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Design Effects at the Sampling Phase

  • Seppo Laaksonen
Chapter

Abstract

A ‘design effect’ is a useful and relatively compact term to indicate the influence of the sampling design on the uncertainty of each estimate. It was introduced by Kish (1994) and followed up on by other researchers (e.g., Gabler, Häder, & Lahiri, 1999; Shackman, 2001; and the ESS sampling team). This chapter to a great extent takes advantage of the work of this latter team (e.g., ESS Sampling Guidelines, 2017).

References

  1. ESS Sampling Guidelines. (2017). Retrieved December 2017, from http://www.europeansocialsurvey.org/docs/round8/methods/ESS8_sampling_guidelines.pdf
  2. Gabler, S., Häder, S., & Lahiri, P. (1999). A model based justification of Kish’s formula for design effects for weighting and clustering. Survey Methodology, 25(1), 105–106.Google Scholar
  3. Kish, L. (1994): Multipopulation survey designs: Five types with seven shared aspects. International Statistical Review, 62, 167–186.Google Scholar
  4. Laaksonen, S., & Heiskanen, M. (2014). Comparison of three modes for a crime victimization survey. Journal of Survey Statistics and Methodology, 2(4), 459–483.Google Scholar
  5. Laaksonen, S., Kemppainen, T., Kortteinen, M., Vaattovaara, M., Stjernberg, M., & Lönnqvist, H. (2015). Tackling city-regional dynamics in a survey using grid sampling. Survey Research Association. Retrieved June 2017, from http://www.surveymethods.org
  6. Shackman, G. (2001). Sample size and design effect. Technical report, Albany Chapter of American Statistical Association. Retrieved May 2017, from http://faculty.smu.edu/slstokes/stat6380/deff%20doc.pdf

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Seppo Laaksonen
    • 1
  1. 1.Social Research, StatisticsUniversity of HelsinkiHelsinkiFinland

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