Treatment of Sex Offenders
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48<br />
R.J.B. Lehmann et al.<br />
Certain past and present behaviors, such as substance abuse, job instability, getting<br />
into fights, and poor problem-solving, may all be indicators <strong>of</strong> this propensity. In this<br />
model, the distinction between static and dynamic risk factors is simply a heuristic<br />
to describe indicators, rather than a fundamental difference between the risk-relevant<br />
constructs. For example, a history <strong>of</strong> car accidents (a static variable) and current<br />
substance abuse (a dynamic variable) may both be indicators <strong>of</strong> the same underlying<br />
propensity (poor self-regulation). In other words, psychologically meaningful risk<br />
factors can be measured using either static or dynamic risk factors.<br />
Nonetheless, even though static and dynamic risk factors may measure the same<br />
constructs, there are practical advantages to distinguishing between them in risk<br />
assessment. Conceptually, it is easy to divide risk factors into those that the <strong>of</strong>fender<br />
cannot change or manage (static) versus those he/she can (dynamic), with the latter<br />
being easier to incorporate into treatment planning (though this does not mean that<br />
static risk assessment cannot also inform risk management). Also, the types <strong>of</strong><br />
information used to assess these risk factors are different. Static risk factors are<br />
<strong>of</strong>ten easy and reliably coded based on fairly straightforward criminal history information,<br />
as well as <strong>of</strong>fender and victim demographics. Interviews with the <strong>of</strong>fender<br />
may not be required, which makes these items practical for correctional systems<br />
that need to assess and manage large populations with limited resources. In comparison,<br />
dynamic risk factors are <strong>of</strong>ten more time-intensive to assess. Credible<br />
assessments should minimally include detailed reviews <strong>of</strong> file information (criminal<br />
history and personal/social history) and ideally an interview with the <strong>of</strong>fender (e.g.,<br />
Fernandez, Harris, Hanson, & Sparks, 2014 ). Other sources <strong>of</strong> information (e.g.,<br />
specialized testing, collateral interviews) can also enhance dynamic assessment.<br />
Complicating this distinction further is recent research and theoretical work that<br />
suggests the existence <strong>of</strong> protective factors (e.g., Farrington & Tt<strong>of</strong>i, 2011 ; Lösel &<br />
Farrington, 2012 ), which may reduce the risk <strong>of</strong> recidivism or interact with a risk<br />
factor to decrease its association with recidivism. Although the attempt to focus on<br />
<strong>of</strong>fender strengths in assessment is admirable and would likely increase the comprehensiveness<br />
<strong>of</strong> the assessment and improve the therapeutic climate, Harris and Rice<br />
( 2015 ) have argued that current descriptions <strong>of</strong> supposedly protective risk factors<br />
are mostly just the opposite end <strong>of</strong> risk factors and do not reflect new constructs.<br />
Consequently, the idea <strong>of</strong> risk-relevant propensities (Mann et al., 2010 ) implies that<br />
static, dynamic, and/or protective factors can be used to assess the same risk- relevant<br />
contructs, thereby informing risk management practices. Certainly, however, assessing<br />
changes in risk would require some consideration <strong>of</strong> dynamic risk factors.<br />
Crime Scene Behaviors as Indicators <strong>of</strong> Risk-Relevant<br />
Propensities<br />
One neglected area <strong>of</strong> research has been to use crime scene behaviors as indicators<br />
<strong>of</strong> risk-relevant constructs. Enduring risk-related individual <strong>of</strong>fender propensities<br />
(e.g., hostility) may manifest themselves in concrete <strong>of</strong>fense behavior