Sources of family violence

This paper suggests a direction for the exploration of the causes of family violence. Explanatory models of family violence were considered in this regard, with the recommendation that a multi-determined model should be considered to ensure the most accurate explanation. We suggest that family violence will be best understood and prevented or alleviated, if a model is used that considers the interaction of structural violence and the personality features of all the family members.     

Book reviews

The Political Sociology of Florian Znaniecki and Contemporary Politics (in Polish), Olgierd Sochacki (Ed.) Wydawnictwo Gdanskie, The Scientific Society of Gdansk, 1996

Why Read. Internal Space and the Social Function of Literature: An Investigation with. Psychoanalysts and Psychology Students, Graziella Pagliano (Ed.) Bonanno Editore, 1994

Voix Littéraires de Femmes

Cuadernos sobre Vico, Nos 5–6, José M. Sevilla et al. 1995–96

Studi in memoria di Ernesto Grassi Proceedings of the International Conference in Memory of Ernesto Grassi (Ischia, 4–6 October 1993), Emilio Hidalgo‐Serna and Massimo Marassi (Eds), Napoli, La Città del Sole, 1996

Naples Istituto Italiano per gli Studi Fiosofici, La Gittà del Sole, Napoli, 1996

Family, Women and Employment in Central‐Eastern Europe, Barbara Lobodzinska (Ed.) Greenwood Press, 1995     

Loneliness and Adolescents’ Neural Processing of Self,Friends, and Teachers: Consequences for the School Self‐Concept

The present interdisciplinary study explored whether perceived loneliness is associated with ventromedial prefrontal cortex (vMPFC) activation during self‐ and social judgments (friends and teachers) in adolescents. Moreover, we examined how vMPFC activity is related to the academic self‐concept (ASC). Results of manifest path analysis indicated that high perceived loneliness was related to lower neural response to self‐judgments. In turn, high neural response to self‐judgments was positively associated with the ASC, whereas there was a trendwise negative association between high neural response to teacher‐related judgments and ASC. This study reveals associations between perceived loneliness and neural processing of the self, underlining the idea that feeling isolated from others may hinder self‐insight and, by extension, the formation of a stable academic self‐concept.     

Differences in adolescents’ motivations for indirect,direct, and hybrid peer defending

Adolescents’ defending of peers who are being bullied—or peer defending—was recently found to be a heterogeneous behavioral construct. The present study investigated individual differences in adolescents’ motivations for executing these indirect, direct, and hybrid defending behaviors. In line with the literature on bullying as goal‐directed strategic behavior, we adopted a social evolution theory framework to investigate whether these peer‐defending behaviors could qualify as goal‐directed strategic prosocial behaviors. A sample of 549 Dutch adolescents (49.4% boys; M_age = 12.5 years, SD = 0.6 years) participated in this study. Their peer reported defending behaviors (including bullying behavior as a control variable) and the following behavioral motivations were assessed: (a) agentic and communal goals (self‐report), (b) prosocial and coercive social strategies (peer report), and (c) altruistic and egocentric motivations for prosocial behavior (self‐report). The outcomes of hierarchical linear regression analyses suggest that adolescents’ motivations for executing the different subtypes of peer defending partially overlap but are also different. While indirect defending was fostered by genuine concerns for victims’ well‐being, direct defending was more motivated by personal gains. Hybrid defending combined favorable aspects of both indirect and direct defending as a goal‐directed, strategic, and altruistically motivated prosocial behavior. The implications of these findings are discussed.     

Building a Human Health Risk Assessment Ontology (RsO): A Proposed Framework

Over the last decade the health and environmental research communities have made significant progress in collecting and improving access to genomic, toxicology, exposure, health, and disease data useful to health risk assessment. One of the barriers to applying these growing volumes of information in fields such as risk assessment is the lack of informatics tools to organize, curate, and evaluate thousands of journal publications and hundreds of databases to provide new insights on relationships among exposure, hazard, and disease burden. Many fields are developing ontologies as a way of organizing and analyzing large amounts of complex information from multiple scientific disciplines. Ontologies include a vocabulary of terms and concepts with defined logical relationships to each other. Building from the recently published exposure ontology and other relevant health and environmental ontologies, this article proposes an ontology for health risk assessment (RsO) that provides a structural framework for organizing risk assessment information and methods. The RsO is anchored by eight major concepts that were either identified by exploratory curations of the risk literature or the exposure‐ontology working group as key for describing the risk assessment domain. These concepts are: (1) stressor, (2) receptor, (3) outcome, (4) exposure event, (5) dose‐response approach, (6) dose‐response metric, (7) uncertainty, and (8) measure of risk. We illustrate the utility of these concepts for the RsO with example curations of published risk assessments for ionizing radiation, arsenic in drinking water, and persistent pollutants in salmon.     

Adolescents’ Socio‐Motivational Relationships With Teachers,Amygdala Response to Teacher's Negative Facial Expressions,and Test Anxiety

The amygdala is essential for processing emotions, including the processing of aversive faces. The aim of this multimethodological study was to relate the amygdala reactivity of students (N = 88) toward teachers’ fearful and angry faces, to students’ relationship with their teachers. Furthermore, students’ neural responses during the perception of teachers’ faces were tested as predictors of test anxiety (controlling for neuroticism as a potential trait anxiety effect). Multiple regression analysis revealed that students reporting high‐quality teacher–student relationships showed stronger amygdala activity toward fearful faces, which was related to worry. Furthermore, students with high levels of neuroticism tended to perceive their teachers as motivators and showed higher amygdala activity toward angry faces, which was related to the measures of emotionality.     

Validating Work Discrimination and Coping Strategy Models for Sexual Minorities

The purpose of this study was to validate and expand on Y. B. Chung's (2001) models of work discrimination and coping strategies among lesbian, gay, and bisexual persons. In semistructured individual interviews, 17 lesbians and gay men reported 35 discrimination incidents and their related coping strategies. Responses were coded based on Chung's models. Results supported the validity of the Work Discrimination model and two coping strategy models (Vocational Choice and Identity Management). The Discrimination Management coping strategy model was expanded. Implications for practice and research are discussed.     

Comparison of hazard rates for dependent random variables

In this paper, we define and study a new notion for the comparison of the hazard rates of two random variables taking into account their mutual dependence. Properties, applications and the comparison for a data set are given.     

Confidence intervals based on the deviance statistic for the hyperparameters in state space models

The main objective of this work is to evaluate the performance of confidence intervals, built using the deviance statistic, for the hyperparameters of state space models. The first procedure is a marginal approximation to confidence regions, based on the likelihood test, and the second one is based on the signed root deviance profile. Those methods are computationally efficient and are not affected by problems such as intervals with limits outside the parameter space, which can be the case when the focus is on the variances of the errors. The procedures are compared to the usual approaches existing in the literature, which includes the method based on the asymptotic distribution of the maximum likelihood estimator, as well as bootstrap confidence intervals. The comparison is performed via a Monte Carlo study, in order to establish empirically the advantages and disadvantages of each method. The results show that the methods based on the deviance statistic possess a better coverage rate than the asymptotic and bootstrap procedures.