"Starfish Sampling": a Novel, Hybrid Approach to Recruiting Hidden Populations.
We sought to leverage the strengths of time location sampling (TLS) and respondent-driven sampling (RDS) for surveys of hidden populations by combing elements of both methods in a new approach we call "starfish sampling." Starfish sampling entails random selection of venue-day-time units from a mapp...
| Publicado en: | Journal of Urban Health Vol. 96; no. 1; pp. 55 - 63 |
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| Autores principales: | , , |
| Formato: | journal article |
| Publicado: |
Springer Nature
Feb2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=134941278&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 134941278 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10993460 GMF jtl: Journal of Urban Health issn: 10993460 maglogo: N pubinfo: dt: Feb2019 vid: 96 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 134941278 10.1007/s11524-018-0316-9 ppf: 55 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P size: 647KB tig: atl: "Starfish Sampling": a Novel, Hybrid Approach to Recruiting Hidden Populations. aug: au: Raymond, H. Fisher Chen, Yea-Hung McFarland, Willi affil: School of Public Health, Rutgers University, Piscataway, NJ, USA University of California, San Francisco, CA, USA San Francisco Department of Public Health, 25 Van Ness, Suite 700, 94102, San Francisco, CA, USA su: San Francisco (Calif.) Population Starfishes sug: subj: Population San Francisco (Calif.) Starfishes keyword: Hidden populations Respondent-driven sampling Sampling methods Time-location sampling Hidden populations Respondent-driven sampling Sampling methods Time-location sampling ab: We sought to leverage the strengths of time location sampling (TLS) and respondent-driven sampling (RDS) for surveys of hidden populations by combing elements of both methods in a new approach we call "starfish sampling." Starfish sampling entails random selection of venue-day-time units from a mapping of the locations where the population can be found, combined with short chains of peer referrals from their social networks at the venue or presenting to the study site later. Using the population of transmen in San Francisco as a case example, we recruited 122 eligible participants using starfish sampling: 79 at randomly selected venues, 11 on dating applications, and 32 by referral. Starfish sampling produced one of the largest community-recruited samples specifically for transmen to date. Starfish sampling is a flexibility method to recruit and sample hidden populations for whom conventional TLS and RDS may not work in theory or practice. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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