Sampling Hard-to-Reach Populations with Respondent Driven Sampling

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Sampling hard to reach populations.

Studies on 'hidden populations', such as homeless people, prostitutes and drug addicts, raise a number of specific methodological questions usually absent from research involving known populations and less sensitive subjects. This paper examines the advantages and limitations of nonrandom methods of data collection such as snowball sampling. It reviews the currently available literature on samp...

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Comparison of sampling methods for hard-to-reach francophone populations: yield and adequacy of advertisement and respondent-driven sampling

BACKGROUND Francophones who live outside the primarily French-speaking province of Quebec, Canada, risk being excluded from research by lack of a sampling frame. We examined the adequacy of random sampling, advertising, and respondent-driven sampling for recruitment of francophones for survey research. METHODS We recruited francophones residing in the city of Calgary, Alberta, through adverti...

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Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling

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Respondent Driven Sampling

Respondent driven sampling (RDS) is a network sampling technique typically employed for hard-to-reach populations (e.g. drug users, men who have sex with men, people with HIV). Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. The recruiting process repeats iteratively, thereby forming long referral chains. Unlike in snowball sa...

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Assessing respondent-driven sampling.

Respondent-driven sampling (RDS) is a network-based technique for estimating traits in hard-to-reach populations, for example, the prevalence of HIV among drug injectors. In recent years RDS has been used in more than 120 studies in more than 20 countries and by leading public health organizations, including the Centers for Disease Control and Prevention in the United States. Despite the widesp...

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ژورنال

عنوان ژورنال: Methodological Innovations Online

سال: 2010

ISSN: 1748-0612

DOI: 10.4256/mio.2010.0017