Web Survey Bibliography
Beginning in 1999, a web-based metadata and data repository we call the “open research system” (ORS) was designed and built to assist geographically distributed scientific research teams. The purpose of this innovation was to promote the open sharing of data within and across organizational lines and across geographic distances. As the use of the system continued, end users and group administrators requested the development of a second, Intranet-based system with similar functionality. After three years of operation, a survey was conducted of users of the system to understand why some users and research groups appeared to utilize the two systems more than others. From this research we found that some barriers to use include: (1) mismatch of system functionality to user or group needs; (2) willingness to share with an internal group by Intranet but not with the world by Internet; and (3) resistance to entering metadata because of workplace habits. This experience has also taught us that with respect to web-based metadata and data repositories there is a difference between long-term and short-term research projects in their need to establish good metadata and data storage procedures. Moreover, some time is required for researchers to change from short-term to long-term project thinking. It is also important for organizations or managers of such research groups to reflect on established incentives and penalties that either encourage or discourage appropriate use of metadata in filing procedures. We conclude with a discussion of possible improvements that will be made to the system in the coming years, with an emphasis on the emerging phenomenon of “open content” (OC) collaboration that is being modeled after Internet-based collaboration in “open source” (OS) programming. This development will require online systems like ORS, and the OS/OC approach has the potential to evolve into no less than a new paradigm for how cross-organizational (in fact, global) scientific research collaborations are undertaken in the future.
ScienceDirect (full text)
Web Survey Bibliography - Online measurement (845)
- Effects of Post-Incentives on Response Rates, Costs, and Response Quality in a Web Survey of College...; 2011; Stevenson, J., Dykema, J., Cyffka, K., Klein, L., Goldrick-Rab, S.
- Observed Differences in the Placement and Wording of Neutral Response Options in Web Surveys: An Experiment...; 2011; Walton, L., Cobb, C. L., DiSogra, C.
- Mixed Methods - Analyzing Open-Ended Comments in a Quantitative Employee Survey; 2011; Lawton, L., Broege, N.
- Causes of survey incompletes: Why panelists say they abandon surveys; 2011; Henning, J.
- Beyond data stability: Rising above quality concerns; 2011
- Clarifying Survey Questions; 2011; Redline, C. D.
- The place for mobile research? Multi-mode studies of major cultural events; 2011; Conry, S., Atkinson, S.
- How far is too far: Traditional, flash and gamification interfaces, and implications for the future...; 2011; Puleston, J., Malinoff, B.
- The Evolution of Edits in the Canadian Census of Population Online Questionnaires; 2011; Laroche, D.
- The Main Innovations of Data Editing and Imputation for the 2010 Italian Agricultural Census ; 2011; Bianchi, G., Lipsi, R. M., Ruocco, G., Salvatore, M. A.
- Wages worldwide results and measurement issues from the multi-country. WageIndicator web-survey ; 2011; van Klaveren, M., Tijdens, K.
- A Methodological Inference towards the Quantification of Technological Frames ; 2011; Cachia, E., Camilleri, P.
- 2nd WEBDATANET Meeting Amsterdam. Global Data Collecting; 2011; van Beveren, I.
- DIME-SHS; 2011; Lesnard, L.
- Calibrating Non-Probability Internet Samples with Probability Samples Using Early Adopter Characteristics...; 2011; DiSogra, C., Cobb, C. L., Chan, E., Dennis, J. M.
- Web Survey Methodology: Interface Design, Sampling and Statistical Inference; 2011; Couper, M. P.
- Dropout rates during completion of an occupation search tree in web-surveys; 2011; Tijdens, K.
- Ignoring the compatibility of online questionnaires may bias the psychological composition of your sample...; 2011; Funke, F.
- New data sources for statistics: Experiences at Statistics Netherlands; 2011; Daas, P., ten Bosch, O., de Blois, C., Hoekstra, R., Roos, M.
- Further research on the design of complex grids; 2011; Couper, M. P., Tourangeau, R.Conrad, F. G., Zhang, C.
