Dissertation/Thesis Abstract

Under the influence: High risk social networks and recidivism
by Doyle, Jennifer J., M.S., California State University, Long Beach, 2012, 94; 1521607
Abstract (Summary)

Drug treatment literature underscores the importance of pro-social peer support during recovery from addiction; similarly criminological literature emphasizes the importance of positive role models in minimizing recidivism. This study analyzes recidivism for parolees in substance treatment programs based on their social networks. The data are derived from surveys collected during the parolees' treatment programs, assessing primary social contacts, and the role of transitional social support during reentry. It is hypothesized that high risk social networks, defined as dense networks primarily composed of drug users and criminals, will correlate with higher rates of recidivism and relapse. The present research found moderately significant correlations between various characteristics of social network composition and recidivism. In addition, having a high risk drug user network was found to have the most significant influence on recidivism. Knowing which social network characteristics influence recidivism can help structure treatment models. Increasing positive influences in the social networks of recently released offenders could reduce the rate of recidivism and ideally reduce the cost of incarceration.

Indexing (document details)
Advisor: Malm, Aili
Commitee: Fradella, Henry, Ireland, Connie Estrada, Malm, Aili
School: California State University, Long Beach
Department: Criminal Justice
School Location: United States -- California
Source: MAI 51/04M(E), Masters Abstracts International
Subjects: Law, Criminology
Publication Number: 1521607
ISBN: 978-1-267-79036-1
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