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Sampling rare and elusive populations.

S Sudman, M G Sirken, C D Cowan

    Science (New York, N.Y.)
    |May 20, 1988
    PubMed
    Summary
    This summary is machine-generated.

    Sampling rare populations is challenging due to high location costs. Recent probability methods efficiently reduce these costs for geographically clustered or dispersed groups, improving research accessibility.

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    Area of Science:

    • Social Sciences
    • Statistics
    • Demography

    Background:

    • Sampling rare and elusive populations presents significant logistical and financial challenges.
    • High costs associated with locating these groups often outweigh direct interviewing expenses.

    Purpose of the Study:

    • To present efficient probability sampling methods for rare and elusive populations.
    • To reduce the costs associated with locating and sampling hard-to-reach groups.

    Main Methods:

    • For geographically clustered populations: rapid location of non-populated segments using Census data, telephone screening, or incomplete lists.
    • For non-geographically clustered populations: network sampling and utilization of large, pre-existing datasets.
    • For mobile populations: application of capture-recapture methods.

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    Main Results:

    • Developed methods significantly reduce the costs of locating rare populations.
    • Efficient strategies exist for both geographically clustered and dispersed elusive groups.
    • Capture-recapture techniques provide a viable method for estimating characteristics of mobile populations.

    Conclusions:

    • Recent advancements in probability sampling offer cost-effective solutions for studying rare and elusive populations.
    • Tailored methods, based on population distribution, enhance sampling efficiency.
    • These techniques improve the feasibility of conducting research on hard-to-reach demographic groups.