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Sala Grande - 19th IAFS World Meeting - 9th WPMO Triennial Meeting

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5<br />

Author(s): Tkatchouk M 1 ; Rebocho MF 2<br />

19 th <strong>IAFS</strong> WORLD MEETING<br />

9 th <strong>WPMO</strong> TRIENNIAL MEETING<br />

5 th MAFS MEETING<br />

OFFENCE BEHAVIOURS AS PREDICTORS OF OFFENDER CHARACTERISTICS IN SEX OFFENDERS<br />

Institution(s): 1 SIMON FRASER UNIVERSITY; 2 UNIVERSIDADE FERNANDO PESSOA<br />

Abstract: Criminal Profiling (CP) is an investigative tool used to assist with suspect prioritization in criminal investigations by providing a<br />

profile of offender characteristics that can be used to select a number of viable suspects from a large potential suspect pool. CP is used<br />

despite lacking empirical support. Profilers claim to predict the background characteristics of an offender, based solely on his or her<br />

behaviour during the commission of one or more crimes. Thus, logically, a necessary condition of CP is the existence of relationships<br />

between offence behaviours and offender characteristics. We argue that it needs to be established through attempts to identify groups<br />

of offenders that are different with respect to offence behaviours and offender characteristics. In the current study, an attempt was<br />

made to derive a taxonomy that classified the population of male Portuguese incarcerated sex offenders into groups that are different<br />

with respect to offence behaviours and offender characteristics. The participants in this study were 216 male Portuguese incarcerated<br />

offenders, convicted for sexual offenses involving direct physical contact with their victims. Data were gathered using an instrument<br />

built to collect information from the participants’ institutional records and guide in-depth, semi-structured interviews with offenders. In<br />

case of any discrepancies between the offender’s account and the institutional records, information from the institutional records was<br />

used. The variables that were coded were divided into two sets, the first set consisting of 156 offence behaviour variables (the kind of<br />

information that would be available for profile generation), such as: victim selection (child versus adult), approach strategy, weapon<br />

use, and levels of coercion and injury inflicted on the victim, and the second, 45 offender characteristics variables (the kind of<br />

information that should be contained in a profile), such as: age, employment status, criminal record and psychiatric/psychological<br />

problems. Initially, a Categorical Principal Component Analysis (CATPCA) was applied to the 156 offence behaviour variables to reduce<br />

their dimensionality to the number of dimensions that accounted for 90% of the variability in the data. The resulting principal<br />

component variables were retained for input into a Hierarchical Cluster Analysis (HCA). The type of HCA used was Ward’s method; the<br />

optimal number of clusters was selected by inspecting the dendrogram. Finally, each cluster was described in terms of the offence<br />

behaviour and offender characteristics variables. Thus, in this study, a sex offender taxonomy that supports the necessary condition of<br />

CP identified, namely the existence of relationships between offence behaviours and offender characteristics, has been derived.<br />

Although this finding is preliminary, it suggests that the necessary condition of CP identified is in place in Portugal and paves the way for<br />

replications of this finding and further CP research.<br />

Keywords: Sex Offenders; Criminal Profiling; Offence Behaviours; Offender Characteristics; Offender Taxonomy

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