This study provides an initial analysis of how effective commonly used risk assessment and psychological tests are in postdicting the severity of the index offense and the individual’s most severe offense in a forensic inpatient sample. The study involved a chart review of risk assessment measures, cognitive and personality tests, and criminological data for 65 patients at St. Joseph’s Hamilton Mountain Centre for Mental Health Care. The results found a significant correlation between the Wechsler Abbreviated Scale of Intelligence (Wechsler, 1997) and index offense severity. Moreover, an aggression typology (Nussbaum, Saint-Cyr, & Bell, 1997) showed promising signs in differentiating severity by offender type. The study also suggests that further research is necessary in this area, given the limited relationship found between risk instruments and severity of violence, though the risk assessment measures did show good concurrent validity.

This study provides an initial analysis of how effective commonly used risk assessment and psychological tests are in postdicting the severity of the index offense and the individual’s most severe offense in a forensic inpatient sample. The study involved a chart review of risk assessment measures, cognitive and personality tests, and criminological data for 65 patients at St. Joseph’s Hamilton Mountain Centre for Mental Health Care. The results found a significant correlation between the Wechsler Abbreviated Scale of Intelligence (Wechsler, 1997) and index offense severity. Moreover, an aggression typology (Nussbaum, Saint-Cyr, & Bell, 1997) showed promising signs in differentiating severity by offender type. The study also suggests that further research is necessary in this area, given the limited relationship found between risk instruments and severity of violence, though the risk assessment measures did show good concurrent validity.

Current literature suggests that the Level of Service Inventory (LSI) and its derivatives (LSI-R, LS/CMI, LSI-OR) are capable of predicting violent recidivism, even though they were not initially designed for this function (Girard & Wormith, 2004; Mills & Kroner, 2006). The purpose of this study was to generate violence prediction scales, based on items or subscales from the LSI-OR, using five different statistical techniques. These analyses were completed on the full construction sample, then the males and the females separately to determine how the scales differ from each other and what, if any, benefits would accrue from utilizing a gender-specific scale.<p> A cohort of 27,027 offenders who were released from custody or entered into community supervision over a one year period was included in the study. There was an average followup time of 4.4 years. In this sample there was a general recidivism rate of 36.0% and a violent recidivism rate of 11.3%. Fifteen violence prediction scales were generated that ranged in predictive validity from r = .139 to r = .214. The scale with the highest predictive validity was the 11 item scale created from the full sample using the item linear regression technique. The scale contained items indicating that history of assault, lack of education and anger management issues were related to violent recidivism. Risk levels were developed for this new scale to classify offenders from very low to very high risk.<p> Although there was little difference in the predictive validity of the generated scales, the stepwise multiple linear regression technique was identified as the most successful method of creating a tool for predicting violent recidivism. There was no increase in predictive validity when using the scale that was developed for just the females in the sample, although fewer items were consistently generated for females than males. Therefore the full sample item linear regression scale is recommended for the prediction of violent recidivism of both male and female offenders in the jurisdiction from which the data were collected. Future research directions may replicate this study in other populations and further analyze the gender differences in violent recidivism.

Current literature suggests that the Level of Service Inventory (LSI) and its derivatives (LSI-R, LS/CMI, LSI-OR) are capable of predicting violent recidivism, even though they were not initially designed for this function (Girard & Wormith, 2004; Mills & Kroner, 2006). The purpose of this study was to generate violence prediction scales, based on items or subscales from the LSI-OR, using five different statistical techniques. These analyses were completed on the full construction sample, then the males and the females separately to determine how the scales differ from each other and what, if any, benefits would accrue from utilizing a gender-specific scale.<p> A cohort of 27,027 offenders who were released from custody or entered into community supervision over a one year period was included in the study. There was an average followup time of 4.4 years. In this sample there was a general recidivism rate of 36.0% and a violent recidivism rate of 11.3%. Fifteen violence prediction scales were generated that ranged in predictive validity from r = .139 to r = .214. The scale with the highest predictive validity was the 11 item scale created from the full sample using the item linear regression technique. The scale contained items indicating that history of assault, lack of education and anger management issues were related to violent recidivism. Risk levels were developed for this new scale to classify offenders from very low to very high risk.<p> Although there was little difference in the predictive validity of the generated scales, the stepwise multiple linear regression technique was identified as the most successful method of creating a tool for predicting violent recidivism. There was no increase in predictive validity when using the scale that was developed for just the females in the sample, although fewer items were consistently generated for females than males. Therefore the full sample item linear regression scale is recommended for the prediction of violent recidivism of both male and female offenders in the jurisdiction from which the data were collected. Future research directions may replicate this study in other populations and further analyze the gender differences in violent recidivism.

