Predictors of multiple arrests among homeless young adults: Gender differences

Karin Wachter, Sanna J. Thompson, Kimberly Bender and Kristin Ferguson

Children and Youth Services Review, 2015, vol. 49, issue C, 32-38

Abstract: Criminological research on homeless young adults has shown that males are more often arrested for violent offenses, while females engage more frequently in self-destructive behaviors. General strain theory (GST) provides a useful theoretical framework for understanding criminal behaviors and arrest history among homeless young adults. This study examined strains and responses to strains that significantly predict the likelihood of multiple arrests and investigated how predictors of multiple arrests vary by gender. Findings indicate that predictors for multiple arrests do indeed vary by gender, with exposure to the drug culture of the streets being an important variable for males, while being robbed with a weapon and drug distribution are significant predictors for females. Resilience showed an inverse relationship with multiple arrests, as did sexual assault for females. Study findings and implications for service provision are discussed.

Keywords: Homeless young adults; General strain theory; Arrest; Gender (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0190740914004290
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:cysrev:v:49:y:2015:i:c:p:32-38

DOI: 10.1016/j.childyouth.2014.12.017

Access Statistics for this article

Children and Youth Services Review is currently edited by Duncan Lindsey

More articles in Children and Youth Services Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().