through face-to-face contacts, e-mails and Internet advertisements. Design and setting: Participants completed a baseline assessment via Internet and were randomly assigned to two conditions (with and without evening SMS). Over four weekends, both Friday and Saturday night, drinking was assessed via SMS questions sent the next day to the participants' cell phones. Results: A high retention rate (75% in total) was obtained across all three recruitment conditions. The number of drinks indicated in the SMS survey was strongly correlated with the usual quantity assessed via Internet and did not differ depending on whether an additional SMS question was sent in the evening or not. Conclusion: The new method shares some of the advantages of conventional diaries but overcomes most of the limitations: it is easy to use, cost-effective and suitable for large-scale surveys. Application restrictions and further developments are discussed.
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Web survey bibliography (281)
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- Standard Definitions Final Dispositions of Case Codes and Outcome Rates for Surveys; 2016
- Retrospective Measurement of Students’ Extracurricular Activities with a Self-administered Calendar...; 2016; Furthmueller, P.
- Pitfalls, Potentials, and Ethics of Online Survey Research: LGBTQ and Other Marginalized and Hard-to...; 2016; McInroy, L. B.
- Computer-assisted and online data collection in general population surveys; 2016; Skarupova, K.
- A Statistical Approach to Provide Individualized Privacy for Surveys; 2016; Esponda, F.; Huerta, K.; Guerrero, V. M.
- Social Media Analyses for Social Measurement; 2016; Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
- Doing Surveys Online ; 2016; Toepoel, V.
- An Overview of Mobile CATI Issues in Europe; 2015; Slavec, A.; Toninelli, D.
- Utilizing iPads in the Field; 2015; Kiser, P.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2015; 2015
- The Web Survey Revolution ; 2015; Murray, D.
- Methodology of the RAND Mid-Term 2014 Election Panel; 2015; Carman, K. G; Pollack, S.
- 28 Questions to Help Buyers of Online Samples; 2015; Cape, P. J.; Phillips, A.; Baker, R.; Cooke, M.; Ribeiro, E.; Terhanian, G.
- Ethical decision-making and Internet research 2.0: Recommendations from the AoIR ethics working committee...; 2015; Markham, A.; Buchanan, E. A.
- Doing online research involving university students with disabilities: Methodological issues; 2015; De Cesarei, A.; Baldaro, B.
- Exploring ethical issues associated with using online surveys in educational research; 2015; Roberts, L. D.; Allen, P. J.
- An Introduction to Survey Research; 2015; Cowles, E. L.; Nelson, E.
- Ethical issues in online research; 2015; James, N.; Busher, H.
- Leading Edge Insights: Foundations of Quality 2.0; 2014; Fuguitt, G.
- Methods and systems for managing an online opinion survey service; 2014; Mcloughlin, M. H., Seton, N., Blesy, K.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.
- Undisclosed Privacy: The Effect of Privacy Rights Design on Response Rates; 2014; Haer, R., Meidert, N.
- Tailoring mode of data collection in longitudinal studies; 2013; Kaminska, O., Lynn, P.
- How do we Know Cognitive Interviewing is Any Good?; 2013; Willis, G. B.
- Quality of Web surveys; 2013; Revilla, M.
- Experiments in Obtaining Data Linkage Consent in Web Surveys ; 2013; Sakshaug, J. W., Kreuter, F.
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.
- Internet as a new source of information for the production of official statistics. Experiences of Statistics...; 2013; Heerschap, N.
- A standard with quality indicators for web panel surveys: a Swedish example; 2013; Nyfjaell, M.
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- How to make your questionnaire mobile-ready; 2013; Cape, P. J.
- Phish Rising: How Internet Criminals are Undermining the Viability of Online Survey Research…and...; 2013; Kunovic, K.
- Self-Reported Participation in Research Practices Among Survey Methodology Researchers; 2013; Perez-Vergara, K., Smith, C., Lowenstein, C., Ozonoff, A., Martins, Y.
- Ethics, privacy and data security in web-based course evaluation; 2013; Salaschek, M., Meese, C., Thielsch, M.
- Beyond methodology - some ethical implications of "doing research online"; 2013; Heise, N.
- Code Comparison; 2012
- Evaluation procedures for Survey questions; 2012; Saris, W. E.
- Transparency, Access and the Credibility of Survey Research; 2012; Lupia, A.
- Anonymity and Confidentiality; 2012; Tourangeau, R.
- Cognitive Evaluation of Survey Instruments: State of the Science (Art?) and Future Directions; 2012; Willis, G. B.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
- Comparability of Survey Measurements; 2012; Oberski, D.
- Classification of Surveys; 2012; Stoop, I., Harrison, E.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- Why one should incorporate the design weights when adjusting for unit nonresponse using response homogeneity...; 2012; Kott, P. S.
- Assessing the Quality of Survey Data ; 2012; Blasius, J.
- Designing and Doing Survey Research; 2012; Andres, L.
- Using break-offs in web interviews for predicting web response in mixed mode surveys; 2011; Beukenhorst, D.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2011; 2011