Web Survey Bibliography
OBJECTIVES To describe a novel, low-cost, online health-related quality of life (HRQOL) survey that allows for automated follow-up and convenient access for patients in geographically diverse locations. Clinicians and investigators have been encouraged to use validated HRQOL instruments when reporting outcomes after radical prostatectomy.
METHODS The institutional review board approved our protocol and the use of a secure web site (http://www.SurveyMonkey.com) to send patients a collection of validated postprostatectomy HRQOL instruments by electronic mail. To assess compliance with the electronic mail format, a pilot study of cross-sectional surveys was sent to patients who presented for follow-up after robotic-assisted laparoscopic prostatectomy. The response data were transmitted in secure fashion in compliance with the Health Insurance Portability and Accountability Act.
RESULTS After providing written informed consent, 514 patients who presented for follow-up after robotic-assisted laparoscopic prostatectomy from March 2010 to February 2011 were sent the online survey. A total of 293 patients (57%) responded, with an average age of 60 years and a median interval from surgery of 12 months. Of the respondents, 75% completed the survey within 4 days of receiving the electronic mail, with a median completion time of 15 minutes. The total survey administration costs were limited to the web site's $200 annual fee-for-service.
CONCLUSIONS An online survey can be a low-cost, efficient, and confidential modality for assessing validated HRQOL outcomes in patients who undergo treatment of localized prostate cancer. This method could be especially useful for those who cannot return for follow-up because of geographic reasons.
ScienceDirect (abstract) / (full text)
Web Survey Bibliography (2070)
- Measurement error calibration in mixed-mode sample surveys; 2013; Buelens, B., van der Brakel, J.
- Optimal Resource Allocation in Adaptive Survey Designs; 2013; Calinescu, M.
- MOTUS: Modular online Time-Use Survey; 2013; Joeri, M., Ignace, G., van Tienoven, T. P., Djiwo, W.
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.
- Should the third reminder be sent? The role of survey response timing on web survey results; 2013; Rao, K., Pennington, J.
- Factors affecting the decision to participate in the internet option for the 2010 Census of Korea ; 2013; Lee, E., Kim, S.
- Web panel surveys – can they be designed and used in a scientifically sound way?; 2013; Svensson , J.
- A standard with quality indicators for web panel surveys: a Swedish example; 2013; Nyfjaell, M.
- Web Panels for Official Statistics? ; 2013; Bethlehem, J., Cobben, F.
- Assessing Nonresponse Bias in the Green Technologies and Practices Survey; 2013; Meekins, B., Sverchkov, M., Stang, S.
- Using an Item Response Theory Approach to Measure Survey Mode of Administration Effects: Analysis of...; 2013; Mariano, L. T., Elliott, M. N.
- The Role of Mode Preference Questions in Predicting Mode-Specific Response Propensities; 2013; Lynn, P., Kaminska, O.
- Model-Based Mode of Data Collection Switching from Internet to Mail in the American Community Survey; 2013; Chesnut, J.
- Estimating Mode Effects Without Bias: A Randomized Experiment to Compare Mode Effects Between Face-to...; 2013; Rivers, D., Vavreck, L.
- Lotteries and study results in market research online panels; 2013; Goeritz, A.; Luthe, S. C.
- Respondent Rewards: Money for Nothing?; 2013; Martin, P.
- Did I Do That? How Trap Questions Can Hurt Data Quality; 2013; Phillips, K.
- Web Panel Representativeness; 2013; Bianchi, A., Biffignandi, S.
- Can creative web survey questionnaire design improve the response quality?; 2013; Angelovska, J., Mavrikiou, P. M.
- Use of mobile devices to answer online surveys: implications for research; 2013; Cunningham, J. A., Neighbors, C., Bertholet, N., Hendershot, C. S.
- Enhancing student engagement in student experience surveys: a mixed methods study; 2013; Webber, M., Lynch, S., Oluku, J.
- Where Am I? A Meta-Analysis of Experiments on the Effects of Progress Indicators for Web Surveys; 2013; Villar, A., Callegaro, M., Yang, Y.
- Field Lessons From the Delivery of Questionnaires to Young Adults Using Mobile Phones; 2013; van Heerden, A. C., Norris, S. A., Tollman, S. M., Stein, A. D., Richter, L. M.
- Attitudes of Nebraska Residents on Nebraska Water Management; 2013; Dillman, D. A., Edwards, M. L.
- On the Impact of Response Patterns on Survey Estimates from Access Panels; 2013; Enderle, T., Muennich, R., Bruch, C.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- Unit Nonresponse and Weighting Adjustments: A Critical Review; 2013; Brick, J. M.
- Encouraging Record Use For Financial Asset Questions In A Web Survey; 2013; Couper, M. P., Ofstedal, M. B., Lee, S.
- Can Online Surveys Substitute Traditional Modes? An Error-Based Comparison of Online and On-Site Tourism...; 2013; Kim, N., Yu, X., Schwartz, Z.
- How incentives affect web-based survey response rates of athletic program donors; 2013; Alvarado, G., Callison, C.
- Investigating the Relationship among Prepaid Token Incentives, Response Rates, and Nonresponse Bias...; 2013; Parsons, N. L., Manierre, M. J.
- Web-Based Versus Traditional Paper Questionnaires: A Mixed-Mode Survey With a Nordic Perspective; 2013; Hohwue, L., Lyshol, H., Gissler, M., Hrafn Jonsson, S., Petzold, M., Obel, C.
- Going online with a face-to-face household panel: initial results from an experiment on the Understanding...; 2013; Jaeckle, A., Lynn, P., Burton, J.
- Targeted response inducement strategies on longitudinal surveys; 2013; Lynn, P.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.
- Developing a New Mixed-Mode Methodology For a Provincial Park Camper Survey in British Columbia; 2013; Dyck, B. W.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- Comparative analysis of data from web and face-to-face surveys. A case study on e-commerce in young...; 2013; Cappello, C., Pellegrino, D.
- Specific mixed-mode methodologies to include sensory disabled people in quantitative surveys; 2013; Sebastien, F., Marc, J., Patrick, I.
- Investigating the Bias of Alternative Statistical Inference Methods in Sequential Mixed-Mode Surveys; 2013; Suzer-Gurtekin, Z., Heeringa, S. G., Valliant, R. L.
- Random versus Systematic Error in a Mixed Mode Online-Telephone Survey; 2013; Hox, J., Scherpenzeel, A., Boeve, A., Boeve, A., de Leeuw, E. D.
- Online Survey Participation via Mobile Devices: implications for nonresponse; 2013; Poggio, T., Bosnjak, M.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- The Attention Span of a Goldfish: Impacts of Survey Mobilization on Respondents ; 2013; Luck, K.
- Web questionnaires in official population surveys: Do's and don'ts First experiments and impacts...; 2013; Blanke, K.
- Effects of Sponsorship on Response: Mixed-Mode Web and Mail Surveying ; 2013; Edwards, M. L., Dillman, D. A., Smyth, J.
- Does left still feel right? The optimal position of answer boxes in Web surveys - revisited; 2013; Lenzner, T., Kaczmirek, L.,Galesic, M.