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Data Collection Expert Prior Elicitation in Survey Design: Two Case Studies

Author

Listed:
  • Wu Shiya
  • Moerbeek Mirjam

    (Department of Methodology and Statistics, Utrecht University, Padualaan 14, 3584 CH Utrecht, The, Netherlands .)

  • Schouten Barry

    (Department of Process Development and Methodology, Statistics Netherlands, P.O. Box 24500, 2490 HA Den Haag, The, Netherlands .)

  • Meijers Ralph

    (Department of Traffic and Transport of Division Social Statistics, Statistics Netherlands, P.O. Box 4481, 6401 CZ Heerlen, The, Netherlands .)

Abstract

Data collection staff involved in sampling designs, monitoring and analysis of surveys often have a good sense of the response rate that can be expected in a survey, even when this survey is new or done at a relatively low frequency. They make expectations of response rates, and, subsequently, costs on an almost continuous basis. Rarely, however, are these expectations formally structured. Furthermore, the expectations usually are point estimates without any assessment of precision or uncertainty.

Suggested Citation

  • Wu Shiya & Moerbeek Mirjam & Schouten Barry & Meijers Ralph, 2022. "Data Collection Expert Prior Elicitation in Survey Design: Two Case Studies," Journal of Official Statistics, Sciendo, vol. 38(2), pages 637-662, June.
    • Handle: RePEc:vrs:offsta:v:38:y:2022:i:2:p:637-662:n:4
    DOI: 10.2478/jos-2022-0028
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    References listed on IDEAS

    as
    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. Barry Schouten & Natalie Shlomo, 2017. "Selecting Adaptive Survey Design Strata with Partial R-indicators," International Statistical Review, International Statistical Institute, vol. 85(1), pages 143-163, April.
    3. Naomi C. Brownstein & Thomas A. Louis & Anthony O’Hagan & Jane Pendergast, 2019. "The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 56-68, March.
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