Children's participation in foster care placements

This article presents results from a study of the birth children of foster carers and their experiences of growing up with foster siblings. Data were gathered from focus groups (17 participants), discussion groups (16 participants), a questionnaire (684 responses) and eight individual interviews. The children's participation in the fostering placements is in focus. Accounts from the children show that several of them participate in care-giving activities in everyday life. Their participation in the official assignment is however limited and can lead to children taking on responsibility with no support from adults. The tension between children's agency and position in society is addressed. The study shows how power relations between children and adults come into play, how both children and adults (re)-produce positions where children's rights to have a say in questions that concern them are not reflected within fostering processes.     

GENDER AND PROSOCIAL VALUES DURING ADOLESCENCE: A Research Note

To date, relatively little is known about the prosocial values of adolescents. Research has shown that females attach more importance to certain prosocial values than males do in late adolescence but has not considered whether this gender difference is evident across stages of adolescence and whether it varies by race. We examine values that focus on doing things for others, using data from a nationwide survey of 12- to 17-year-olds. We find that girls place more importance on these prosocial values than boys at younger ages. However, we also find important patterns in this gender difference across racial groups as well as across age. White boys appear to attach less importance to prosocial values than other race and gender groups. Furthermore, the gender gap in prosocial values is larger at older ages, with older adolescent boys placing less importance on prosocial values than younger ones.     

Job design and levels of physical and mental strain among Australian prison officers

Abstract

Over the past 15 years much has been made of the moderating influence of job discretion and support in occupations that are perceived to be high in demands. Such an effect seems to be most prevalent when subject populations are large and heterogeneous. One aim of this study was to examine the influence of subjective perceptions of these variables on strain reactions among a group of relatively homogeneous workers such as, in the present study, prison officers (n = 274). A second aim was to extend previous research and examine the joint influence of negative affectivity and perceptions of demands, discretion, and support on mental and physical well-being. It was hypothesized that those high in negative affect would be particularly strained by jobs perceived as being demanding. The hypothesized relationship between job demands, discretion and support were found to be weak and at times inconsistent. Social support, in particular, was found to have both positive and negative consequences for different aspects of well-being. Those high in negative affect were in general found to suffer lower mental well-being. More importantly, the interactive effect of negative affectivity and job demands was found to significantly predict the majority of the dependent variables used in this study. The valences of these relationships were inconsistent and are interpreted in light of Warr's (1987) vitamin model of stress.

There are several conclusions that can be drawn from the present study. Negative affectivity appears to have a truly interactive effect with job components, job demands in particular, to influence a range of variables relating to physical and mental health as well a job-related attitudes. The nature of these effects, however, suggests a dissociation in the ways that different independent variables influence a range of indices of well-being and affect. This result requires further investigation since there are important theoretical implications which will follow if the data are replicable.

In order to examine such complex effects, in addition to the need for more longitudinal studies, it is also important that standardized measures of job components are developed so that levels of stress exposure can be equated and their impact assessed across organizational settings.

Finally, the data reported in this study suggest that some effective stress management may be undertaken by adopting selection strategies which take into consideration individual characteristics. In view of the fact that individual stress management programmes are of unproven benefit (Murphy 1986, 1988) such an approach is recommended especially for those organizations which are highly constrained in the services that must be performed.     

Longitudinal Effects of Adolescent Abuse on Relationship Quality and Posttraumatic Stress Symptoms in Mother–Adolescent Dyads

The current study examined dyadic reports of mother–adolescent relationship quality (RQ) as a mechanism by which emotional, physical, and sexual abuse affect posttraumatic stress symptoms (PTSS) over time from a family systems perspective. We used three waves of data from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN), including 321 mother–adolescent dyads observed when adolescents were approximately 12, 14, and 16 years old. We used an extended version of the actor–partner interdependence mediation model to analyze the effect of emotional, physical, and sexual abuse on adolescents' PTSS through dyadic reports of mother–adolescent RQ. Results yielded significant indirect effects between sexual and emotional abuse, but not physical abuse, and PTSS 4 years later through adolescent perceptions of RQ. Maternal perceptions of RQ were not directly associated with adolescents' PTSS; however, maternal perceptions of RQ positively contributed to future adolescent perceptions of RQ. Clinical implications are discussed.     

