Web Survey Bibliography
Background: Surveying persons with disabilities is challenging, as targeted subjects may experience specific barriers to survey participation. Here we report on participation rates and response behaviour in a community survey of people with spinal cord injury (SCI) in Switzerland. The cross-sectional survey was implemented as part of the Swiss Spinal Cord Injury Cohort Study (SwiSCI) and represents the largest population-based SCI survey in Europe including nearly 2000 persons. Design features to enhance participation rates included the division of the questionnaire volume over three successive modules; recurrent and mixed-mode reminding of non-responders; and mixed-mode options for response. Methods: We describe participation rates of the SwiSCI community survey (absolute and cumulative cooperation, contact, response, and attrition rates) and report on response rates in relation to recruitment efforts. Potential non-response bias and the association between responders’ characteristics and response behaviour (response speed: reminding until participation; response mode: paper-pencil vs. online completion) were assessed using regression modelling. Results: Over the successive modules, absolute response rates were 61.1, 80.6 and 87.3 % which resulted in cumulative response rates of 49.3 and 42.6 % for the second and third modules. Written reminders effectively increased response rates, with the first reminder showing the largest impact. Telephone reminders, partly with direct telephone interviewing, enhanced response rate to the first module, but were essentially redundant in subsequent modules. Non-response to the main module was related to current age, membership of Swiss Paraplegic Association (SPA) and time since injury, but not to gender, lesion level and preferred language of response. Response speed increased with household income, but was not associated to other sociodemographic factors, lesion characteristics or health indicators. We found significant associations between online completion and male gender, younger age, higher education, higher income, SPA membership, tetraplegia, longer time since injury, higher quality of life, and more participation restrictions. Conclusion: In this sample with little non-response bias, recurrent and mixed-mode reminding and mixed-mode options for response were key features of optimizing survey design.
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Web survey bibliography - Other (439)
- New Generation of Online Questionnaires?; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- The Analysis of Respondent’s Behavior toward Edit Messages in a Web Survey; 2016; Park, Y.
- Comparing online and telephone survey results in the context of a skin cancer prevention campaign evaluation...; 2016; Hollier, L.P.; Pettigrew, S.; Slevin, T.; Strickland, M.; Minto, C.
- Sample Representation and Substantive Outcomes Using Web With and Without Incentives Compared to Telephone...; 2016; Lipps, O.; Pekari, N.
- The Dynamic Identity Fusion Index: A New Continuous Measure of Identity Fusion for Web-Based Questionnaires...; 2016; Jimenez, J.; Gomez, A.; Buhrmester, M.; Whitehouse, H.; Swann, W. B.
- Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya; 2016; Johnson, D.
- When Should I Call You? An Analysis of Differences in Demographics and Responses According to Respondents...; 2016; Vicente, P.; Lopes, I.
- The use and positioning of clarification features in web surveys; 2016; Metzler, A., Kunz, T., Fuchs, M.
- Electronic and paper based data collection methods in library and information science research: A comparative...; 2016; Tella, A.
- Identifying Pertinent Variables for Nonresponse Follow-Up Surveys. Lessons Learned from 4 Cases in Switzerland...; 2016; Vandenplas, C.; Joye, D.; Staehli, M. E.; Pollien, A.
- A Technical Guide to Effective and Accessible web Surveys; 2016; Baatard, G.
- A Framework of Incorporating Thai Social Networking Data in Online Marketing Survey; 2016; Jiamthapthaksin, R.; Aung, T. H.; Ratanasawadwat, N.
- Internet Abusive Use Questionnaire: Psychometric properties; 2016; Calvo-Frances, F.
- The impact of academic sponsorship on Web survey dropout and item non-response; 2016; Allen, P. J.; Roberts, L. D.
- A Statistical Approach to Provide Individualized Privacy for Surveys; 2016; Esponda, F.; Huerta, K.; Guerrero, V. M.
- Quality of Different Scales in an Online Survey in Mexico and Colombia; 2016; Revilla, M.; Ochoa, C.
- Presentation matters: how mode effects in item non-response depend on the presentation of response options...; 2016; Zeglovits, E.; Schwarzer, S.
- Exploring Factors in Contributing Student Progress in the Open University; 2016; Arifin, M. H.
- Taking MARS Digital; 2015; Melton, E.; Krahn, J.
