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 - USA (2403)
- The Gamification of Marketing Researc; 2013; Donato, P., Link, M. W.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Best of Both Worlds? Can we make convenience samples representative?; 2013; Doe, P.
- Multimode, Global Scale Usage: Understanding respondent scale usage across borders and devices; 2013; Pettit, F. A., Courtright, M.
- Why Big Data is a Small Idea…and Why You Shouldn’t Worry So Much; 2013; Needel, S.
- Service with an e-smile: Employee authenticity and customer use of web-based support services; 2013; Turel, O., Connelly, C. E., Fisk, G. M.
- 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.
- Mode effect analysis and adjustment in a split-sample mixed-mode Web/CATI survey; 2013; Kolenikov, S., Kennedy, C.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Mobilizing your Branded Panel: Panel data quality during the smartphone transition; 2013; Kugel, C., Brien, D., Blechman, J.
- Computers, Tablet & Smart Phones: The Truth about Web‐based Surveys; 2013; Merle, P., Gearhart, S., Craig, C., Rahimi, M., Brooks, M. E., Vandyke, M.
- An Examination of the Relationship Between Pretest Method Results and Data Quality; 2013; Maitland, A.
- Associations Between Interactional Indicators of Problematic Questions and Systems for Coding Question...; 2013; Dykema, J., Schaeffer, N. C., Garbarski, D.
- Investigating the Bias of Alternative Statistical Inference Methods in Sequential Mixed-Mode Surveys; 2013; Suzer-Gurtekin, Z., Heeringa, S. G., Valliant, R. L.
- The Attention Span of a Goldfish: Impacts of Survey Mobilization on Respondents ; 2013; Luck, K.
- Adding Observation to Copy Testing with Kids; 2013; Hurley, B., Salo, M.
- Gamified Surveys: Journey Into Product Development; 2013; Adamou, B.
- Phish Rising: How Internet Criminals are Undermining the Viability of Online Survey Research…and...; 2013; Kunovic, K.
- The State of Technology in Market Research; 2013; Macer, T.
- Historic Resource Surveys and the Internet; 2013; The Center for Historic Architecture University of Houston Gerald D. Hines College of Architecture
- Effects of Sponsorship on Response: Mixed-Mode Web and Mail Surveying ; 2013; Edwards, M. L., Dillman, D. A., Smyth, J.
- Designing a Pilot to Introduce Web Collection in the UK Labour Force Survey; 2013; Merad, S.
- Data Collection Method Comparisons for the 2011 Fishing, Hunting, and Wildlife-Associated Recreation...; 2013; Herbstritt, M., Hornick, D.
- A mixed methods approach to investigate how Cognitive Interviewing findings can improve the validity...; 2013; Padilla, J. L., Miller, K., Loeb, M.
- Multiple Group Confirmatory and Exploratory Factor Analysis: Exploring Measurement Invariance by Rotational...; 2013; Asparouhov, T.
- BSEM Measurement Invariance Analysis; 2013; Muthen, B. O.
- ReCal OIR: Ordinal, Interval, and Ratio Intercoder Reliability as a Web Service; 2013; Freelon, D. G.
- Classifying Mouse Movements and Providing Help in Web Surveys; 2013; Horwitz, R.
- Video Interviewing: An Exploration of the Feasibility as a Mode of Survey Application; 2013; Jeannis, M., Terry, T. L., Heman-Ackah, R., Price, M.
- Matching Data Collection Method to Purpose: In the Moment Data Collection with Mobile Devices for Occasioned...; 2013; Shea, C., Roberts, M., Johnson, E. P., Hadlock, W.
- Filling the Void: Gaining a Better Understanding of Tablet-based Surveys; 2013; Wells, T., Bailey, J., Link, M. W.
- Old versus New: The Comparative Efficiency of Mail and Internet Surveys of State Legislators.; 2013; Fisher, S. H., Herrick, R.
- Mail and Web-Based Survey Administration: A Case Study With Recreational Users of Virginia's Wildlife...; 2013; Carrozzino-Lyon, A. L., McMullin, S. L., Parkhurst, J. A.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Measurement Invariance; 2013; Muthen, B. O., Oberski, D., Klausch, L. T., Asparouhov, T.
- Comparing Web-based with Mail Survey Administration of the Consumer Assessment of Healthcare Providers...; 2013; Bergeson , S. C., Gray, J., Ehrmantraut, L. A., Hays, R. D.
- Data Collection in Sociolinguistics: Methods and Applications; 2013; Mallinson, C., Childs, B., Van Herk, G.
- Cultural Challenges in Online Survey Data Collection; 2013; Baron, N. S.
- Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison; 2013; Gao, Z., House, L., Jing, X.
- Self-Rated Health Assessed by Web Versus Mail Modes in a Mixed Mode Survey: The Digital Divide Effect...; 2013; Shim, J.-M., Shin, E., Johnson, T. P.
- Online Survey Design and Development: A Janus-Faced Approach; 2013; Lauer, C., McLeod, M., Blythe, S.
- Survey Sidekick: Learning & designing scientifically sound surveys; 2013; Hsiao, I.-H., Malhotra, M., Joo, J., Chae, H. S., Natriello, G.
- Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction; 2013; Zhang, C.
- The Handbook of Questionnaire Design; 2013; Krosnick, J. A., Fabrigar, L. R.
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- Usability and Accessibility Guidelines for Web Sites and Web Surveys ; 2013; Ashenfelter, K. T.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- When We Do Not Know the Difference – the Level of DK in Different Question Formats and Different...; 2013; Schwarzer, S., Zeglovits, E., Connor, D. S.