Developing a Family Risk Assessment Tool in Adolescent Offenders: An Exploratory Study

The quality of family relations it is a relevant risk or protective factor in the adolescent criminal involvement, being the interplay between family and adolescent individual features, fundamental issues in the understanding of the adolescent risk and strengths assessment. This study aims to contribute to the validation of the Structured Interview of Family Assessment Risk (SIFAR) tool for the adolescent offenders’ family, based in nine family living items as risk factors and four protective factors. In an exploratory design, the structural consistency of SIFAR was analyzed using Cronbach’s alpha, mean inter-item correlation and exploratory factor analysis over risk items, because of the protective items dichotomous scale. The participants were a sample of 130 male adolescent delinquents detained in Portuguese facilities of the Directorate-general of Social Rehabilitation and Imprisonment, and their parents, paired analyzed. The SIFAR presents a structured professional judgment design for adolescent offender’s family protective and risk assessment. A reliability value of .75 was obtained for the risk items education, employment, housing/transport, legal problems, social dissonance, poverty, social net, social security and parenting, and an .79 was registered to the protective items family involvement, high discipline, low physical punishment and low parental stress. The risk items revealed a two-factor structure (social-economics and social conformity factors) explaining 48.15 % of the total variance. Results show the potential usefulness of SIFAR in the assessment the family protective and risk factors of adolescent offenders, presenting adequate structural reliability and construct validity. However further investigation it is necessary to the validation process of this tool.     

Disability and participation in post-conflict situations: the case of Sierra Leone

This article describes four unexpected and spontaneous themes emerging from qualitative research based on the International Classification of Disability Functioning and Health, which took place in Sierra Leone, West Africa: the desire to live in a community of people with disabilities; the desire to be recognized as equal citizens and be given equal opportunities; the desire to become economically independent; and a high expectation of assistance. This article discuses the impact of these themes on two debates: the integration versus segregation of individuals and disability services, and the disability poverty cycle. The results of this study challenge non-governmental organizations to be aware of the Western norms and values of disability issues that are applied to the implementation of their programmes in low-income nations.     

Inclusion and/or Integration: the debate is still on in Brazil

The paper states the confusion still present in the Brazilian debates about inclusion and integration. Drawing from the Brazilian legislation and conceptualisations, the paradigmatic difference between inclusion and integration is discussed, and seen by the author as part of a historical process towards further humanisation. Rather than arguing for one or another, it is pointed that in some contexts, because of their histories and timing, perhaps the most appropriate is to consider the existence of both as equally important.     

Copula, marginal distributions and model selection: a Bayesian note

Copula functions and marginal distributions are combined to produce multivariate distributions. We show advantages of estimating all parameters of these models using the Bayesian approach, which can be done with standard Markov chain Monte Carlo algorithms. Deviance-based model selection criteria are also discussed when applied to copula models since they are invariant under monotone increasing transformations of the marginals. We focus on the deviance information criterion. The joint estimation takes into account all dependence structure of the parameters’ posterior distributions in our chosen model selection criteria. Two Monte Carlo studies are conducted to show that model identification improves when the model parameters are jointly estimated. We study the Bayesian estimation of all unknown quantities at once considering bivariate copula functions and three known marginal distributions.     

Bridging semantic and social network analyses: the case of the hashtag #precisamosfalarsobreaborto (we need to talk about abortion) on Twitter

This paper presents an innovative method design that combines semantic with social network analysis in order to measure opinion leadership in social networking sites in a more accurate way. We used this method to assess the efficacy of the TPM magazine in disseminating its pro-decriminalization of abortion frames (contained in the cover story of its 148th issue) that were associated with the hashtag #precisamosfalarsobreaborto (a trending topic in November 2014). The data were collected from Twitter through the data-mining application NodeXL (N?=?1010). A content analysis of a random sample was carried out (N?=?376; margin of error?=?4%; confidence interval?=?95%; Krippendorff’s alpha?=?0.661). Using the software Gephi, we plotted the data on a socio-semantic graph, which indicates that (a) the border of the social network does not represent a semantic gap with the center and (b) despite the network being extremely like-minded, one of its hubs appears to be what we conceptualize as a hotspot of contestation. We discuss how future research may replicate and refine our methodology to handle population datasets and big data as well.     

Complexity properties of complementary prisms

The complementary prism \(G\bar{G}\) of a graph G arises from the disjoint union of the graph G and its complement \(\bar{G}\) by adding the edges of a perfect matching joining pairs of corresponding vertices of G and \(\bar{G}\). Haynes, Henning, Slater, and van der Merwe introduced the complementary prism and as a variation of the well-known prism. We study algorithmic/complexity properties of complementary prisms with respect to cliques, independent sets, k-domination, and especially \(P_3\)-convexity. We establish hardness results and identify some efficiently solvable cases.     

A modified approximate method for analysis of degradation data

Estimation of the lifetime distribution of industrial components and systems yields very important information for manufacturers and consumers. However, obtaining reliability data is time consuming and costly. In this context, degradation tests are a useful alternative approach to lifetime and accelerated life tests in reliability studies. The approximate method is one of the most used techniques for degradation data analysis. It is very simple to understand and easy to implement numerically in any statistical software package. This paper uses time series techniques in order to propose a modified approximate method (MAM). The MAM improves the standard one in two aspects: (1) it uses previous observations in the degradation path as a Markov process for future prediction and (2) it is not necessary to specify a parametric form for the degradation path. Characteristics of interest such as mean or median time to failure and percentiles, among others, are obtained by using the modified method. A simulation study is performed in order to show the improved properties of the modified method over the standard one. Both methods are also used to estimate the failure time distribution of the fatigue-crack-growth data set.     

A cointegration analysis of crime,economic activity,and police performance in São Paulo city

The main objective of this paper is to investigate possible causes for the significant reduction observed in crime rates in São Paulo city. By applying a cointegration analysis, we observed long-run relationships between crime, economic activity, and police performance. The results indicate that the lethal crime rate is positively related to unemployment and negatively related to real wages and to the results of law-enforcement activities, specifically arrests and seizure of firearms. Moreover, the hypothesis that the Disarmament Statute led to a reduction in the lethal crime rate is not rejected.