The Effects Of Children'S Age and Delay on Recall in a Cognitive or Structured Interview

The study examined; (i) whether the enhanced cognitive interview (ECI) would aid event recall when used with children, (ii) whether the effects of a delay between the witnessed event and interview would have an impact on the effectiveness of the ECI, (iii) whether the age of the child would have a bearing on the effectiveness of the ECI, and (iv) which category(ies) of event recall might be effected. Thirty-two 8 to 9 year old children and thirty-two 11 to 12 year old children were shown a video recording of a staged shoplifting. Half were interviewed four hours after viewing the event and half after a six day delay. Children were interviewed individually using either the ECI or a structured interview (SI). Those interviewed using the ECI recalled significantly more correct details (especially detail pertaining to actions) with no increase in the reporting of erroneous information. The ECI was found to be a reliable interviewing technique regardless of age and delay.     

Deficits in Theory of Mind,empathic understanding and moral reasoning: a comparison between young offenders and non-offenders

Previous research suggests a lack of pro-social skills is characteristic of an antisocial or offending personality. It is therefore reasonable to assume that an inadequate understanding of another's mental state may contribute to antisocial or offending behaviour. Forty-six young-adult male offenders and a control completed measures to assess: Theory of Mind (ToM), empathic understanding (EU) and moral reasoning. Significant differences in the performance of young-adult offenders and the control group were detected in ToM, EU and moral reasoning with young-adult offenders scoring lower than the control group. A positive association was also found between ToM, EU and moral reasoning. These findings contribute to a further understanding of how individuals make sense of, and respond to, the social world around them. The ability to measure ToM, EU and moral reasoning and subsequently identify any specific deficits, as well as recognise the link between these three key skills, is not only useful for researchers but it will also allow practitioners to tailor existing (or develop new) interventions specific to the needs of an individual. This could be particularly useful in terms of recidivism when applied to those involved in antisocial or offending behaviour.     

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.     

Techniques of Knowing in Administration: Co‐production,Models, and Conservation Law

Law frequently demands the production, sometimes effortful, of adequate knowledge for decision making. This article explores the challenging epistemic demands made by nature conservation law during planning law approval processes for major offshore wind farms. It explores this area through the prism of co‐production: not only are ‘science’ and ‘facts’ socially and legally constructed, but in addition, scientific and factual findings shape society, and law and governance. Models are used in planning law to assess whether bird deaths associated with a proposed wind farm will have an adverse effect on the integrity of a protected site. As much as providing an accurate factual representation of the impact of a wind farm on biodiversity, the models contribute to the very possibility of governing the impact of these novel infrastructure developments on biodiversity.     

Predicting Bureaucratic Control: Evidence from the 1990 Clean Air Act Amendments

The extent to which politicians control bureaucracies that are delegated authority over public policy involves fundamental positive and normative issues for the study of politics. Considerations related to such issues have stimulated a great deal of debate about whether the legislature exercises control over bureaucratic performance. However, establishing the measurable empirical conditions under which elected officials do and do not assure agency responsiveness remains unsettled.
In light of this state of affairs, we try to determine whether it is possible to develop a general means of predicting control, or at least of predicting what we term intent to control, based on the assumption that legislators' preferences toward agency responsiveness reflect the nature of the policy environment. Our application to the Clean Air Act Amendments of 1990 finds strong empirical evidence that statutory provisions vary predictably, depending upon whether legislators possess the requisite technical ability and are likely, or wish, to be held politically accountable. Our results indicate that control varies for reasons that fit well with our understanding of how elected officials deal with complexity and their own political situations. Our findings also imply that subtle, but measurable, differences in the specific policy environment are crucial for understanding control.