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How to Implement Respondent-Driven Sampling in Practice: Insights from Surveying 24-Hour Migrant Home Care Workers

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  • Hipp, Lena
  • Kohler, Ulrich
  • Leumann, Sandra

Abstract

This article draws on the experience from an ongoing research project employing respondent-driven sampling (RDS) to survey (illicit) 24-hour home care workers. We highlight issues around the preparatory work and the fielding of the survey to provide researchers with useful insights on how to implement RDS when surveying populations for which the method has not yet been used. We conclude the article with ethical considerations that occur when employing RDS.

Suggested Citation

  • Hipp, Lena & Kohler, Ulrich & Leumann, Sandra, 2019. "How to Implement Respondent-Driven Sampling in Practice: Insights from Surveying 24-Hour Migrant Home Care Workers," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1-13.
    • Handle: RePEc:zbw:espost:209751
    DOI: 10.13094/SMIF-2019-00009
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    References listed on IDEAS

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    1. Beáta Dávid & Tom Snijders, 2002. "Estimating the Size of the Homeless Population in Budapest, Hungary," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(3), pages 291-303, August.
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    Cited by:

    1. Héctor Mullo & Ismael Sánchez-Borrego & Sara Pasadas-del-Amo, 2020. "Respondent-Driven Sampling for Surveying Ethnic Minorities in Ecuador," Sustainability, MDPI, vol. 12(21), pages 1-17, November.
    2. Ismael Sánchez-Borrego & María del Mar Rueda & Héctor Mullo, 2020. "Estimation of Non-Linear Parameters with Data Collected Using Respondent-Driven Sampling," Mathematics, MDPI, vol. 8(8), pages 1-10, August.

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