Shape analysis for automated sulcal classification and parcellation of MRI data

We describe geometric invariants that characterize the shape of curves and surfaces in 3D space: curvature, Gauss integrals and moments. We apply these invariants to neuroimaging data to determine if they have application for automatically classifying and parcellating cortical data. The curves of sulci and gyri on the cortical surface can be obtained by reconstructing cortical surface representations of the human brain from magnetic resonance imaging (MRI) data. We reconstructed gray matter surfaces for 15 subjects, traced 10 sulcal curves on each surface and computed geometric invariants for each curve. These geometric features were used classify the curves into sulcal and hemispheric classes. The best classification results were obtained when moment-based features were computed on the sulcal curves in native space. Gauss integral measures showed that they were useful for differentiating the hemispheric location of a single sulcus. These promising results may indicate that moment invariants are useful for characterizing shape on a global scale. Gauss integral invariants are potentially useful measures for characterizing cortical shape on a local, rather than global scale. Gauss integrals have found biological significance in characterizing proteins so it is worthwhile to consider their possible application to neuroscientific data.     

Bayesian modeling of temporal properties of infectious disease in a college student population

A Bayesian statistical model is developed for analysis of the time-evolving properties of infectious disease, with a particular focus on viruses. The model employs a latent semi-Markovian state process, and the state-transition statistics are driven by three terms: (i) a general time-evolving trend of the overall population, (ii) a semi-periodic term that accounts for effects caused by the days of the week, and (iii) a regression term that relates the probability of infection to covariates (here, specifically, to the Google Flu Trends data). Computations are performed using Markov Chain Monte Carlo sampling. Results are presented using a novel data set: daily self-reported symptom scores from hundreds of Duke University undergraduate students, collected over three academic years. The illnesses associated with these students are (imperfectly) labeled using real-time (RT) polymerase chain reaction (PCR) testing for several viruses, and gene-expression data were also analyzed. The statistical analysis is performed on the daily, self-reported symptom scores, and the RT PCR and gene-expression data are employed for analysis and interpretation of the model results.     

Local stationarity in small area estimation models

Small area estimators are often based on linear mixed models under the assumption that relationships among variables are stationary across the area of interest (Fay–Herriot models). This hypothesis is patently violated when the population is divided into heterogeneous latent subgroups. In this paper we propose a local Fay–Herriot model assisted by a Simulated Annealing algorithm to identify the latent subgroups of small areas. The value minimized through the Simulated Annealing algorithm is the sum of the estimated mean squared error (MSE) of the small area estimates. The technique is employed for small area estimates of erosion on agricultural land within the Rathbun Lake Watershed (IA, USA). The results are promising and show that introducing local stationarity in a small area model may lead to useful improvements in the performance of the estimators.     

Multilevel Social Dynamics Considerations for Project Management Decision Makers: Antecedents and Implications of Group Member Tie Development

Successful projects represent the effective culmination of management skills, planning, and individual project member strengths. In operations management, such strengths are often viewed predominantly from the perspective of skill base. However, it has become increasingly evident that behavioral traits associated with individuals play a very significant, if not ultimately dominating, role in the effectiveness of certain group projects. Our aim in this study is to look into how certain individual attributes viewed as relevant to these project contexts may lead to social networking decisions that have impacts spanning multiple levels of analysis. Such insights are likely to prove valuable to decision makers managing project teams as well. We employ a controlled 4‐month investigation of multiple projects, for which we are able to consider both objective, and subjective pre‐, in situ, and postproject data. Our results demonstrate that the issues of perceived control, confidence, and conscientiousness are relevant not only in driving individual perceptions of the value of within‐group interactions, and hence the development of associated ties, but are also ultimately relevant in helping to drive higher levels of group performance.