2015
DOI: 10.1080/1068316x.2015.1109095
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Problems in the measurement of dynamic risk factors in sexual offenders

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Cited by 18 publications
(9 citation statements)
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“…That is, the policy emphasis is on effecting control of individual sex offenders rather than the broader socio-structural contexts which impinge upon offending behaviour and personal motivations for change. In practice, the scientific calculation of risk tends to focus on individual offender proclivities, including static and dynamic risk factors (see generally, Beech et al, 2016), rather than the underlying relational or situational contexts of risk management. In fact, far from being ‘predatory’ or ‘preferential’, the majority of sexual offending is opportunistic or situational in nature (Farmer et al, 2016; McAlinden, 2012).…”
Section: Deconstructing the ‘Risk’ Of Sexual Offendingmentioning
confidence: 99%
“…That is, the policy emphasis is on effecting control of individual sex offenders rather than the broader socio-structural contexts which impinge upon offending behaviour and personal motivations for change. In practice, the scientific calculation of risk tends to focus on individual offender proclivities, including static and dynamic risk factors (see generally, Beech et al, 2016), rather than the underlying relational or situational contexts of risk management. In fact, far from being ‘predatory’ or ‘preferential’, the majority of sexual offending is opportunistic or situational in nature (Farmer et al, 2016; McAlinden, 2012).…”
Section: Deconstructing the ‘Risk’ Of Sexual Offendingmentioning
confidence: 99%
“…It draws its practice guidelines, methods and guiding ideas primarily (and narrowly) from conceptually thin risk management models such as Bonta and Andrews (2017) General Personality and Cognitive Social Learning Perspective (GPCSP) (Ward et al 2007). While some areas of correctional psychology like sexual offending have developed a comprehensive range of explanatory theories (e.g., Beech and Ward 2017;, practitioners largely rely on risk management models in their day to day clinical work. In other words, there is a reliance on content "light" theories to structure assessment and clinical work with individuals who have been convicted of crimes (Ward 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Theories identify the causes of crime-related phenomena such as addiction or poor emotional control, and thereby provide assessment and therapeutic targets. An example of lack of attention to theory construction in forensic psychology is the failure to demonstrate that within treatment changes in dynamic risk factors (hypothesized causal factors; DRF) are responsible for reduced recidivism rates (e.g., Cording et al 2016;, ongoing questions about their theoretical coherence (e.g., Beech et al 2016;Ward and Fortune 2016) and the relatively modest effect sizes for correctional interventions (e.g., Klepfisz et al 2016;Schmucker and Losel 2015). A legacy of this lack of attention to a deeper theoretical analysis of dynamic risk factors is that we are not sure exactly how therapy is contributing to reduction in recidivism and even when treatment is effective, it does not appear to operate in the way we think (e.g., DRFs are not always reduced).…”
Section: Introductionmentioning
confidence: 99%
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“…It has recently been suggested that "the theoretical legitimacy of incorporating dynamic risk factors into the domain of treatment depends on their causal status" (Ward & Fortune, 2016a, p. 80). Researchers who are interested in the relationship between dynamic risk factor (DRF) change, treatment, and recidivism are increasingly noting that the current conceptual understanding of DRF is impacting on the quality of research (Beech, Wakeling, Szumski, & Freemantle, 2016;Cording et al, 2016;Klepfisz, Daffern, & Day, 2016;Serin, Lloyd, Helmus, Derkzen, & Luong, 2013;van den Berg, Smid, Schepers, Wever, van Beek, Janssen, & Gijs, 2018). There is concern that DRF may just be 'symptoms' or 'proxies' of underlying causal processes, rather than established causes themselves (Klepfisz et al, 2016;van den Berg et al, 2018;Ward & Fortune, 2016b).…”
Section: Chapter Two: Empirical Evidencementioning
confidence: 99%