Developing a Common Language in Children's Services through Research‐based Inter‐disciplinary Training

Two sources of inertia to improving services for children in need are the difficulties of getting evidence into practice and the complications of inter‐agency working. Current training arrangements in social work and disparities between children's services professions as regards training requirements are contributory factors. The Common Language project is a work in progress, adopting a research‐based, inter‐disciplinary approach to working with social workers and other children's services professionals. It comprises core ideas and methods to complement the more specialist knowledge and skills required in each profession. Underpinned by a child development perspective and a scientific development cycle, it rests on a conceptual framework including need, threshold, service and outcome. The approach has three components (each of which includes training): (1) the implementation of practice tools; (2) the planning and development of integrated services; and (3) supporting materials, including practitioner‐orientated modules and a curriculum for PhD students. Distinguishing features include research utilisation, notably a focus on inculcating research‐mindedness as opposed to imparting findings, and also collaborative professional working, in particular via practical connections between different agencies, stakeholders and countries. The project is being evaluated in terms of uptake, change in professional thinking and practice and effects on child well‐being. Next steps for the project relate to broader lessons for social work training emerging from research and development elsewhere.     

Associations between gambling,substance misuse and recidivism among Canadian offenders: a multifaceted exploration of poor impulse control traits and behaviours

Moderate correlations among gambling, substance use and crime suggest these three behaviours may each be indicators of a single underlying problem trait, such as poor impulse control. We tested whether self-reported traits prospectively predicted future criminal recidivism, when accounting for incarcerated adult offenders' past criminal behaviour, substance use and gambling behaviour. We took a multi-construct approach to measuring components of impulse control, utilizing three questionnaires that assess sensation seeking, poor premeditation, and reward sensitivity. Male participants incarcerated in two federal institutions were invited to complete self-report booklets; participation was self-selected and fully voluntary. Results indicated moderate correlations between measures of trait impulse control, self-reported drug use, and official criminal history (N = 140). Gambling problems prospectively predicted post-release criminal recidivism (n = 83), even when accounting for past criminal behaviour, impulse control traits and substance misuse. Although they represent a small percentage of this sample, results suggest offenders with high gambling problems represent a particularly at-risk group for future crime, who were more than four times likely to reoffend compared to offenders without problem gambling. These results suggest there may be mutual impact of problem behaviours on life outcomes above the contribution of poor impulse control.     

Global anti-corporate struggle: a preliminary analysis

This paper offers a preliminary analysis of the recent wave of anti-corporate protest that has swept across numerous countries throughout the world. In the first part of the paper the social structure of this phenomenon is examined. Specifically, it is argued that it should be understood as a 'field', in Pierre Bourdieu's sense of the term. In the second part of the paper the factors which account for the emergence of this field are explored, using a 'value-added' model which focuses upon the interplay of strains, situational definitions, focal events, opportunities and the circulation of protest relevant resources. The paper is conceived as a preliminary analysis which outlines a framework and draws out important themes. It is not offered as a complete account but rather as a basis from which more specific and focused studies might stem.     

Efficient Algorithms for Similarity Search

The problem of our interest takes as input a database of m sequences from an alphabet and an integer k. The goal is to report all the pairs of sequences that have a matching subsequence of length at least k. We employ two algorithms to solve this problem. The first algorithm is based on sorting and the second is based on generalized suffix trees. We provide experimental data comparing the performances of these algorithms. The generalized suffix tree based algorithm performs better than the sorting based algorithm.     

A Different Take on the Deliberative Poll: Information, Deliberation, and Attitude Constraint

Opinion pollsters, political scientists, and democratic theoristshave long been concerned with the normative and methodologicalimplications of nonattitudes (Converse 1964). Of the proposedremedies to the weak and labile attitudinal responses profferedby an uninformed and disinterested public, perhaps the mostambitious to date has been Fishkin’s concept of the deliberativepoll (Fishkin 1991, 1995, 1997). Combining probability samplingwith information intervention and increased deliberation affordsa unique insight into what might be considered the true "voiceof the people." Yet, while deliberative polling draws heavilyon the general notion of political sophistication (Luskin 1987),empirical analyses have tended to focus almost entirely on howthe process of deliberation impacts on marginal totals of attitudeitems at both the individual and aggregate level (Fishkin 1997;Luskin, Fishkin, and Jowell 2002; Sturgis 2003). Little attention,in contrast, has been paid to outcomes that relate to otherdimensions of opinion quality, such as attitude constraint.Constraint refers to the level of consistency between attitudeswithin an individual belief system that arises from a combinationof logical, social, and psychological factors (Converse 1964).In this article we analyze data from five deliberative pollsconducted in the United Kingdom in the 1990s in order to investigatethe impact of political information and deliberation on attitudeconstraint. Across a broad range of issue areas we evaluatethe extent to which the deliberative process impacts on statisticalassociations among attitude items between the first and subsequentwaves of the polls. We conclude by discussing the implicationsof our results for the validity and reliability of survey measuresof the attitude and the broader utility of the deliberativepolling method as a tool of social scientific inquiry.     

Development of a screen for ongoing intimate partner violence

A five-question Ongoing Abuse Screen (OAS) was developed to evaluate ongoing intimate partner violence. Our hypothesis was that the OAS was more accurate and more likely to reflect ongoing intimate partner violence than the AAS when compared to the Index of Spouse Abuse (ISA). The survey included the ISA, the OAS, and the AAS. During the busiest emergency department hours, a sampling of 856 patients completed all aspects of the survey tool. Comparisons were made between the two scales and the ISA. The accuracy, positive predictive value, and positive likelihood ratio were 84%, 58%, and 6.0 for the OAS and 59%, 33%, and 2.0 for the AAS. The OAS was more accurate, had a better positive predictive value, and was three times more likely to detect victims of ongoing intimate partner violence than the AAS. Because the OAS was still not accurate enough, we developed a new screen, based on the ISA, titled the Ongoing Violence Assessment Tool (OVAT).     

Exploring the Dimensionality of Trust in Risk Regulation

This article investigates possible differential levels of trust in government regulation across five different risk contexts and the relationship between a number of concepts that might be thought of as comprising distinctive "dimensions" of trust. It appeared that how people perceive government and its policies toward risk regulation was surprisingly similar for each of the five risk cases. A principal-component analysis showed that the various trust items could best be described by two dimensions: a general trust dimension, which was concerned with a wide range of trust-relevant aspects, such as competence, care, fairness, and openness, and a scepticism component that reflects a sceptical view regarding how risk policies are brought about and enacted. Again, the results were surprisingly similar across the five risk cases, as the same solution was found in each of the different samples. It was also examined whether value similarity has an additional value in predicting trust in risk regulation, compared to the more conventional aspects of trust. Based on the two independent trust factors that were found in this study, a typology of trust is proposed that ranges from full trust to a deep type of distrust. It is argued that for a functioning society it could well be more suitable to have critical but involved citizens in many situations.     

Uncertainty in functional principal component analysis

Principal component analysis (PCA) and functional principal analysis are key tools in multivariate analysis, in particular modelling yield curves, but little attention is given to questions of uncertainty, neither in the components themselves nor in any derived quantities such as scores. Actuaries using PCA to model yield curves to assess interest rate risk for insurance companies are required to show any uncertainty in their calculations. Asymptotic results based on assumptions of multivariate normality are unsatisfactory for modest samples, and application of bootstrap methods is not straightforward, with the novel pitfalls of possible inversions in order of sample components and reversals of signs. We present methods for overcoming these difficulties and discuss arising of other potential hazards.