Lights and shadows on sustainability rating scoring

Many organizations currently publish sustainability ratings that quantify the sustainability of firms by aggregating scores. These organizations analyze companies in economic, social, environmental and corporate governance terms. However, some of these scores are associated with problems of how positive and negative assessments are offset. This work proposes a methodology for using fuzzy logic in the design of a comprehensive sustainability rating for firms. This technique for measuring sustainability addresses the complexity of the concept and enables the incorporation of expert knowledge into the system of assessment. This approach is applied to organizational information taken from the 2008 Accountability Rating and corrects one of the weaknesses revealed by methodologies based on the aggregation of scores—the offset effect—enabling decision-maker to manage it. This is considered an important research topic because of the growth of social responsible financial markets, and the fact that investors are demanding more accurate information.     

Social work education in Spain: evaluation and challenges for a new generation of social workers

ABSTRACT

The European social integration model was built on two main pillars: employment and access to the welfare state. European social work education was mainly oriented to training professionals in order to promote this inclusion through case management and the provision of benefits. This influence was very intense in the curricular content of Spanish social work programs. The new social risks and the European convergence in higher education have promoted curricular changes, but is it enough?. This paper aims to identify the content and limits of current social work education in Spain. To this end, a comparative analysis of social work education in public universities of Spain was performed. This information has been contrasted with professionals, teachers and social work students. The results evidence the gap of these contents with the real professional needs. This paper proposes several alternatives and approaches in new intergenerational methodologies and technological tools to train a new generation of social workers     

A Universal QQ-Plot for Continuous Non-homogeneous Populations

This article presents a universal quantile-quantile (QQ) plot that may be used to assess the fit of a family of absolutely continuous distribution functions in a possibly non-homogeneous population. This plot is more general than probability plotting papers because it may be used for distributions having more than two parameters. It is also more general than standard quantile-quantile plots because it may be used for families of not-necessarily identical distributions. In particular, the universal QQ plot may be used in the context of non-homogeneous Poisson processes, generalized linear models, and other general models.     

Multifamily therapy in the community mental health network: A pragmatic randomized and controlled study

Multifamily therapy (MFT) is a psychotherapeutic group intervention for patients with severe mental disorders (SMDs) and their families. The present study is a multicenter, randomized, and controlled trial that analyzes the benefit of MFT during outpatient treatment. The recruited patients were randomly assigned to the experimental group (n = 26), which received 24 MFT sessions in addition to their treatment as usual (TAU), or to the control group (n = 29), which received only TAU (individual and family sessions). Six months after the inclusion in the MFT, the experimental group showed a significant decrease in number of visits to the psychiatric emergency services, number of psychiatric admissions, and the days of admission. The need for hospital care 6 months after recruitment was also lower in the experimental group compared to the control group. These results suggest that the implementation of MFT during outpatient treatment facilitates community management of people diagnosed with mental health problems.     

Why die for my sibling? The positive association between identity fusion and imagined loss with endorsement of self-sacrifice / ¿Por qué morir por un hermano? La asociación positiva entre la fusión de identidad y la pérdida imaginada con la disposición al autosacrificio

Abstract

Identity fusion — a visceral feeling of connection with a group — is a powerful predictor of willingness to engage in extreme pro-group behaviour. Here we propose that identity fusion also reinforces willingness to fight and die for one’s siblings, and we explore one of the underlying mechanisms producing this effect. We additionally controlled for a powerful predictor of family investment, perceived psychological similarity with the sibling. Our study shows that fusion with a sibling, but not perceived similarity, is positively associated with willingness to fight and die for the sibling. This relation is mediated by the imagined personal consequences of losing one’s sibling. This research extends previous work on fusion with groups to pairs of individuals and identifies a new mediator of the effect of fusion on willingness to fight and die for others. Overall, these results suggest that identity fusion might contribute towards explaining self-sacrifice among genetically related individuals as predicted by the theory of kin selection.     

Inequality in the “Cradle of Liberty”: Race/Ethnicity and Wealth in Greater Boston

New data collected for the Boston Metropolitan Statistical Area provide detailed information on financial assets that allow analysis to extend beyond the traditional black–white divide. Targeting US-born blacks, Caribbean blacks, Puerto Ricans, Dominicans, and other Hispanics, findings from the National Asset Scorecard for Communities of Color survey underscore the large racial and ethnic disparities in financial wealth, even after controlling for demographic and socioeconomic status. Further, some notable differences between Boston’s communities of color highlight the importance of detailed analyses for research on the racial wealth gap. In particular, among non-white communities Dominicans report comparatively low asset and high debt amounts, while Caribbean blacks report relatively higher levels of wealth. Altogether, these findings point to the need for wealth building opportunities in communities of color and further investigation of the causes and consequences of financial disparities between groups of color disaggregated by specific ancestral origin.     

Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate-specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized risk-based screening strategies.     

A Correlation Test for Normality Based on the Lévy Characterization

A powerful test of fit for normal distributions is proposed. Based on the Lévy characterization, the test statistic is the sample correlation coefficient of normal quantiles and sums of pairs of observations from a random sample. Since the test statistic is location-scale invariant, critical values can be obtained by simulation without estimating any parameters. It is proved that this test is consistent. A power comparison study including some directed tests shows that the proposed test is competitive, it is more powerful than the well-known Jarque–Bera test, and it is comparable to Shapiro–Wilk test against a number of alternatives.