When assessing the risk of violence, increasing interest has been shown in bringing science and practice closer together. Moving from clinical intuition in the first generation of risk assessment via actuarial scales in the second generation to the structured professional judgments where risk assessments are today produces better, more valid results when assessing the risk of violence. One of the best predictors of violence is gender. Approximately 10% of the violent criminality can be attributed to women; even so, it is increasing, especially among young women. It is therefore important to examine risk assessments from a gender perspective. Another important factor when assessing the risk of violence is psychopathy and there are indications that there might be gender differences in this diagnosis. Thus, a special interest has been focused on psychopathy in this thesis. The purpose with this work is to explore the similarities and differences in assessing risk for violence in male and female mentally disordered offenders, while the overall aim is to validate the violence risk assessment instrument HCR-20 for Swedish offender populations. The risk assessments for all six studies in this thesis were made by trained personnel using the HCR-20 instrument, where psychopathy was diagnosed with the screening version of the Psychopathy Checklist (PCL:SV). The study populations were both male and female mentally disordered offenders in either the correctional or the forensic setting. The findings show that both the validity and the reliability of the HCR-20 and the PCL:SV were good and the clinical and risk management subscales were found to have better predictive validity than the historical scale. Another finding was that there were more similarities than differences between genders in the HCR-20, while the opposite applied to the PCL:SV, where the antisocial behavior was performed in a different manner. Moreover, it was found that the gender of the assessor might be a factor to take into account when assessing the risk of violence in women, where the recommendation was that at least one assessor should be female. The conclusions were that the HCR-20 and the PCL:SV can be used In Swedish offender populations with valid results. For female offenders, there are differences in the antisocial behavior that is assessed in order to diagnose psychopathy and these differences tend to underestimate psychopathy among female offenders. Furthermore, the gender of the assessor might be of greater importance than has previously been realized. The overall conclusion was that this thesis supports the structural professional judgment method of making risk assessments in order to prevent violence in the community.

When assessing the risk of violence, increasing interest has been shown in bringing science and practice closer together. Moving from clinical intuition in the first generation of risk assessment via actuarial scales in the second generation to the structured professional judgments where risk assessments are today produces better, more valid results when assessing the risk of violence. One of the best predictors of violence is gender. Approximately 10% of the violent criminality can be attributed to women; even so, it is increasing, especially among young women. It is therefore important to examine risk assessments from a gender perspective. Another important factor when assessing the risk of violence is psychopathy and there are indications that there might be gender differences in this diagnosis. Thus, a special interest has been focused on psychopathy in this thesis. The purpose with this work is to explore the similarities and differences in assessing risk for violence in male and female mentally disordered offenders, while the overall aim is to validate the violence risk assessment instrument HCR-20 for Swedish offender populations. The risk assessments for all six studies in this thesis were made by trained personnel using the HCR-20 instrument, where psychopathy was diagnosed with the screening version of the Psychopathy Checklist (PCL:SV). The study populations were both male and female mentally disordered offenders in either the correctional or the forensic setting. The findings show that both the validity and the reliability of the HCR-20 and the PCL:SV were good and the clinical and risk management subscales were found to have better predictive validity than the historical scale. Another finding was that there were more similarities than differences between genders in the HCR-20, while the opposite applied to the PCL:SV, where the antisocial behavior was performed in a different manner. Moreover, it was found that the gender of the assessor might be a factor to take into account when assessing the risk of violence in women, where the recommendation was that at least one assessor should be female. The conclusions were that the HCR-20 and the PCL:SV can be used In Swedish offender populations with valid results. For female offenders, there are differences in the antisocial behavior that is assessed in order to diagnose psychopathy and these differences tend to underestimate psychopathy among female offenders. Furthermore, the gender of the assessor might be of greater importance than has previously been realized. The overall conclusion was that this thesis supports the structural professional judgment method of making risk assessments in order to prevent violence in the community.

Although studies examining juvenile recidivism have focused primarily on violent recidivism, the factors that predict recidivism likely differ by offense type. To examine general, property, and violent recidivism, this study combined individual-level data (i.e., offender and case characteristics) from the Mississippi Youth Court Information Data System (MYCIDS) for the years 2009-2011 and contextual-level data (i.e., county characteristics) from the 2010 U.S. Census and the 2010 Uniform Crime Reports (UCR). Results showed that offender characteristics predicted only general and property recidivism, but case characteristics mattered for all three types (i.e., general, violent, and property recidivism). Contextual characteristics (i.e., the percentage of the population that is male aged 15 to 24) also mattered, but only for property recidivism. These findings have implications for policies and programs related to the treatment of juvenile offenders.