Selection Bias in Web Surveys
Centraal Bureau voor de Statistiek · Protestant Theological University
Abstract
Summary At first sight, web surveys seem to be an interesting and attractive means of data collection. They provide simple, cheap, and fast access to a large group of potential respondents. However, web surveys are not without methodological problems. Specific groups in the populations are under‐represented because they have less access to Internet. Furthermore, recruitment of respondents is often based on self‐selection. Both under‐coverage and self‐selection may lead to biased estimates. This paper describes these methodological problems. It also explores the effect of various correction techniques (adjustment weighting and use of reference surveys). This all leads to the question whether properly design web…
Citation impact
- FWCI
- 26.72
- Percentile
- 100%
- References
- 39
Authors
1Topics & keywords
- Selection (genetic algorithm)
- Weighting
- Computer science
- The Internet
- Data collection
- Selection bias
- Data science
- Web application