Forensic Evaluation in Alleged Sibling Incest Against Children

Sibling incest is a serious form of intrafamilial sexual abuse with health, social, and legal relevance. A retrospective study was conducted through the analysis of forensic medical reports of the alleged sibling incest of victims under 18 years old (n = 68) from 2004 to 2011 as well as the respective judicial outcomes. Results demonstrated that sibling’s sexual abuse is associated with several circumstances that might exacerbate its severity such as vaginal, anal, and/or oral penetration. Moreover, the victim’s young age, the proximity between victim and abuser, and the fact that it is committed at the victim’s and/or abuser’s home and by using physical violence and verbal threats justify a late detection of these cases.     

Technological innovation and operational effectiveness: their role in achieving performance improvements

The purpose of this article is to examine the role of the alignment between technological innovation effectiveness and operational effectiveness after the implementation of enterprise information systems, and the impact of this alignment on the improvement in operational performance. Confirmatory factor analysis was used to examine structural relationships between the set of observed variables and the set of continuous latent variables. The findings from this research suggest that the dimensions stemming from technological innovation effectiveness such as system quality, information quality, service quality, user satisfaction and the performance objectives stemming from operational effectiveness such as cost, quality, reliability, flexibility and speed are important and significantly well-correlated factors. These factors promote the alignment between technological innovation effectiveness and operational effectiveness and should be the focus for managers in achieving effective implementation of technological innovations. In addition, there is a significant and direct influence of this alignment on the improvement of operational performance. The principal limitation of this study is that the findings are based on investigation of small sample size.     

CAN WE INFER HOSPITAL QUALITY FROM MEDICAL GRADUATES’ RESIDENCY CHOICES?

This paper uses a novel approach to infer hospital technical quality from revealed preferences over residency programs. Specifically, we use Spanish medical graduates’ residency choices made from 1995 to 2000. We start by estimating a model of medical graduates preferences that controls for hospital, proximity, specialty, and gender effects. We interpret the coefficients on the hospital dummy variables as measures of medical graduates’ preferences over hospitals. Our results show that graduates do indeed discriminate between hospitals and that their preferences correlate with hospital‐specific covariates arguably related to hospital training quality. We then show that preferences from medical graduates are positively and statistically significantly correlated with risk‐adjusted hospital rankings based on five alternative outcome measures. Finally, we construct reputation scores for each hospital using news story counts in three media outlets and find that medical graduates’ preferences are especially valuable for inference of hospital technical quality of care as they do not simply reflect well known reputation.     

Estimating and Testing a Structured Covariance Matrix for Three-Level Multivariate Data

This article considers an approach to estimating and testing a new Kronecker product covariance structure for three-level (multiple time points (p), multiple sites (u), and multiple response variables (q)) multivariate data. Testing of such covariance structure is potentially important for high dimensional multi-level multivariate data. The hypothesis testing procedure developed in this article can not only test the hypothesis for three-level multivariate data, but also can test many different hypotheses, such as blocked compound symmetry, for two-level multivariate data as special cases. The tests are implemented with two real data sets.     

Do Mediterraneans really do it better? Explaining the lower gender wage gap in southern European countries

This article sets out to help provide a more detailed explanation for the narrower gender wage gap in Mediterranean countries. Two explanatory hypotheses are put forward and compared empirically using the European Union Statistics on Income and Living Conditions (EU‐SILC). The most widely accepted hypothesis is that gender wage gaps across countries are negatively correlated with gender employment gaps. The second hypothesis, however, is supported by evidence that the narrower wage gap in Mediterranean countries could be due to the differences in demand for labour in EU countries as a result ultimately of decisions by major corporations concerning the location of the activities in their value chain.     

Continuous covariate frailty models for censored and truncated clustered data

Using some logarithmic and integral transformation we transform a continuous covariate frailty model into a polynomial regression model with a random effect. The responses of this mixed model can be ‘estimated’ via conditional hazard function estimation. The random error in this model does not have zero mean and its variance is not constant along the covariate and, consequently, these two quantities have to be estimated. Since the asymptotic expression for the bias is complicated, the two-large-bandwidth trick is proposed to estimate the bias. The proposed transformation is very useful for clustered incomplete data subject to left truncation and right censoring (and for complex clustered data in general). Indeed, in this case no standard software is available to fit the frailty model, whereas for the transformed model standard software for mixed models can be used for estimating the unknown parameters in the original frailty model. A small simulation study illustrates the good behavior of the proposed method. This method is applied to a bladder cancer data set.     

Longitudinal Analysis of the Domains of Satisfaction Before and After Disability: Evidence from the German Socio-Economic Panel

The aim of this paper is to analyse the effect of the onset of disability on life satisfaction and five different domains of satisfaction (health, household income, housing, job, leisure) for German individuals. Particular attention is paid to examining whether individuals can adapt to disability over time before and after its onset in terms of satisfaction. Using longitudinal data from the German Socio-Economic Panel (GSOEP) for the period 1984?C2008, we estimate an innovative fixed-effects model on life satisfaction and each domain of satisfaction for working-age males (aged 21?C58), which allows us to estimate lag and lead effects and thus to test the anticipation and adaptation hypotheses. Although individual obtain complete adaptation to disability in terms of global life satisfaction (5?years after the onset), this adaptation is not complete in all domains of satisfaction. For example, despite the fact that the levels of health satisfaction drop as the individual becomes disabled, after the onset it increases but the levels are lower than those reached before the onset. In contrast, the adaptation is especially faster in the terms of leisure satisfaction (3?years after the onset), household income and housing satisfaction (5?years after the onset in both cases). Our results support the findings obtained in other psychological studies that conclude that the domain of disability extends far beyond health related concerns to encompass the person??s well-being definition of self and social position. Finally, these findings may help policy makers and government to promote social and economic measures and actions lead to increase the scores of global well-being and specific domains of satisfaction of this collective.     

When gender bumps into health and safety training: working conditions, readings and challenges drawn from a case study in an industrial chemicals company

Health, safety and environmental issues are at present a social concern and an increasingly referred topic in the so called gender studies. This paper focuses on the relations between training, gender and risk perception in an industrial chemicals company, in Portugal, characterized by a mainly male population and by the presence of high occupational and environmental hazards. After characterizing the company and the training project that started up this reflection, the paper presents the reasons for its focus on gender followed by the essential methodological explanations: 14 interviews were made with male and female workers from the company; their content was transcribed from the audio recordings and it was systematically analyzed. A gender-attentive socio demographic analysis was also undertaken. Although at the beginning the company did not consider the gender issues as a problem nor was it the central topic of the training, which focused on the prevention of occupational and environmental hazards, the results reveal that the gender factor brought to light some working conditions, which so far have not been properly discussed within the group meetings. As a consequence, there is now room for the transformation of the representations on those working conditions.