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Research Article

Discriminative and predictive validity of risk assessment measures for women incarcerated for serious violent offences in Australia

ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Received 01 Dec 2022, Accepted 29 Jun 2023, Published online: 08 Jan 2024

Figures & data

Table 1. Time between when the assessments were conducted relative to release from prison.

Table 2. Descriptive statistics of the LSI–R:SV, LS/RNR and HCR–20V3.

Table 3. Recidivism outcomes by total sample and risk measure sub-sample.

Figure 1. Survival curves in the LSI-R:SV sample, LS/RNR sample, and HCR-20V3 sample depicting the probability of surviving (i.e., not recidivating) for any (top), violent (middle), and non-violent (bottom) recidivism according to risk classification.

Figure 1. Survival curves in the LSI-R:SV sample, LS/RNR sample, and HCR-20V3 sample depicting the probability of surviving (i.e., not recidivating) for any (top), violent (middle), and non-violent (bottom) recidivism according to risk classification.

Table 4. Recidivism Outcomes by Risk Level on the LSI–R:SV, LS/RNR and HCR–20V3.

Table 5. Cox regression survival analysis and AUCs of the LSI–R:SV, LS/RNR, total scores and LS/RNR subscales for recidivism outcomes.

Table 6. Cox regression survival analysis and AUCs of the HCR–20V3 total score and H-Scale score for all recidivism outcomes.

Table 7. Sensitivity, specificity, positive predictive value and negative predictive value metrics for the measures at different cut-offs at 360 days at risk.

Supplemental material

Supplemental Material

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