articleInternational Statistical ReviewJun 18, 2010BRONZE OA

Selection Bias in Web Surveys

Centraal Bureau voor de Statistiek · Protestant Theological University

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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…

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1,206
total citations
FWCI
26.72
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100%
References
39
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Authors

1

Topics & keywords

Keywords
  • Selection (genetic algorithm)
  • Weighting
  • Computer science
  • The Internet
  • Data collection
  • Selection bias
  • Data science
  • Web application
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