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

Michaels Stuart (), Pineau Vicki (), Reimer Becky (), Ganesh Nadarajasundaram () and Dennis J. Michael ()
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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.

Journal of Official Statistics, 2019, vol. 35, issue 4, 731-752

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.

Keywords: LGBT population; respondent driven sampling; network sampling (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:35:y:2019:i:4:p:731-752:n:3

DOI: 10.2478/jos-2019-0031

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