Treatment of Sex Offenders
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R.J.B. Lehmann et al.<br />
A good defense to this is to rely on tools with heavy empirical support and demonstrated<br />
consistency and replicability; this leaves less room for argument. Actuarial<br />
risk assessment meets four goals critical to any organization managing <strong>of</strong>fenders:<br />
(1) they identify the level <strong>of</strong> risk for an individual within a group or population <strong>of</strong><br />
individuals, (2) they identify contributing salient risk factors that are appropriate<br />
targets for intervention (assuming dynamic risk assessment is used), (3) they identify<br />
strategies that manage or minimize risk, and (4) they communicate risk information<br />
(Mills, Kroner, & Morgan, 2011 ).<br />
The identification <strong>of</strong> risk level within a population, along with the contributing<br />
risk factors, appropriate treatment targets, and strategies for managing risk, has the<br />
potential to directly impact policy in relation to management and intervention <strong>of</strong><br />
<strong>of</strong>fenders within an organization. A clear management framework and consistent<br />
structure for handling <strong>of</strong>fenders within an organization (based on their risk assessment<br />
results) should result in time and resource efficiencies. Additionally, a standardized<br />
approach facilitates the identification <strong>of</strong>, planning for, and streamlining <strong>of</strong><br />
staff training needs. Good quality staff development and training along with subsequent<br />
supervision can balance inequality in prior qualifications, knowledge, and<br />
skill level among staff members (Mann, Fernandez, & Ware, 2011 ).<br />
Additionally, the fourth goal <strong>of</strong> risk communication is critical to the ethical and<br />
appropriate management <strong>of</strong> <strong>of</strong>fenders within an organization. Mills and Kroner<br />
( 2006 ) found that risk judgments given using high, moderate, and low categorizations<br />
were overestimated, even when the base rate <strong>of</strong> <strong>of</strong>fending was provided. They<br />
note that subjective risk categories lack “solid empirical meaning” and may cause<br />
under- or over-estimates <strong>of</strong> risk, resulting in suboptimal resource allocation to<br />
<strong>of</strong>fenders managed within the organization. As noted earlier, actuarial measures<br />
typically provide multiple methods to quantify risk, including recidivism estimates,<br />
percentiles, and risk ratios along with nominal risk categories. Thus an advantage to<br />
actuarial measures is that they provide a common language for risk communication.<br />
With appropriate training risk communication will hold the same meaning for<br />
everyone within the organization, including decision makers, and directly impact<br />
resource allocation.<br />
The Societal Level<br />
Controversy in the use <strong>of</strong> actuarial risk assessment has focused primarily on its<br />
use for decisions related to incarceration (e.g., civil commitment) and release<br />
(e.g., parole). There is less controversy over the use <strong>of</strong> risk assessment as part <strong>of</strong><br />
treatment planning or about the identification <strong>of</strong> treatment needs using dynamic<br />
risk assessment measures, as is primarily discussed above. There is very little<br />
empirical research on the consumption <strong>of</strong> actuarial risk estimates generally<br />
(Scurich, Monahan, & John, 2012 ). Identified concerns include that decision makers<br />
may be misled to think that actuarial tools are more precise than they in fact