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Beneficiary Survey Design and Administration for Eligibility and Coverage Demonstration Evaluations

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Listed:
  • Holly Matulewicz
  • Katharine Bradley
  • Sarah Wagner

Abstract

This guide is an overview of best practices in the design and administration of beneficiary surveys for use in evaluations of section 1115 Medicaid demonstrations.

Suggested Citation

  • Holly Matulewicz & Katharine Bradley & Sarah Wagner, "undated". "Beneficiary Survey Design and Administration for Eligibility and Coverage Demonstration Evaluations," Mathematica Policy Research Reports 88ef00cc37754b84a67e9f860, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:88ef00cc37754b84a67e9f86019c617c
    as

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    File URL: https://www.mathematica.org/-/media/publications/pdfs/health/2019/1115-beneficiary-survey-guide.pdf
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    References listed on IDEAS

    as
    1. Ori Heffetz & Daniel B. Reeves, 2019. "Difficulty of Reaching Respondents and Nonresponse Bias: Evidence from Large Government Surveys," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 176-191, March.
    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. Geraldine Mooney & Cheryl De Saw & Xiaojing Lin & Andrew Hurwitz & Flora Lan, "undated". "Influencing Mode Choice in a Multi-Mode Survey," Mathematica Policy Research Reports 01f2798fa7024d088ec07c794, Mathematica Policy Research.
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    Cited by:

    1. Atheendar S. Venkataramani, 2021. "Effective Policymaking Requires Strong Evidence: Randomized Controlled Trials As The Foundation For Evidence‐Based Policy," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(2), pages 650-656, March.
    2. Atheendar S. Venkataramani, 2021. "Effective Policymaking Requires Strong Evidence: Randomized Controlled Trials As The Foundation For Evidence‐Based Policy," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(2), pages 650-657, March.

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