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Practical Tools for Designing and Weighting Survey Samples pp 203–255Cite as

Designing Multistage Samples

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Part of the book series: Statistics for Social and Behavioral Sciences ((SSBS,volume 51))

Abstract

Previous chapters have covered the design of samples selected in a single stage. However, sampling is often done using more than one stage. There are a number of reasons why cluster or multistage sampling may be used. Using multistage samples can often be a practical and cost-efficient solution in situations where a list of elementary (or analytic) units is not available for direct sampling. In those cases, a list of elementary units can be compiled within just the sample clusters rather than for the whole frame. This is especially useful in household samples if a list of every household in a country, state, county, etc., is not available. In other cases, permission to do a survey may have to be obtained at the cluster level. For example, if the goal is to administer a standardized test to a sample of students, administrators in the school district or in the school may have to grant permission to do the survey.

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Author information

Authors and Affiliations

  1. University of Michigan, Ann Arbor, MI, USA

    Richard Valliant

  2. RTI International, Washington, DC, USA

    Jill A. Dever

  3. University of Maryland, College Park, MD, USA

    Frauke Kreuter

Authors
  1. Richard Valliant
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  2. Jill A. Dever
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  3. Frauke Kreuter
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Valliant, R., Dever, J.A., Kreuter, F. (2013). Designing Multistage Samples. In: Practical Tools for Designing and Weighting Survey Samples. Statistics for Social and Behavioral Sciences, vol 51. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6449-5_9

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