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NCJ Number: 167352 Find in a Library
Title: Adaptive Sampling in Behavioral Surveys (From The Validity of Self-Reported Drug Use: Improving the Accuracy of Survey Estimates, P 296-319, 1997, Lana Harrison and Arthur Hughes, eds. - See NCJ 167339)
Author(s): S K Thompson
Date Published: 1997
Page Count: 24
Sponsoring Agency: National Institute on Drug Abuse
Bethesda, MD 20892-9561
NCJRS Photocopy Services
Rockville, MD 20849-6000
Sale Source: National Institute on Drug Abuse
National Institutes of Health
6001 Executive Boulevard, Room 5213
Bethesda, MD 20892-9561
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Document: PDF
Type: Report (Study/Research)
Language: English
Country: United States of America
Annotation: This article examines the use of adaptive sampling and graph sampling methods for studies of behavioral characteristics in rare and hidden populations, and discusses methods of adjusting for the nonsampling errors that arise in such studies.
Abstract: Studies of populations such as drug users encounter difficulties because the members of the population are rare, hidden, or hard to reach. Conventionally designed large-scale surveys detect relatively few members of the population, so estimates of population characteristics have high uncertainty. In adaptive sampling, the procedure for selecting people depends on variables of interest observed during the survey. Types of adaptive sampling designs include ordinary sequential sampling, adaptive allocation in stratified sampling, adaptive cluster sampling, and optimal model-based designs. Graph sampling refers to people connected by such things as social links or geographic proximity. Graph sampling designs include network sampling, snowball sampling, link-tracing, chain referral, and adaptive cluster sampling. References
Main Term(s): Controlled Substances
Index Term(s): Data collections; Drug research; Drug use; Research methods; Sampling; Self-report studies; Statistics; Studies; Surveys; Testing and measurement
Note: DCC
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