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Sampling and Surveying Hard-to-Reach Populations for Demographic Research

Author

Listed:
  • Victor Agadjanian

    (University of California, Los Angeles)

  • Natalya Zotova

    (Russian Academy of Sciences)

Abstract

Because household-based survey designs are notoriously ineffective in studying hard-to-reach groups such as irregular migrants, these groups, however numerically large they may be, are rarely represented in demographic analyses. In this paper, we report on the application of a workplace-based stratified probability sampling design, response rate, and item-specific refusals in a recent study of irregular female migrants from Tajikistan, Kyrgyzstan, and Uzbekistan working in bazaars, eateries, and small retail outlets in Moscow, Russia. We argue that workplace-based survey, while not flawless, provides a uniquely feasible and cost-effective tool for studying irregular migrants and other marginalized groups.

Suggested Citation

  • Victor Agadjanian & Natalya Zotova, 2012. "Sampling and Surveying Hard-to-Reach Populations for Demographic Research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(5), pages 131-150.
  • Handle: RePEc:dem:demres:v:26:y:2012:i:5
    DOI: 10.4054/DemRes.2012.26.5
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    Citations

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    Cited by:

    1. Samantha R. Lattof, 2018. "Collecting data from migrants in Ghana: Lessons learned using respondent-driven sampling," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(36), pages 1017-1058.
    2. Tom Frere-Smith & Renee Luthra & Lucinda Platt, 2014. "Sampling Recently Arrived Immigrants in the UK: Exploring the effectiveness of Respondent Driven Sampling," RF Berlin - CReAM Discussion Paper Series 1432, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    3. Reichl Luthra, Renee & Platt, Lucinda & Frere-Smith, Tom, 2014. "Sampling recently arrived immigrants in the UK: exploring the effectiveness of Respondent Driven Sampling," ISER Working Paper Series 2014-25, Institute for Social and Economic Research.
    4. Lattof, Samantha R., 2018. "Collecting data from migrants in Ghana: lessons learned using respondent-driven sampling," LSE Research Online Documents on Economics 87451, London School of Economics and Political Science, LSE Library.
    5. Victor Agadjanian & Sam Hyun Yoo, 2018. "Migration, legality, and fertility regulation: Abortion and contraception among migrants and natives in Russia," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(42), pages 1277-1302.
    6. Bernarda Espinoza-Castro & Tobias Weinmann & Rossana Mendoza López & Katja Radon, 2019. "Major Depressive Syndrome (MDS) and its Association with Time of Residence among Spanish Speaking Au-Pairs Living in Germany," IJERPH, MDPI, vol. 16(23), pages 1-10, November.
    7. Lucinda Platt & Renee Luthra & Tom Frere-Smith, 2015. "Adapting chain referral methods to sample new migrants," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(24), pages 665-700.

    More about this item

    Keywords

    Central Asia; migration; Russia; sampling; survey methodology;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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