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Disproportionate sampling for population subgroups in telephone surveys.

William D Kalsbeek1, Walter R Boyle, Robert P Agans

  • 1Survey Research Unit, Department of Biostatistics, School of Public Health, University of North Carolina, Chapel Hill, NC 27599-2400, USA. bill_kalsbeek@unc.edu

Statistics in Medicine
|February 15, 2007
PubMed
Summary

Disproportionately sampling telephone survey subgroups can increase nominal sample sizes but may negatively impact effective sample sizes. Researchers should cautiously consider this design for telephone surveys.

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Area of Science:

  • Survey methodology
  • Statistical analysis
  • Public health research

Background:

  • Population studies often require examining specific subgroups.
  • Sampling frames for small subgroups are often unavailable or costly to access.
  • Telephone surveys face challenges in efficiently sampling rare subgroups.

Purpose of the Study:

  • To evaluate the statistical effects of two-stratum telephone sample designs with disproportionate sampling.
  • To compare disproportionate sampling to proportionate sampling for subgroup analysis.
  • To assess the impact on nominal and effective sample sizes in telephone surveys.

Main Methods:

  • Analysis of two-stratum telephone sample designs.
  • Comparison of disproportionate sampling with proportionate sampling.

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  • Determination of impacts on nominal and effective sample sizes, considering sample weight variation.

    • Main Results:

    • Disproportionate sampling can improve nominal subgroup sample sizes.
    • Effective sample sizes may be reduced due to increased sample weight variation.
    • Findings are illustrated with data from two recent telephone surveys.

    Conclusions:

    • Disproportionate sampling in telephone surveys requires careful consideration.
    • Both survey designers and analysts must cautiously approach this sampling strategy.
    • Potential trade-offs between nominal and effective sample sizes should be evaluated.