445
Views
6
CrossRef citations to date
0
Altmetric
Articles

Evaluating script-like knowledge in offenders and a small group of non-apprehended offenders

&
Pages 161-178 | Received 16 Jul 2010, Accepted 11 Aug 2011, Published online: 18 Oct 2011
 

Abstract

The offending behaviour patterns exhibited by habitual or repeat offenders of burglary have been interpreted within the theoretical framework provided by script theory. This investigation sought to evaluate the applicability of this theory in a number of theoretically interesting groups. First, we contrasted the sets of actions for a burglary generated by groups of adjudicated offenders from two age cohorts (Study 1: 16–18 years; Study 2: 23–58 years) with matched groups of non-offenders. Second, the actions sequences, generated by adjudicated offenders was contrasted with those generated by a select group of non-apprehended offenders, who had evaded the criminal justice system throughout their extensive adult lives of crime (Study 3). Each study made use of novel analytical techniques to reveal striking within-group consistencies in reported action sets of adjudicated offenders; and marked between-group differences in the action sequences of adjudicated and non-apprehended offenders.

Notes

1. A conviction can represent a single offence or any number of different and/or separate offences that have been committed in a given moment or over a period of time. These separate offences are grouped together for the convenience of the court dealing with the case, resulting in a ‘conviction’.

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 199.00 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.