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Using Respondent-Driven Sampling to Recruit Illegal Drug Purchasers to Evaluate a Drug Market Intervention

NCJ Number
252356
Date Published
January 2016
Length
35 pages
Author(s)
Allison J. Ober, Jesse Sussell, Beau Kilmer, Jessica Saunders, Douglas D. Heckathorn
Agencies
NIJ-Sponsored
Annotation
This study examined the use of respondent-driven sampling (RDS)—a statistical sampling method—to approximate a representative sample of drug users who purchased drugs in a targeted drug market intervention (DMI) to determine the effect of a DMI on market dynamics.
Abstract
Violent drug markets are not as prominent as they once were in the United States, but they still exist and are associated with significant crime and lower quality of life. The drug market intervention (DMI) is an innovative strategy that uses focused deterrence, community engagement, and incapacitation to reduce crime and disorder associated with these markets. Although studies show that DMI can reduce crime and overt drug activity, one perspective is prominently missing from these evaluations, i.e., those who purchase drugs. The current study used RDS to recruit individuals who reported hard drug use (crack or powder cocaine, heroin, methamphetamine, or illicit use of prescriptions opioids) in the last month to participate in a survey. The main survey asked about drug use, drug purchasing, and drug market activity before and after DMI; a secondary survey asked about network characteristics and recruitment. The sample of 212 respondents met key RDS assumptions, suggesting that the characteristics of the weighted sample approximated the characteristics of the drug-user network. The weighted estimates for market purchasers were generally valid for inferences about the aggregate population of customers, but a larger sample size is needed to make stronger inferences about the effects of a DMI on drug market activity. (Publisher abstract modified)
Date Created: April 28, 2019