281
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Hope as a Predictor of Reincarceration Among Mutual-Help Recovery Residents

, , &
Pages 474-483 | Published online: 11 Oct 2012
 

Abstract

Given the rates of reincarceration in the United States, it is important to understand criminal justice risk and protective factors. Hope is a potentially important factor with two components—agency (goal-directed determination) and pathways (planning to meet goals; Snyder et al., Citation1991). We conducted a secondary data analysis (n = 45) of a longitudinal survey of mutual-help recovery home residents. As hypothesized, greater global hope and agency significantly predicted lower odds for reincarceration, and lower levels of pathways was not predictive. We relate these findings to hope theory and potential community applications.

Acknowledgments

Research reported in this publication was supported by the National Institute of Alcohol Abuse and Alcoholism, National Institute of Drug Abuse, and the National Institute on Minority Health and Health Disparities under Award Numbers, AA016973, DA019935, MD002748, DA013231, and DA032195. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Lastly, we appreciate the efforts of Carolyn Ellis, Stephanie Marez, Rory Murray, Gilberto Padilla, and LaRonda Stalling—Oxford House recruiters who have been instrumental in the interpretation of findings.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 372.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.