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Implementing Adaptive Survey Design with an Application to the Dutch Health Survey

Author

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  • van Berkel Kees

    (Statistics Netherlands, Division of Data Services, Research and Innovation, P.O. Box 4481, 6401 CZ, Heerlen, theNetherlands.)

  • van der Doef Suzanne

    (Statistics Netherlands, Division of Data Services, Research and Innovation, P.O. Box 4481, 6401 CZ, Heerlen, theNetherlands.)

  • Schouten Barry

    (Statistics Netherlands, Division of Data Services, Research and Innovation, P.O. Box 24500, 2490 HA, Den Haag, theNetherlands.)

Abstract

Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for this may be the gap between survey methodology and data collection, practical complications in differentiating effort across sample units and lack of flexibility of survey case management systems. Currently, adaptive survey design is a standard option in redesigns of person and household surveys at Statistics Netherlands and it has been implemented for the Dutch Health survey in 2018. In this article, the implementation of static adaptive survey designs is described and motivated with a focus on practical feasibility.

Suggested Citation

  • van Berkel Kees & van der Doef Suzanne & Schouten Barry, 2020. "Implementing Adaptive Survey Design with an Application to the Dutch Health Survey," Journal of Official Statistics, Sciendo, vol. 36(3), pages 609-629, September.
    • Handle: RePEc:vrs:offsta:v:36:y:2020:i:3:p:609-629:n:8
    DOI: 10.2478/jos-2020-0031
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    References listed on IDEAS

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    1. Jamie C. Moore & Gabriele B. Durrant & Peter W. F. Smith, 2018. "Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 229-248, January.
    2. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
    3. Annemieke Luiten & Barry Schouten, 2013. "Tailored fieldwork design to increase representative household survey response: an experiment in the Survey of Consumer Satisfaction," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(1), pages 169-189, January.
    4. Roger Tourangeau & J. Michael Brick & Sharon Lohr & Jane Li, 2017. "Adaptive and responsive survey designs: a review and assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 203-223, January.
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    Cited by:

    1. Stephanie Coffey, PhD. & Jaya Damineni & John Eltinge, PhD. & Anup Mathur, PhD. & Kayla Varela & Allison Zotti, 2023. "Some Open Questions on Multiple-Source Extensions of Adaptive-Survey Design Concepts and Methods," Working Papers 23-03, Center for Economic Studies, U.S. Census Bureau.

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