![]() ![]() Understanding youth violence requires first careful measurement of the prevalence and incidence of those behaviors that can be called violent. Kingery, Hamilton Fish National Institute on Schoo A Comparative Investigation Into Estimating Youth Violence: Instruments ande Outcomes From ‘this little acorn might oak trees have grown’ within the UK and this presentation will attempt to give an overview of the growth and nuturing of just some of these seeds and how in the year 2000 RV forests are appearing everywhere. ![]() So much has been achieved in the area of Repeat Victimisation (RV) since the first British Home Office funded research in the mid-1980’s (Forrester et al. The Crime and Disorder Act 1999 has empowered police and partners to work together in tackling crime and the targeting of repeat burglary and domestic violence offences are just two areas where police officers and local partnerships have proved to be strong and effective allies. Sylvia Chenery, University of Huddersfield.A British Perspective to Repeat Victimization in the Year 2000 Dynamic predictors discussed are educational attainment, substance abuse, work skills, and family and community ties. We also argue for the inclusion of “dynamic” predictors in both male and female classification systems, that is, measures of inmate characteristics that both predict prison misconduct and are putatively changeable in a positive misconduct reducing way, through participation in appropriate prison programs. We conclude that both the small number of females in prison populations and the low female violent misconduct base rate, requires either a larger sample of females, than is available in any prison population at a given time, or adoption of statistical techniques sensitive to low base rates, in order to detect significant predictor variables. One exception is the seriousness of the incarcerating offense, which contributes significantly to predicting male, but not female violence. With the much larger prison admission cohort data base, we find that most classification items predict violence similarly for males and females. It was also shown, that while classification scores predicted prison violence nearly as well for males and females, that the degree particular items contribute to the classification score’s predictive power, differed for men and women. Females have lower rates of prison violence and commit less serious violence than males. The earlier analysis found both quantitative (rate) and qualitative (seriousness) differences between male and female prison violence. We extend our earlier analysis of female prison violence and female inmate risk classification which relied on data for a cross section of the Federal prison population, with a data set for all newly sentenced cohorts for 1991 through 1997. Fellowships & Visiting Scholar PositionsĪ B C D E F G H I J K L M N O P Q R S T U V W X Y Z A A Bad Woman is Hard to Find: Female Prisoner Risk Classification, Part II.Criminology: An Interdisciplinary Journal. ![]()
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