- A Comparison of the Effects of Face-to-Face and Online Deliberation on Young Students’ Attitudes...; 2015; Triantafillidou, A.; Yannas, P.; Lappas, G.; Kleftodimos, A.
- Doing Online Surveys: Zum Einsatz in der sozialwissenschaftlichen Raumforschung; 2015; Nadler, R.; Petzold, K.; Schoenduwe, R.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Willingness of Online Access Panel Members to Participate in Smartphone Application-Based Research; 2015; Pinter, R.
- Who Has Access to Mobile Devices in an Online Opt-in Panel? An Analysis of Potential Respondents for...; 2015; Revilla, M.; Toninelli, D.; Ochoa, C.; Loewe, G.
- Cell Phone and Face-to-face Interview Responses in Population-based Sur- veys - How Do They Compare?; 2015; Ghandour, L.; Ghandour, B.; Mahfoud, Z.; Mokdad, A.; Sibai, A. M.
- Evaluation of an Adapted Design in a Multi-device Online Panel: A DemoSCOPE Case Study; 2015; Arn, B.; Klug, S.; Kolodziejski, J.
- Web Surveys Optimized for Smartphones: Are there Differences Between Computer and Smartphone Users?; 2015; Andreadis, I.
- Validation of the new scale for measuring behaviors of Facebook users: Psycho-Social Aspects of Facebook...; 2015; Bodroza, B.; Jovanovic, T.
- Participation rates, response bias and response behaviours in the community survey of the Swiss Spinal...; 2015; Fekete, C.; Segerer, W.; Gemperli, A.; Brinkhof, M.W.G.
- Comparison of telephone RDD and online panel survey modes on CPGI scores and co-morbidities; 2015; Lee, C.-K.; Back, K.-J.; Williams, Ro. J.; Ahn, S.-S.
- Hidden Populations, Online Purposive Sampling, and External Validity: Taking off the Blindfold; 2015; Barrat, M. J.; Ferris, J. A.; Lenton, S.
- Impact of raising awareness of respondents on the measurement quality in a web survey; 2015; Revilla, M.
- Open narrative questions in PC and smartphones: is the device playing a role?; 2015; Revilla, M.; Ochoa, C.
- Can we augment web responses with telephonic responses to a graduate destination survey?; 2015; du Toit, J.
- Comparison of Internet and interview survey modes when estimating willingness to pay using choice experiments...; 2015; Mjelde, J. W.; Kim, T. K.; Lee, C.-K.
- Suggestions for international research using electronic surveys; 2015; e Silva, S. C.; Duarte, P.
- Effects of Forced Responses and Question Display Styles on Web Survey Response Rates; 2015; Tangmanee, C.; Niruttinanon, P.
- Using Internet to Recruit Immigrants with Language and Culture Barriers for Tobacco and Alcohol Use...; 2015; Carlini, B. H.; Safioti, L.; Rue, T. C.; Miles, L.
- Recruiting Online: Lessons From a Longitudinal Survey of Contraception and Pregnancy Intentions of Young...; 2015; Harris, M. L.; Loxton, D.; Wigginton, B.; Lucke, J. C.
- Recruiting for addiction research via Facebook; 2015; Thornton, L. K.; Harris, K.; Baker, A.; Johnson, M.; Kay-Lambkin, F. J.
- Can a non-probabilistic online panel achieve question quality similar to that of the European Social...; 2015; Revilla, M.; Saris, W. E.; Loewe, G.; Ochoa, C.
- The quality of responses to grid questions as used in Web questionnaires (compared with paper questionnaires...; 2015; Dominguez, J. A.; de Rada, V. D.
- What are the Links in a Web Survey Among Response Time, Quality, and Auto-Evaluation of the Efforts...; 2015; Revilla, M.; Ochoa, C.
- Impact of mixed modes on measurement errors and estimates of change in panel data; 2015; Cernat, A.
- Probabilistic Web Survey Methodology in Education Centers: An Example in Spanish Schools; 2015; Tapia, J. A., Menendez, J. A.
- Offline recruiting of young people for an online survey - what affects response rates; 2015; Zeglovits, E.
- Smartphones @work; 2015; Bittman, M.
- Comparison of different mixed-mode and face - to face surveys - response rates and costs; 2015; Ainsaar, M.; Hendrikson, R.
- Online Eye-Tracking of Dynamic Advertising Content in (Mobile) Web-Surveys; 2015; Berger, S.
- Predicting Response Times in Web Surveys; 2015; Wenz, A.