2015
DOI: 10.1080/1068316x.2015.1111367
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Challenges for the theory and application of dynamic risk factors

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Cited by 39 publications
(39 citation statements)
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“…Another example from the area of risk prediction is illustrative. While dynamic risk factors may predict reoffending, this does not mean that they cause it and, more specifically, that they are valid treatment "targets" (Beggs 2010;Cording et al 2016). To assume they are is arguably to conflate the tasks of prediction and explanation, without demonstrating theoretically that this is justified.…”
Section: Failure To Distinguish Distinct Research Tasksmentioning
confidence: 99%
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“…Another example from the area of risk prediction is illustrative. While dynamic risk factors may predict reoffending, this does not mean that they cause it and, more specifically, that they are valid treatment "targets" (Beggs 2010;Cording et al 2016). To assume they are is arguably to conflate the tasks of prediction and explanation, without demonstrating theoretically that this is justified.…”
Section: Failure To Distinguish Distinct Research Tasksmentioning
confidence: 99%
“…Uncritical and dogmatic acceptance of existing theories DRF are viewed as possible causes of reoffending despite little evidence that they play a causal role in initial offending or recidivism rates (Ward and Fortune 2016). In addition, treatment outcome studies investigating the degree to which changes in DRF during treatment predict reduced reoffending rates have yielded disappointing-and inconsistent-results (Cording et al 2016;. The continued insistence that DRF are potential causes despite this lack of evidence reveals a degree of dogmatism and a strong commitment to risk management models of crime.…”
Section: Dynamic Risk Factorsmentioning
confidence: 99%
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“…Focusing on predictive power, instead of construct validity, risks result in multidimensional composite constructs rather than construct valid and causal constructs (Cording, Beggs Christofferson, & Grace, 2016; Ward, 2016). However, to examine predictive power has many uses, among them is the aim to quantify how well an outcome can be predicted by the information at hand (Shmueli, 2010).…”
Section: The Value Of Quantifying Predictive Powermentioning
confidence: 99%
“…An important reason for considering dynamic risk factors is that as they can change, they can be used to update assessments of risk (Clarke, Peterson-Badali, & Skilling, 2017; De Vries Robbé, de Vogel, Douglas, & Nijman, 2015; Howard & Dixon, 2013; Lewis, Olver, & Wong, 2013; Olver, Beggs Christofferson, Grace, & Wong, 2014). If there is change due to an intervention, and if this change can be linked to changes in recidivism rates, then assessing dynamic risk factors can even help us establish causal explanations for recidivism (Cording et al, 2016; Ward & Beech, 2015). Repeated measurements of the same variables are needed for this potential to come into play, and for now, this is not a feature of the Finnish risk assessment system.…”
Section: Value Of Dynamic Risk Factorsmentioning
confidence: 99%