The psychosocial benefits of work for people with severe and enduring mental health problems

Perceptions of the value of work for people with severe and enduring mental health problems have changed frequently over the last two decades. With the new social inclusion agenda manifest in the Disability Discrimination Act and in the NHS modernization agenda, work is once again in vogue. There is a need for a way of evaluating work which draws on its potential contribution to psychological well-being as well as its provision of a valued social role and which is less susceptible to fluctuations in health and social policy. Jahoda's work on the psychosocial functions of work provides such a framework and this study sets out to explore its utility among workers who are severely disabled by mental health problems. Twelve of the psychosocial functions of work were rated by 50 people attending two sheltered work placements according to how important they were perceived to be and the extent to which the functions were fulfilled through their attendance. Satisfaction of the psychosocial functions through work was compared with their satisfaction through other aspects of the respondents’ lives. All functions were perceived as important, but self-confidence/self-esteem was rated as more important than most of the others. Structure to the day, self-confidence and social contact were better satisfied through work than were decision making, practising old skills and having goals to aim for. In general, the results showed that the functions were fulfilled better by work than by other aspects of the respondents’ lives. The study supports the notion that work is of value in the rehabilitation of people with severe and enduring mental health problems and offers a possible framework for the further exploration of this theme, both within mental health services and the community at large.     

Post-traumatic stress disorder and health-related quality of life in female victims of intimate partner violence

The association between post-traumatic stress disorder (PTSD) and health-related quality of life (QOL) in female victims of intimate partner violence (IPV) was examined. The Short-Form Health Survey (SF-36) was used to evaluate health-related QOL. IPV victims with PTSD (IPV/PTSD+; n = 18), IPV victims without PTSD (IPV/PTSD-; n = 22), and a non-abused control group (NA; n = 30) were compared. Multiple Analyses of Covariance (covarying for socioeconomic status and age) indicated that the three groups scored significantly differently on health-related QOL, and the IPV/PTSD- group was significantly more impaired than the NA group. IPV/PTSD+ subjects were significantly more impaired than IPV/PTSD- subjects on physical functioning, mental health, vitality, role limitations due to emotional health, and social functioning. Multiple regression analyses indicated that PTSD severity was a significant statistical predictor of SF-36 mental health composite scores (but not of physical health composite scores), after controlling for depressive symptomatology and extent of physical and psychological abuse.     

Part one: The BCS of Title IX compliance “and the Champion for 2004 Is???”

This study of the BCS is an attempt to rank the major football universities according to their compliance with the spirit and intent of Title IX. The variables used in the study are based on the four criteria suggested by the Chronicle of Higher Education in its study on “gender equity” in 2004. The criteria are participation, scholarship, coaching salaries, and operating expenses. The study focuses on the major conferences in the BCS—The Atlantic Coast Conference (ACC), Southeastern, Big East, Big Ten, Big 12, and Pac-10. For purposes of analysis the average score for all the schools in each conference was computed for each of the four variables. The conferences were ranked and examined on each variable and then the average rank was computed to rank the conferences first to eighth. The Mountain West Conference and the Mid-American Conferences were added in order to set-up an eight-team BCS playoff system. Charles L. Kennedy is a senior instructor of political science at Penn State York. He is a former Peace Corps volunteer, director of Pennsylvania's Governor's Action Center, and assistant to West Virginia's Secretary of State. He has developed and published numerous educational simulations.     

Someone promised mentors: will you deliver?

What are recruiters promising? Many new hires say that they accepted a job because of a promised mentoring program--one that never materializes, and one that the manager doesn't know was part of the discussions. Where does that leave the manager who may not be aware of this expectation? Faced with anchoring mobile Gen Xers, organizations are exploring mentoring as an inexpensive way to improve retention. But mentoring is not a technique that can be applied like a warm blanket to solve the problems of orientation, training, skills development, and retention. There are two reasons why mentoring isn't foolproof--the mentor and the protégé. If you are considering a mentoring program, or becoming a mentor yourself, here are some points to ponder: (1) If you can't (or won't) do it, give convincing reasons up front; (2) establish the rules of engagement; (3) a mentoring relationship doesn't guarantee loyalty; (4) having a protégé has political risks; (5) you can't force anyone to take advice; and (6) expect a quid pro quo.     

