This study will clarify the relationship between Static-99R items and assess whether it is consistent across subsamples and recidivism types. Gaining a greater understanding of these underlying factors can help clinicians communicate risk levels more effectively and improve treatment planning by guiding the selection of treatment targets and determining the need for further assessment. It may also provide opportunities for the development team to enhance meaningful interpretation of Static-99R findings and help facilitate the integration of static risk indicators with risk-relevant propensities assessed by other tools. Overall, clarifying how risk factors are organized may strengthen risk communication and improve assessment, case management, and intervention planning in forensic and correctional settings.

artificial incremental validity emerge when correlated predictors are entered into risk prediction models. Particular attention is given to understanding fluctuations in the relative contributions of Static-99R and STABLE-2007, two widely used measures in sexual recidivism risk assessment, and determining when these changes reflect genuine differences in predictive utility versus statistical artifacts arising from model characteristics and sampling variability. The findings will help researchers better interpret incremental validity analyses and identify conditions under which conclusions about the relative importance of risk factors may be misleading.

Given the substantial impact these risk tools can have on sentencing decisions, intervention planning, and other evaluative decisions, it is important to establish their accuracy within a correctional context. The present study will evaluate the predictive accuracy of these tools within a Canadian provincial correctional setting. RCMP criminal history records will be coded by the research team to develop a local normative dataset of provincial recidivism rates. In addition, the study will investigate whether predictive accuracy differs across subgroups of men who have committed sexual offences, such as internet sex offences or non-contact offences. The anticipated benefit of this research is to provide empirical evidence regarding the operational performance of these risk assessment tools. Findings will contribute to more accurate and appropriate correctional decision-making, support the effective allocation of interventions and supervision resources, and ultimately enhance public safety.