Web Survey Bibliography
Background: Monitoring medical decisions at the end of life has become an important issue in many societies. Built on previous European experiences, the survey and project Fin de Vie en France (“End of Life in France,” or EOLF) was conducted in 2010 to provide an overview of medical end-of-life decisions in France.
Objective: To describe the methodology of EOLF and evaluate the effects of design innovations on data quality.
Methods: EOLF used a mixed-mode data collection strategy (paper and Internet) along with follow-up campaigns that employed various contact modes (paper and telephone), all of which were gathered from various institutions (research team, hospital, and medical authorities at the regional level). A telephone nonresponse survey was also used. Through descriptive statistics and multivariate logistic regressions, these innovations were assessed in terms of their effects on the response rate, quality of the sample, and differences between Web-based and paper questionnaires.
Results: The participation rate was 40.0% (n=5217). The respondent sample was very close to the sampling frame. The Web-based questionnaires represented only 26.8% of the questionnaires, and the Web-based secured procedure led to limitations in data management. The follow-up campaigns had a strong effect on participation, especially for paper questionnaires. With higher participation rates (63.21% and 63.74%), the telephone follow-up and nonresponse surveys showed that only a very low proportion of physicians refused to participate because of the topic or the absence of financial incentive. A multivariate analysis showed that physicians who answered on the Internet reported less medication to hasten death, and that they more often took no medical decisions in the end-of-life process.
Web survey bibliography (210)
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?; 2016; McLauchlan, C.; Schonlau, M.
- 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...
- A look into the challenges of mixed-mode surveys; 2016; Klausch, L. T.
- Unintentional Mobile Respondents in Official Statis tics and Their Effect on Data Quality ; 2016; Bakker, J.
- Tracking the Representativeness of an Online Panel Over Time ; 2016; Klausch, L. T.; Scherpenzeel, A.
- Detecting careless respondents in web-based questionnaires: Which method to use?; 2016; Niesen, A. S. M.; Meijer, R. R.; Tendeiro, J. N.
- Establishing the accuracy of online panels for survey research; 2016; Bruggen, E.; van den Brakel, J.; Krosnick, J. A.
- Surveying End-of-Life Medical Decisions in France: Evaluation of an Innovative Mixed-Mode Data Collection...; 2016; Legleye, S; Pennec, S.; Monnier, A.; Stephan, A.; Brouard, N.; Bilsen, J.; Cohen, J.
- Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force...; 2016; Calinescu, M.; Schouten, B.
- Reducing Underreports of Behaviors in Retrospective Surveys: The Effects of Three Different Strategies...; 2016; Lugtig, P. J.; Glasner, T.; Boeve, A.
- Sunday shopping – The case of three surveys; 2016; Bethlehem, J.
- Predictive inference for non-probability samples: a simulation study ; 2016; Buelens, B.; Burger, J.; van den Brakel, J.
- Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias?; 2016; Eckman, S.
- Internet Panels, Professional Respondents, and Data Quality; 2015; Matthijsse, S.; De Leeuw, E. D.; Hox, J.
- Effect of Web-Based Versus Paper-Based Questionnaires and Follow-Up Strategies on Participation Rates...; 2015; Kilsdonk, E.; van den Heuvel-Eibrink, M. M.; van Dulmen-den Broeder, E.; van der Pal, H. J. H.; van...
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Self-identification of occupation in web surveys: requirements for search trees and look-up tables ; 2015; Tijdens, K. G.
- Tailored fieldwork design to increase representative household survey response: an experiment in the...; 2015; Luiten, A.; Schouten, B.
- Calendar Instruments in Retrospective Web Surveys; 2015; Glasner, T.; van der Vaart, W.; Dijkstra, W.
- Validating self-reported mobile phone use in adults using a newly developed smartphone application; 2015; Goedhart, G., Kromhout, H., Wiart, J., Vermeulen, R.
- Face-to-Face or Sequential Mixed-Mode Surveys Among Non-Western Minorities in the Netherlands: The Effect...; 2015; Kappelhof, J.
- Finding Item Nonresponse Patterns: Three Internet Survey Experiments Into the Effects of Nonresponse...; 2015; Van De Maat, J.
- The effectiveness of incentives on recruitment and retention rates: an experiment in a web survey; 2015; Mulder, J.; Douhou, S.
- Using WhatsApp as a Survey Tool; 2015; Ongena, Y. P.; Haan, M.
- The Effects of Adding a Mobile-Compatible Design to the American Life Panel; 2015; Toepoel, V.; Lugtig, P. J.; Amin, A.
- Adapting Grid Questions for Mobile Devices; 2015; de Bruijne, M.; Das, M.; van Soest, A.; Wijnant, A.
- Correlates of early and late responses to surveys in an online panel; 2015; Douhou, S.; Vis, C.
- Higher Item Nonresponse Rates Caused by Slider Scales in Web Surveys; 2015; Toepoel, V.; Funke, F.
- Coding Surveys on their Item Characteristics: Reliability Diagnostics; 2015; Bais, F.; Schouten, B.; Toepoel, V.
- Selection error in single- and mixed mode surveys of the Dutch general population; 2015; Hox, J., Klausch, L. T., Schouten, B.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- 640 Current trends in management of high-risk prostate cancer in Europe: Results of a web-based survey...; 2014; Briganti, A., Isbarn, H., Ost, P., Ploussard, G., Sooriakumaran, P., Van Den Bergh, R.C.N., Van Oort...
- Query on Data Collection for Social Surveys; 2014; Blanke, K., Luiten, A.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Quality of physical therapy from a patient's perspective; factor analysis on web-based survey data...; 2014; Scholte, M., Calsbeek, H., Nijhuis-van der Sanden, M. W. G., Braspenning, J.
- Mining “Big Data” using Big Data Services ; 2014; Reips, U.-D., Matzat, U.
- Barriers and facilitators for participation in a preventive pelvic floor muscle training program from...; 2014; Albers-Heitner, P., Moossdorff-Steinhauser, H., Weemhoff, M., Nieman, F., Berghmans, B.
- Informing panel members about study results; 2014; Scherpenzeel, A., Toepoel, V.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Evaluating mixed-mode redesign strategies against benchmark surveys: the case of the Crime Victimization...; 2014; Klausch, L. T., Hox, J., Schouten, B.
- The quality of ego-centered social network data in web surveys: experiments with a visual elicitation...; 2014; Marcin, B., Matzat, U., Snijders, C.
- Measuring the very long, fuzzy tail in the occupational distribution in web-surveys; 2014; Tijdens, K. G.
- Social desirability is the same in offline, online, and paper surveys: A meta-analysis; 2014; Dodou, D., de Winter J. C. F.
- The impact of contact effort on mode-specific selection and measurement bias; 2014; Schouten, B., van der Laan, J., Cobben, F.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.