Web Survey Bibliography
Statistics Netherlands conducts many surveys of the general population. Till a few years ago these were conducted in one data collection mode, some like (the rst round of) the Labour Force Survey were CAPI surveys, others were CATI. For both types sample frames were available. The last decades CAPI surveys su er from ever increasing non-response rates and the quality of CATI surveys is threatened because of growing undercoverage caused by unlisted numbers.
Besides these non-response and undercoverage problems rapidly increasing costs of especially CAPI surveys prompt to look for new ways of collecting data. Single mode web surveys do not qualify because of undercoverage, self selection bias and very low response rates. Theoretically mixing modes of data collection (here de ned as using (almost) the same questionnaire in di erent modes) can solve the undercoverage problems, can raise response rates by approaching respondents in their preferred mode and reduce costs by collecting part of the data in cheap modes.
Several experiments have been conducted by Statistics Netherlands to investigate how to design large-scale surveys that use di erent data collection modes. A design that is extensively tested is approaching respondents with an introduction letter asking them to log in on a web site where they can ll in a questionnaire. Non-response is then approached by telephone if a telephone number can be found and approached by a eld interviewer if no number can be traced. Another mixed mode design uses only two modes: CAPI and CATI. Respondents are approached by phone if they have a listed number. If not, they are approached by CAPI.
Both designs have advantages and disadvantages. The rst uses three modes and will show greater mode eff ects, especially because in one mode no interviewer is present. The absence of an interviewer on the other hand reduces costs enormously. The CATI-CAPI design can be expected to have smaller mode e ects, but is more expensive and will become still more expensive if the number of unlisted numbers will continue to increase in future. In our paper we discuss these advantages and disadvantages based on the experiments that were carried out.
Conference homepage (abstract)
Web Survey Bibliography - European survey research associaton conference 2009, ESRA, Warsaw (36)
- 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.
- Increasing Confidence in Survey Estimates with Visual Analogue Scales; 2009; Funke, F., Reips, U. -D., Thomas, R. K.
- Effectiveness of incentives in mixed-mode systems: An evaluation of errors & costs; 2009; Lozar Manfreda, K., Berzelak, N., Vehovar, V.
- The influence of the field time on data quality in list-based Web surveys; 2009; Goeritz, A., Stieger, S.
- Twisting Rating Scales: Horizontal versus Vertical Visual Analogue Scales versus Categorical Scales...; 2009; Funke, F., Reips, U. -D.
- 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.
- How to cover the general public by Internet interviewing; 2009; Das, M.
- The Internet sample; 2009; Getka-Wilczynska, E.
- Comparing different weighting procedures for volunteer online panels - Lessons to be learned from German...; 2009; Steinmetz, S., Tijdens, K., de Pedraza, P.
- 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.