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Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools

Author

Listed:
  • West Brady T.

    (Survey Research Center, University of Michigan-Ann Arbor, 4118 Institute for Social Research, 426 Thompson Street, Ann Arbor, MI, 48106, U.S.A.)

  • Sakshaug Joseph W.

    (Institute for Employment Research, Regensburger Strasse 104, Nuremberg, 90478, Germany.)

  • Aurelien Guy Alain S.

    (Walter R. McDonald & Associates, 12300 Twinbrook Pkwy, Suite 310, Rockville, MD 20852, U.S.A.)

Abstract

In this article, we review current state-of-the art software enabling statisticians to apply design-based, model-based, and so-called “hybrid” approaches to the analysis of complex sample survey data. We present brief overviews of the similarities and differences between these alternative approaches, and then focus on software tools that are presently available for implementing each approach. We conclude with a summary of directions for future software development in this area.

Suggested Citation

  • West Brady T. & Sakshaug Joseph W. & Aurelien Guy Alain S., 2018. "Accounting for Complex Sampling in Survey Estimation: A Review of Current Software Tools," Journal of Official Statistics, Sciendo, vol. 34(3), pages 721-752, September.
    • Handle: RePEc:vrs:offsta:v:34:y:2018:i:3:p:721-752:n:7
    DOI: 10.2478/jos-2018-0034
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    References listed on IDEAS

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    7. West, B.T. & Beer, L. & Gremel, G.W. & Weiser, J. & Johnson, C.H. & Garg, S. & Skarbinski, J., 2015. "Weighted multilevel models: A case study," American Journal of Public Health, American Public Health Association, vol. 105(11), pages 2214-2215.
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