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Test of a Hybrid Method of Sampling the LGBT Population: Web Respondent Driven Sampling with Seeds from a Probability Sample

Author

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  • Michaels Stuart

    (NORC at the University of Chicago, 55 East Monroe Street, Chicago, Illinois 60603, U.S.A.)

  • Pineau Vicki

    (NORC at the University of Chicago, 55 East Monroe Street, Chicago, Illinois 60603, U.S.A.)

  • Reimer Becky

    (NORC at the University of Chicago, 55 East Monroe Street, Chicago, Illinois 60603, U.S.A.)

  • Ganesh Nadarajasundaram

    (NORC at the University of Chicago, 4350 East-West Highway, Bethesda, MD 20814, Maryland, U.S.A.)

  • Dennis J. Michael

    (NORC at the University of Chicago – AmeriSpeak, 1250 Borregas Ave #135, Sunnyvale, California 94089, U.S.A.)

Abstract

This article presents the results of a pilot feasibility study comparing two alternative recruitment approaches based on Respondent Driven Sampling using initial seeds selected from a US nationally representative panel, AmeriSpeak, to augment the number of lesbian, gay, bisexual, and transgender (LGBT) respondents to a short web survey on smoking, discrimination, and health. In the nomination condition after completing the survey both LGBT and non-LGBT seeds were invited to share the names and email address of up to four LGBT persons they knew. In the recruitment condition, seeds were given four unique PINs and links to the survey to distribute to LGBT persons. Both conditions were successful in producing new LGBT respondents. The recruitment condition was much more productive. LGBT seeds (and their recruits) were much connected to and willing to contact other LGBT people they knew to participate in a survey. Comparisons of characteristics and responses from the initial samples and the LGBT referrals as well as comparisons to LGB samples from a large national survey are presented. Results demonstrate the promise of this hybrid technique for increasing the number of LGBT respondents through referrals from an initial probability based sample.

Suggested Citation

  • Michaels Stuart & Pineau Vicki & Reimer Becky & Ganesh Nadarajasundaram & Dennis J. Michael, 2019. "Test of a Hybrid Method of Sampling the LGBT Population: Web Respondent Driven Sampling with Seeds from a Probability Sample," Journal of Official Statistics, Sciendo, vol. 35(4), pages 731-752, December.
    • Handle: RePEc:vrs:offsta:v:35:y:2019:i:4:p:731-752:n:3
    DOI: 10.2478/jos-2019-0031
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    References listed on IDEAS

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    1. Schneider, J. & Cornwell, B. & Jonas, A. & Lancki, N. & Behler, R. & Skaathun, B. & Young, L. E. & Morgan, E. & Michaels, S. & Duvoisin, R. & Khanna, A. S. & Friedman, S. & Schumm, P. & Laumann, E., 2017. "Network dynamics of HIV risk and prevention in a population-based cohort of young Black men who have sex with men," Network Science, Cambridge University Press, vol. 5(3), pages 381-409, September.
    2. Schneider, J. & Cornwell, B. & Jonas, A. & Lancki, N. & Behler, R. & Skaathun, B. & Young, L. E. & Morgan, E. & Michaels, S. & Duvoisin, R. & Khanna, A. S. & Friedman, S. & Schumm, P. & Laumann, E., 2017. "Network dynamics of HIV risk and prevention in a population-based cohort of young Black men who have sex with men – CORRIGENDUM," Network Science, Cambridge University Press, vol. 5(2), pages 247-247, June.
    3. Schonlau Matthias & Weidmer Beverly & Kapteyn Arie, 2014. "Recruiting an Internet Panel Using Respondent-Driven Sampling," Journal of Official Statistics, Sciendo, vol. 30(2), pages 291-310, June.
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    Cited by:

    1. Chien-Min Huang & F. Jay Breidt, 2023. "A dual-frame approach for estimation with respondent-driven samples," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 65-81, April.

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