Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-09T08:31:11.556Z Has data issue: false hasContentIssue false

A Descriptive Model of the Relapse Process in Disqualified Drivers

Published online by Cambridge University Press:  22 February 2012

Leonie Wilson
Affiliation:
University of Canterbury.
Tony Ward*
Affiliation:
University of Melbourne. [email protected]
Leon Bakker
Affiliation:
Department of Corrections, Christchurch, NZ.
*
*Address for correspondence: Dr Tony Ward, Department of Criminology, University of Melbourne, Parkville VIC 3052, Australia.
Get access

Abstract

Driving-while-disqualified (DWD) offenders represent a significant proportion of the driving offender population, and contribute to a significant drain on governmental and societal resources. The reoffence or relapse process of recidivist DWD offending has been somewhat neglected in the past, and this paper represents a first attempt at developing an empirically generated model of this phenomenon. In this study, we undertook a grounded theory analysis of offence chain information obtained from 28 male recidivist DWD offenders. The grounded theory analysis resulted in the development of a 15-stage model of the relapse process of recidivist DWD offenders. The model identifies and describes the sequence of psychological, behavioural, and environmental factors, including mediating variables that contribute to DWD reoffending. The model was then applied to 14 new offence chains to examine its level of saturation, content validity, and inter-rater reliability. The results suggest that the model has provisional validity and adequate inter-rater reliability, and achieved a high level of saturation. The strengths and value of the model are discussed, as are its clinical and research implications.

Type
Articles
Copyright
Copyright © Cambridge University Press 1999

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)