- Interactive carrots and sticks to improve data quality; 2011; Conrad, F. G., Tourangeau, R., Couper, M. P., Zhang, C.
- Optimum Blending of Panels and Social Network Respondents; 2011; Gittelman, S. H., Portner, A.
- Making the move to mobile Apps-based research: A case study in the evaluation and implementation of...; 2011; Graham, P., Conry, S.
- Once a 'Bad' Respondent, Always a 'Bad' Respondent - How to Identify and Exclude '...; 2011; Suresh, N.
- Dealing with the Effects of Panelist Experience; 2011; Burdein, I.
- Results from Real-Time Data Collection (RTD) vs. Data from Traditional Panelists: Is it valid to combine...; 2011; Pingitore, G., Witten, S., Walker, A., Seldin, D., Ellrodt, R., Muns, N., Parks, C., Serrato, C.
- Widening the Net: A Comparison of Online Intercept and Access Panel Sampling; 2011; Bakken, D. G., Nawani, R.
- Does choice of vendor make a difference in respondent validation and how does it impact the overall...; 2011; Courtright, M., Miller, C.
- Probably the Best Bias in the World?; 2011; Dent, T.
- The development of the KubeMatrix™ as a mobile app for Market Research Online Communities; 2011; Birks, D. F., Wilson, D.
- The Research-Data-Centre in Research-Data-Centre Approach: A First Step Towards Decentralised International...; 2011; Bender, S., Heining, J.
- First Equals Most Important? Order Effects in Vignette- Based Measurement; 2011; Auspurg, K., Jaeckle, A.
- Using Online Surveys to Conduct Jury Research; 2011; Edelman, B.
- The “Frequency Divide” on Web Surveys: Opinions, Behaviours and Demographics Differences...; 2011; Reis, E., Vicente, P.
- Researching Personal Information on the Public Web - Methods and Ethics; 2011; Wilkinson, D., Thelwall, M.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- The influence of Social Support and Personal Networks on Doctoral Student Performance; 2011; Hlebec, V., Kogovsek, T., Ferligoj, A.
- From Busy Bees to Science Geeks and Party Animals: A Typology of Slovenian Doctoral Students; 2011; Hlebec, V., Kogovsek, T., Ferligoj, A.
- PhD Students’ Research Group Social Capital in Two Countries: A Clustering Approach with Duocentred...; 2011; Coenders, G., Coromina, L., Ferligoj, A., Guia, J.
- Preface; 2011; Coenders, G., Doreian, P.
- Preferences, intentions, and expectation violations: A large-scale experiment with a representative...; 2011; Bellemare. C., Kroeger, S., van Soest, A.
- Twitter mood predicts the stock market.; 2011; Bollen, J., Mao, H., Zeng, X.-J.
- Exploring Health-related Experiences and Access to Care: Differences between Online and Telephone Survey...; 2011; Doty, M. M., Peugh, J., Shand-Lubbers, J.
- The Impact of “Forgiving” Introductions on the Reporting of Sensitive Behavior in Surveys...; 2011; Peter, J., Valkenburg, P. M.
- Surveying the General Public over the Internet Using Address-Based Sampling and Mail Contact Procedures...; 2011; Messer, B. L., Dillman, D. A.
- The power of qualitative research in the era of social media; 2011; Branthwaite, A., Patterson, S.
- E-Census 2011 Portugal: implementation and results of the Pilot Survey; 2011; Vicente, P., Rosa, A., Reis, E.
- Sampling v. Scale: An investigation the tension between convenience sampling, response rates, probability...; 2011; Garland, P.
- Using Amazon's Mechanical Turk for the recruitment of participants in Internet-based research; 2011; Reips, U. -D., Buffardi, L., Kuhlmann, T.
- Should we use the progress bar in online surveys? A meta-analysis of experiments manipulating progress...; 2011; Callegaro, M., Yang, Y., Villar, A.