Sensitivity Analysis and Estimation of Extreme Tail Behavior in Two‐Dimensional Monte Carlo Simulation

Two‐dimensional Monte Carlo simulation is frequently used to implement probabilistic risk models, as it allows for uncertainty and variability to be quantified separately. In many cases, we are interested in the proportion of individuals from a variable population exceeding a critical threshold, together with uncertainty about this proportion. In this article we introduce a new method that can accurately estimate these quantities much more efficiently than conventional algorithms. We also show how those model parameters having the greatest impact on the probabilities of rare events can be quickly identified via this method. The algorithm combines elements from well‐established statistical techniques in extreme value theory and Bayesian analysis of computer models. We demonstrate the practical application of these methods with a simple example, in which the true distributions are known exactly, and also with a more realistic model of microbial contamination of milk with seven parameters. For the latter, sensitivity analysis (SA) is shown to identify the two inputs explaining the majority of variation in distribution tail behavior. In the subsequent prediction of probabilities of large contamination events, similar results are obtained using the new approach taking 43 seconds or the conventional simulation that requires more than 3 days.     

An investigation of project complexity's influence on team communication using Monte Carlo simulation

Research using empirical methods has established a curvilinear relationship between team communication and performance. We conduct virtual experiments to examine team communication and performance when teams work under varying types and levels of project complexity. Data samples, generated using Monte Carlo simulation, are based on the statistical characteristics of empirical data collected from 60 cross-functional project teams that communicated over multiple media (email, phone, and face-to-face) and were completing projects of varying complexity. Regression analysis indicates that project complexity influences the communication-performance relationship. Optimization shows that the communication frequencies at which teams maximize or minimize their performance are dependent upon media used.     

Interpretation of Monte Carlo Simulations Using Parameter Space Plots

Multimodal distribution functions that result from Monte Carlo simulations can be interpreted by superimposing joint probability density functions onto the contour space of the simulated calculations. The method is demonstrated by analysis of the pathway of a radioactive groundwater contaminant using an analytical solution to the transport equation. Simulated concentrations at a fixed time and distance produce multimodal histograms, which are understood with reference to the parameter space for the two random variables-velocity and dispersivity. Numerical integration under the joint density function up to the contour of the analytical solution gives the probability of contaminant exceeding a target concentration. This technique is potentially more efficient than Monte Carlo simulation for low probability events. Visualization of parameter space is restricted to two random variables. Nevertheless, analyzing the two most pertinent random variables in a simulation might still offer insights into the multimodal nature of output histograms.     

Making Global Society: Friendship Networks among Transnational Professionals in the Building Design Industry

Abstract Little is currently known about the nature and wider implications of transnationalism among professionals, despite the fact that companies are increasingly establishing overseas business links, seeking foreign contracts and obliging professional employees to work overseas for long periods of time. Focusing on the research generated by a small study of mainly architects and engineers who had worked abroad at some time in the building design industry in this article I explore their transnational experiences and the factors that enabled them to construct viable friendship networks extending over time and into global life. These experiences are briefly contrasted with the social processes constructed by migrants and others operating in transnational social space. Though professionals appear to lack the clear sense of collective unity, the pre‐existing identity and/or the same sense of membership and organization as other types of transnational communities may exhibit, these networks nevertheless demonstrated a high degree of sociality and affectivity and a capacity to generate further transnational relationships. They also revealed a strongly postnational orientation arising from the conjunction of a unique combination of shared factors especially age, emotional deprivation, location and the nature of overseas work.     

Testing for the presence of disease by pooling samples

Screening of pooled urine samples was suggested during the Second World War as a method of detecting syphilis in US soldiers. Recently, pooling has been used in screening blood for Human Immunodeficiency Virus (HIV) antibody to help curb the further spread of the deadly virus. Pooling reduces the cost and also reduces the rates of false‐negative results in samples that are not disease‐free, a factor that has led to pooling not being adopted as an efficient procedure for screening HIV. This paper generalizes a common pooling strategy with retesting, and discusses its characteristics. Furthermore, it suggests a new testing strategy with retesting.