Predicting dropout from a residential programme for adolescent sexual abusers using pre-treatment variables and implications for recidivism

Abstract

This study addresses the prediction that dropout from a UK specialized residential treatment program for adolescent sexual abusers can be determined from pre-treatment variables. Participants were 49 adolescents aged 12–16?years, who had sexually abused children, peers/adults or both. Of the variables examined, 25 showed a significant association with treatment dropout. A scale, consisting of 20 items, was designed to predict treatment dropout. As a measure it showed internal consistency (alpha?=?0.84) and predictive validity. Treatment dropout was linked to a greater risk of recidivism: offences of a general; violent; and combined violent or sexual nature. Missing data confounded the overall small sample size; therefore, a brief checklist of factors associated with dropout was produced as a guide for treatment managers and clinicians.     

A two-level model for evidence evaluation

A random effects model using two levels of hierarchical nesting has been applied to the calculation of a likelihood ratio as a solution to the problem of comparison between two sets of replicated multivariate continuous observations where it is unknown whether the sets of measurements shared a common origin. Replicate measurements from a population of such measurements allow the calculation of both within-group and between-group variances/covariances. The within-group distribution has been modelled assuming a Normal distribution, and the between-group distribution has been modelled using a kernel density estimation procedure. A graphical method of estimating the dependency structure among the variables has been used to reduce this highly multivariate problem to several problems of lower dimension. The approach was tested using a database comprising measurements of eight major elements from each of four fragments from each of 200 glass objects and found to perform well compared with previous approaches, achieving a 15.2% false-positive rate, and a 5.5% false-negative rate. The modelling was then applied to two examples of casework in which glass found at the scene of the criminal activity has been compared with that found in association with a suspect.     

Guidelines for postmortem protocol for ocular investigation of sudden unexplained infant death and suspected physical child abuse

Postmortem examination is a cornerstone in identifying the cause of unexplained sudden death in children. Even in cases of suspected or known abuse, an autopsy may help characterize the nature of the abuse, which is particularly important in the forensic autopsy of children in the first 3 to 4 years of life when inflicted neurotrauma is most common. Forensic examinations are vital in cases that might otherwise be diagnosed as sudden infant death syndrome. The ocular autopsy in particular may demonstrate findings that were not appreciated on antemortem clinical examination. This protocol for postmortem examination of the eyes and orbits was developed to promote more consistent documentation of findings, improved clinical and forensic decision making, and more replicable and coherent research outcomes.     

Online victimization risk and self-protective strategies: developing police-led cyber fraud prevention programs

ABSTRACT

The prevalence and impact of cyber fraud continues to increase exponentially with new and more innovative methods developed by offenders to target and exploit victims for their own financial reward. Traditional crime reaction methods used by police have proved largely ineffective in this context, with offenders typically located outside of the police jurisdiction of their victims. Given this, some police agencies have begun to adopt a victim focused, crime prevention approach to cyber fraud. The current research explores with a sample of two hundred and eighteen potential cyber fraud victims, the relationship between online victimization risk, knowledge and use of crime prevention strategies. The study found those most at risk of cyber fraud victimization despite accurate perceptions of risk and knowledge of self-protective behaviors in the online environment underutilise online prevention strategies. This research has important implications for police agencies who are designing and delivering cyber fraud education. It provides guidance for the development of effective prevention programs based on practical skills development.     

Unfree labour in immigration detention: exploitation and coercion of a captive immigrant workforce

This paper focuses on labour within immigration detention in the United Kingdom, offering an original national case study as well as a new conceptual framework for analysing such practices. It does so through an innovative engagement with recent literatures on forced labour, unfreedom and hyper-precarity, particularly amongst irregular migrants. We advance two key arguments in this paper. First, that the available data on labour within immigration detention indicate that detainees should legally be considered employees and granted access to labour protections, including the national minimum wage. Second, that work in immigration detention is an example of state-sanctioned exploitative, coercive and unfree labour amongst a hyper-precarious group of the population. This case has implications for other country contexts where immigration detention is used.