Understanding the antecedents of aggressive behavior in Persian Gulf War veterans within individual,interpersonal, and community contexts

ABSTRACT

The present study applies the social-ecological framework to examine multiple level correlates of aggressive behavior of veterans of the first Gulf War in 1991. Data were collected from the VA‘s Persian Gulf Family Support Programs (PGFSP), and the sample includes 1,519 veterans who participated in the PGFSP. At the individual level, the study finds that younger and female veterans and those with higher self-esteem were less likely to report displaying aggressive behavior. At the interpersonal level, veterans who displayed misconduct in the home are more likely to display aggressive behavior. At the community level, veterans who were in the Air Force was less likely, while those in the Marines were more likely to be aggressive. Implications for practice are discussed.     

Trends in Female Violence, 1960–1977

Abstract

This paper examines the issue of whether levels of female violent crime are rising. Two differing viewpoints, both using the Uniform Crime Reports as their principal data source, are compared. Both viewpoints suffer because of a failure to specify the major questions on female violent crime and because of inappropriate usage of UCR arrest statistics. The central questions about female violent crime are clarified, and arrest rates are computed to determine whether there has been any change in levels of female violent crime since 1960. The effects of the women's movement on female violent crime are also examined. The conclusion is that female levels of violence are rising, but male levels are increasing at an equal pace. The pattern of the data suggests that the upward trend in female violence, which now appears to be leveling off, is not due to the women's movement or to the changing status of women in the United States. Instead it appears that common social forces are operating to affect levels of violence for both sexes.     

Go to the Hospital or Stay at Home? A Qualitative Study of Expected Hospital Decision Making Among Older African Americans With Advanced Heart Failure

To address the need for more information concerning hospital decision making, we conducted in-depth interviews among African Americans with heart failure and their family caregivers (n?=?11 dyads). Using a case scenario, we asked participants about their anticipated hospitalization decisions. Most patients indicated that they would seek care to avoid further deterioration or death from their worsening condition. Many family caregivers anticipated having an active influence on hospitalization decisions. Findings suggest that social workers should encourage the development of adequate home-based services, recognize diverse communication styles, and use this information to facilitate medical decision making by these patients and their caregivers.     

David: The first hour in the assessment and treatment of an adolescent

This paper presents an initial hour of therapy with 17 1/2 year old David, illustrating his distinctive experience, endowments, vulnerabilities and resiliencies. This first encounter permits a glimpse into typical adolescent conflicts and issues, how newer theoretical perspectives guide clinical thinking and technique, and the ways in which sociocultural forces intertwine with personal experience.in private practice.     

Genetic Contributions to Adolescents' Extrafamilial Social Interactions: Teachers, Best Friends, and Peers

The purpose of the present study was to investigate genetic and environmental contributions to individual differences in adolescents' social interactions outside the family. We investigated sibling resemblance for adolescents' reports of interactions with best friends and teachers, and parents' perceptions of adolescents' peer groups in 701 same-sex adolescent sibling pairs aged 10-18, using a twin, full sibling, and step sibling design. Our goals were to assess the magnitude of sibling resemblance, and to disentangle resemblance due to shared genetic heritage from that due to shared environmental experiences. Substantial genetic influence was found for parents' perceptions of adolescents' peer groups. Adolescents' reports of positive interactions with teachers and best friends also showed significant genetic influence. In contrast, individual differences in adolescents' reports of negative interactions with teachers and best friends showed no significant genetic influence. In addition, most environmental influences for social interactions with teachers, best friends, and peers were largely of the nonshared variety, suggesting that growing up in the same family does not make adolescents similar in their extrafamilial social interactions.     

Improving communication via quantitative management

Villa Soft Drinks Ltd, established in 1884, manufactures and bottles spring waters and carbonates for both the growing adult soft drinks market and the more traditional soft drinks market. The company employs just over 100 people split between the manufacturing site in Sunderland and the head office and distribution centre in Washington. One of the fundamental problems affecting the day-to-day running of Villa, and most companies, is communication. There is a lack of awareness of the impact that changes in one department have on other departments (e.g. if production efficiency is increased by 10%, what impact will this have on warehousing?). Villa had recently identified key performance indicators (KPIs) to monitor all aspects of manufacturing performance on a regular basis. This enabled the current production situation to be evaluated and helped familiarize staff with charts and measurements. The use of Pareto analysis and problem solving techniques helped to boost efficiency and utilization. Key performance indicators were then developed in most other departments and are monitored and displayed regularly. The KPIs can be used further to improve transparency across the company by incorporating them in an interactive, interpretative tool to aid communication and understanding at all levels of the company. Individual departmental flow diagrams will be linked together to represent how the company operates. The diagrams will include both material flow and information flow. These data will then be organized in a software package and the end result will be a fully integrated simulation of the company in which any variable can be altered to demonstrate the effect this has on other departments and therefore the company as a whole. This will be an extremely valuable tool for the company as it will have many different applications, such as calculating manning requirements, identifying potential cycle time reductions and optimizing warehouse space.     

Using the Summed Rank Cusum for monitoring environmental data from industrial processes

Environmental issues have become a hot topic recently, especially those surrounding industrial outputs. Effluents, emissions, outflows, by-products, waste materials, product de-commissioning, land reclamation and energy consumption are all the subject of monitoring, either under new legislation or through economic necessity. Many types of environmental data are often difficult to understand or measure because of their unusual distribution of values however. Standard methods of monitoring these data types often fail or are unwieldy. The scarcity of events, small volume measurements and the unusual time scales sometimes involved add to the complexity of the task. One recently developed monitoring technique is the Summed Rank Cusum (SRC) that applies non-parametric methods to a standard chart. The SRC can be used diagnostically and this paper describes the application of this new tool to three data sets, each derived from a different problem area. These are measuring industrial effluent, assessing the levels of potentially harmful proteins produced by an industrial process and industrial land reclamation in the face of harmful waste materials. The use of the SRC to spot change points in time retrospectively is described. The paper also shows the use of SRC in the significant-difference testing mode, which is applied via the use of spreadsheets. Links to other similar methods described in the literature are given and formulae describing the statistical nature of the transformation are shown. These practical demonstrations illustrate that the graphical interpretation of the method appears to help considerably in practice when trying to find time-series change points. The charts are an effective graphical retrospective monitoring technique when dealing with non-normal data. The method is easy to apply and may help considerably in dealing with environmental data in the industrial setting when standard methods are not appropriate. Further work is continuing on the more theoretical aspects of the method.     

Response and predictor folding to counter symmetric dependency in dimension reduction

In the regression setting, dimension reduction allows for complicated regression structures to be detected via visualisation in a low‐dimensional framework. However, some popular dimension reduction methodologies fail to achieve this aim when faced with a problem often referred to as symmetric dependency. In this paper we show how vastly superior results can be achieved when carrying out response and predictor transformations for methods such as least squares and sliced inverse regression. These transformations are simple to implement and utilise estimates from other dimension reduction methods that are not faced with the symmetric dependency problem. We highlight the effectiveness of our approach via simulation and an example. Furthermore, we show that ordinary least squares can effectively detect multiple dimension reduction directions. Methods robust to extreme response values are also considered.