Web Survey Bibliography
Access to survey data on the internet has over the last half decade become increasingly more common. One might even say the internet has become the primary means of dissemination of survey data. Large cross national surveys like the International Social Survey Programme (ISSP), the European Social Survey (ESS), the Comparative Study of Electoral Systems (CSES), the European Value Study (EVS) and the World Value Survey (WVS) all make their data available over the Internet.
Software systems like Survey Documentation & Analysis (SDA), Nesstar, JD-systems, The Dataverse Net- work and others are increasingly used by data providers, data archives and others to oer not only access to survey data but also online analysis and metadata.
For the social science data archives these software systems oers great opportunities to make data (not only survey data) directly accessible for the research community. At the same time it is also true that that dissemination of data over the internet poses some challenges on the distributors. For one the need for high quality and readily available documentation becomes increasingly important when the users are no longer in direct communication with the data providers.
With the rapid developments in the information technologies and the increasing number of possibilities the internet oers to communicate, cooperate and share work, it is also more challenging (but also more fun) to plan for the future. How do data providers meet these challenges? What do the users want?
In this session we will rst have a closer look at two of the online distribution and analysis tools, the SDA and Nesstar and what they can oer. Secondly some of the experiences GESIS in Cologne has had with oering online access to survey data will be presented.
Looking more to the future, the activities that are being undertaken to upgrade the research infrastructure of the Council of European Social Science Data Archives (CESSDA) will be also be presented.
In addition, presentations on more specialised tools and resources will cover topics like post harmonisation, contextual data, and automated disclosure protection.
Conference homepage (abstract)
Web survey bibliography - European survey research associaton conference 2009, ESRA, Warsaw (31)
- An experimental mixed mode design on a general population survey ; 2009; Eva, G.
- Presentation of a Single Item versus a Grid: Effects on the Vitality and Mental Health Scales of the...; 2009; Callegaro, M., Shand-Lubbers, J., Dennis, J. M.
- Survey Research in Virtual Worlds: Second Life R as a Research Platform; 2009; Hill, C., Dean, E.
- Elderly in an Internet panel, the quality of the data; 2009; Vis, C.
- Computer-Assisted Audio Recording (CARI): Repurposing a Tool for Evaluating Comparative Instrument Design...; 2009; Edwards, B., Hicks, W., Tourangeau, K., Harris-Kojetin, L., Moss, A.
- Do online translated questionnaires result in higher response rates for patient surveys?; 2009; Boyd, J., Davis, A.
- A comparison of two mixed mode designs: cati-capi and web-cati-capi; 2009; Beukenhorst, D., Wetzels, W.
- Comparison between Liss panel (web) and ESS data (face to face); 2009; Revilla, M., Saris, W. E.
- Is a cell phone really a personal device? Results from the first wave of a mobile phone panel on sharing...; 2009; Fuchs, M., Busse, B.
- Mobile Phone Surveys in Germany – Response rates and response behaviour; 2009; Hader, S., Schneiderat, G.
- Ethical Considerations in the Use of Paradata in Web Surveys; 2009; Couper, M. P., Singer, E.
- Interviewer voice characteristics and productivity in telephone surveys; 2009; Best, H., Bauer, G., Steinkopf, L.
- Standardized recall aids for online life course surveys; 2009; Glasner, T.
- The impact of forgiving wording and question context on social desirability bias in sensitive surveys...; 2009; Naher, A.- F., Krumpal, I.
- Interactive feedback can improve accuracy of responses in web surveys; 2009; Conrad, F. G., Couper, M. P., Tourangeau, R., Galesic, M.
- The influence of the field time on data quality in list-based Web surveys; 2009; Goeritz, A., Stieger, S.
- Online Analysis and Programmed Disclosure Risk Protection: New Access to Restricted-use Microdata; 2009; McFarland O’Rourke, J., Rush, S. H., Maxwell, C.
- Using the Available On-line Secondary Data in Education and Research Practice; 2009; Perek-Bialas, J.
- Nice portal! But where is the data . . . ? - Experiences of a data archive with offering online access...; 2009; Mauer, R.
- Making Use of Online Survey Documentation & Analysis; 2009; Terwey, M.
- Access to Survey Data on the Internet; 2009; Kolsrud, K.
- Individual Follow-up of the Target Population: the Plural Strategies of a Web Survey; 2009; Markou, E., de Cledat, B., Razafindratsima, N., Laurent, R., Issenhuth, P.
- The influence of selective nonresponse in the analysis of levels of annoyance and sleep disturbance...; 2009; Breugelmans, O.
- Motivating different groups: questionnaire topic and participation rates; 2009; Marchand, M.
- The Internet sample; 2009; Getka-Wilczynska, E.
- Selection bias in Internet panels: challenge or dead blow?; 2009; Lensvelt-Mulders, G. J.
- Presentation of WEBSURVNET; 2009; de Pedraza, P., Steinmetz, S., Tijdens, K.
- Telephone Survey and political behaviour estimates in 22 European countries: Evaluating the need for...; 2009; Hufken, V.
- Self-Selected Samples in Customer Satisfaction Surveys; 2009; Nicolini, G., Dalla Valle, L.
- What to do if Probability Sampling is Impossible in a Web Survey?; 2009; Markou, E., Razafindratsima, N., de Cledat, B., Issenhuth, P., Laurent, R.
- New Challenges in Sampling: Introduction; 2009; Laaksonen, S.