Evaluation of the role of location and distance in recruitment in respondent-driven sampling

Nicky McCreesh; Lisa G. Johnston; Andrew Copas; Pam Sonnenberg; Janet Seeley; Richard J. Hayes; Simon D. W. Frost; Richard G. White

doi:10.1186/1476-072X-10-56

Evaluation of the role of location and distance in recruitment in respondent-driven sampling

Nicky McCreesh, Lisa G. Johnston, Andrew Copas, Pam Sonnenberg, Janet Seeley, Richard J. Hayes, Simon D. W. Frost, Richard G. White

School of Global Development

Research output: Contribution to journal › Article › peer-review

30 Citations (Scopus)

Abstract

Household location affected the overall probability of recruitment, and the probability of recruitment by a specific recruiter. Patterns of recruitment do not appear to have greatly biased estimates in this study. The observed patterns could result in bias in more geographically heterogeneous populations. Care is required in RDS studies when choosing the network size question and interview site location(s).

Original language	English
Article number	56
Journal	International Journal of Health Geographics
Volume	10
DOIs	https://doi.org/10.1186/1476-072X-10-56
Publication status	Published - 18 Oct 2011

Access to Document

10.1186/1476-072X-10-56Licence: CC BY

Cite this

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title = "Evaluation of the role of location and distance in recruitment in respondent-driven sampling",

abstract = "Household location affected the overall probability of recruitment, and the probability of recruitment by a specific recruiter. Patterns of recruitment do not appear to have greatly biased estimates in this study. The observed patterns could result in bias in more geographically heterogeneous populations. Care is required in RDS studies when choosing the network size question and interview site location(s).",

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AU - Seeley, Janet

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AU - Frost, Simon D. W.

AU - White, Richard G.

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AB - Household location affected the overall probability of recruitment, and the probability of recruitment by a specific recruiter. Patterns of recruitment do not appear to have greatly biased estimates in this study. The observed patterns could result in bias in more geographically heterogeneous populations. Care is required in RDS studies when choosing the network size question and interview site location(s).

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JO - International Journal of Health Geographics

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