Current Perspectives on Sex Crimes 2002
DOI: 10.4135/9781452229454.n23
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Where Should We Intervene?: Dynamic Predictors of Sexual Offense Recidivism

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Cited by 316 publications
(533 citation statements)
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“…This is especially the case when defining offending productivity in terms of the number of crime events. Actuarial tools and clinical assessment protocols used to assess the risk of reoffending have described the "high-risk" sex offenders as being young, single or never been married, having alcohol and/or drug-related problems, showing a lengthy criminal record, criminally versatile, using violence in the commission of sex crime, while targeting extrafamilial or stranger victims (e.g., Epperson et al, 2003;Hanson & Thornton, 2000;Hanson & Harris, 2000;Quinsey et al, 1998). Hence, actuarial tools present the high-risk sex offenders as someone with low conventional capital and a tendency to get caught for various criminal behaviors, including sex offending 17 .…”
Section: Discussionmentioning
confidence: 99%
“…This is especially the case when defining offending productivity in terms of the number of crime events. Actuarial tools and clinical assessment protocols used to assess the risk of reoffending have described the "high-risk" sex offenders as being young, single or never been married, having alcohol and/or drug-related problems, showing a lengthy criminal record, criminally versatile, using violence in the commission of sex crime, while targeting extrafamilial or stranger victims (e.g., Epperson et al, 2003;Hanson & Thornton, 2000;Hanson & Harris, 2000;Quinsey et al, 1998). Hence, actuarial tools present the high-risk sex offenders as someone with low conventional capital and a tendency to get caught for various criminal behaviors, including sex offending 17 .…”
Section: Discussionmentioning
confidence: 99%
“…This model rnay hold some intuitive appeal for those theorists who have recently expressed dissatisfaction with the traditional view that risk factors are either static or dynamic (e.g., Hanson & Harris, 2000;Quinsey et al, 1998). Additionally, the model may yield dividends in a practical setting (e.g., parole supervision) in ternis of developing measures that take into account the differential rate of change among certain dynamic risk factors.…”
Section: Defininci Static and Dvnamic Risk Factorsmentioning
confidence: 99%
“…At the other extreme are risk factors that can change rapidly within days, hours or even minutes. These factors have been labeled precipitating labile events (Zamble & Quinsey, 1997), acute dynarnic risk factors (Hanson & Harris, 2000) and proximal anlecedents . Typically, these variables are difficult to predict, originate in the environment (e-g., wife dies in a car accident), and occur in close temporal proximity to the event of interest (e.g., recidivism) .…”
Section: Defininci Static and Dvnamic Risk Factorsmentioning
confidence: 99%
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“…For example, Hanson & Harris (2000) present data that demonstrate dynamic variables such as criminal attitudes, social influence, and hostility are related to sexual recidivism. Although researchers are identifying important dynamic variables that should be taken into account when evaluating risk, only a small number of such measures are currently being developed and these remain in their infancy.…”
Section: Importance Of Dynamic Risk Variablesmentioning
confidence: 84%