You are not logged in.

The good lives model: a strength-based approach to forensic rehabilitation

Barnao, Mary 2015, The good lives model: a strength-based approach to forensic rehabilitation, Ph.D.(Psych) thesis, School of Psychology, Deakin Univeristy.

Attached Files
Name Description MIMEType Size Downloads

Title The good lives model: a strength-based approach to forensic rehabilitation
Author Barnao, Mary
Institution Deakin Univeristy
School School of Psychology
Faculty Faculty of Health
Degree type Research doctorate
Degree name Ph.D.(Psych)
Thesis advisor Ward, Tony
Date submitted 2015-09
Keyword(s) Good Lives Model (GLM)
offender rehabilitation
forensic rehabilitation
mentally disordered offenders
Summary The aim of the research was to explore whether the Good Lives Model (GLM) of offender rehabilitation could enhance the manner in which forensic rehabilitation is undertaken. The results were encouraging but suggested that greater attention to the wider system is required for full and effective implementation of the GLM.
Language eng
Field of Research 170104 Forensic Psychology
Socio Economic Objective 920410 Mental Health
Description of original x, 325 pages : illustrations, tables, graphs
Dewey Decimal Classification 365.66
Copyright notice ┬ęThe author
Persistent URL http://hdl.handle.net/10536/DRO/DU:30079709

Document type: Thesis
Collection: Higher degree theses (citation only)
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 162 Abstract Views, 10 File Downloads  -  Detailed Statistics
Created: Fri, 20 Nov 2015, 13:48:34 EST by Prue Plummer

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.