Web Survey Bibliography
Paradatathe data captured by computerized systems during the process of data collectionare increasingly being used in Web surveys. Web paradata includes characteristics of a respondents browser captured from the server logs (server-side paradata) and respondents behaviour on each Web page as they answer the survey (client-side paradata). The latter are typically collected by embedding JavaScript code in survey instruments, and include such measures as response latencies (e.g., time to rst click), order of responding, changing of answers, keystrokes, mouse movements, and the like. Initially researchers collected paradata to improve the design or performance of the instruments; increasingly they are being used to understand or even control respondent behaviour. This raises questions about whether and how survey respondents should be informed about the collection of paradata.
We conducted a vignette-based experiment in the probability-based online LISS panel developed by the University of Tilburg. Respondents were exposed to a description of a hypothetical survey in which we varied 1) whether we mentioned the collection of paradata and how much information was provided, 2) the topic of the survey (sensitive or not) and the sponsor of the survey (government versus commercial). A total of 5,198 responded to the vignette and answered a set of background measures in a prior wave.
Respondents were signi cantly more willing to participate in the hypothetical survey in the condition with no mention of paradata than in any of the three conditions in which paradata was mentioned. Willingness to participate (WTP) also varied by survey topic and sponsor. Among those who expressed WTP in the survey, there was also variation in willingness to permit capture of the paradata. In this paper we examine the sociodemographic, behavioural, and attitudinal correlates of WTP under dierent paradata disclosure scenarios, and discuss the implications for informing respondents about the capture and use of paradata in Web surveys.
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.