Lloyd et al. (2020) proposed and tested a novel three-step framework for examining the extent to which reassessment of dynamic risk and protective factors enhances the prediction of imminent criminal recidivism. We conducted a conceptual replication of Lloyd et al.’s study. We used the same dynamic risk assessment measure in the same jurisdiction but, unlike Lloyd et al., our sample comprised solely high-risk men on parole in New Zealand ( N = 966), the individuals who are most frequently reassessed in the community and most likely to imminently reoffend. The results of the previous study were largely reproduced: reassessment consistently enhanced prediction, with the most pronounced effects observed for a scale derived from theoretically acute dynamic risk factors. These findings indicate reassessment effects are robust to sample selection based on a narrower range of risk levels and remain robust across years of practice in applied contexts, despite potential organizational drift from initial training and reassessment fatigue. The findings also provide further support for the practice of ongoing risk reassessment in community supervision and suggest that the method proposed by Lloyd et al. is a replicable approach for testing the essential criteria for defining dynamic risk and protective factors.

We developed a set of risk ratios for the Violence Risk Appraisal Guide—Revised (VRAG-R) to broaden the range of risk communication options available when using this tool and to provide information needed for future efforts to apply The Council of State Governments Justice Center’s standardized five-level risk framework to the scale. A slightly reduced version of the VRAG-R normative data set was used for the analyses ( N = 1,238). Contrary to previous research developing risk ratios, logistic regression provided a more accurate estimate of observed violent recidivism rates than Cox regression for both total VRAG-R scores and VRAG-R decile bins. Further analyses indicated the relationship between the VRAG-R and violent recidivism was consistent over a 15-year follow-up period. Due to the difficulties with interpreting odds ratios, the final risk ratios were computed using rate ratios derived from a logistic regression model using a 5-year fixed follow-up period. These risk ratios, and templates for how the ratios might be used in an assessment report, are presented in the appendices.

In correctional practice, acute and stable dynamic risk factors are conceptually distinct. This distinction, however, has limited empirical support. We suggest that when compared with stable factors, change in acute risk factors over short time periods should demonstrate a stronger association with imminent recidivism. Using a sample of high-risk New Zealand male parolees, we examined recidivism and change in scores on the Acute and Stable subscales from the Dynamic Risk Assessment for Offender Re-entry (DRAOR). Short-term acute change was more strongly associated with imminent recidivism than short-term stable change. Notably, Acute change predicted imminent recidivism even after controlling for the most current acute assessment. Furthermore, variability across Acute, but not Stable, subscale scores enhanced prediction of imminent recidivism. These findings support the largely untested theoretical distinction between stable and acute risk factors, and tentatively support using DRAOR’s Acute subscale to guide immediate intervention decisions.

Assessment of risk of sexual recidivism has progressed from tools containing only static factors to tools including dynamic (i.e., changeable) risk factors. The psychometric properties and factor structure of one such scale, the Sex Offender Treatment Intervention and Progress Scale (SOTIPS) were explored. Seven hundred and thirty-one men assigned probation for sexual crimes in New York City and Maricopa County, Arizona were administered SOTIPS three times: intake into probation, six months later, and six months after that. SOTIPS showed good internal consistency (Time 1 ω = .87, Time 2 ω = .89, and Time 3 ω = .91), and acceptable inter-rater reliability (for the 26 cases rated in the same month, ICC =.821). An exploratory factor analysis did not result in the original factor structure proposed by the developers; instead, SOTIPS showed two factors: sexual risk and antisocial opposition. This factor structure required the averaging of two items to avoid collinearity. SOTIPS showed temporal invariance indicating that its factor structure and its association to underlying latent variables are consistent over time.