The Relation Between Emotion Production Behavior and Preschool Social Behavior: In the Eye of the Beholder

Two questions were examined with a sample of preschool children: (a) What is the relation between emotion production behavior and classroom social behavior?; and (b) Does familiarity with a child affect the perception of emotion expressions and the relations between emotion expressions and social behavior? Two theoretical perspectives on the ‘eye of the beholder’ (familiarity) were evaluated: reputation bias and generalized effects. Sixty‐eight (55% female) children were photographed posing emotion expressions (e.g., happy, sad, and angry). Expressions were rated by classmates, peer strangers, and adults. Classmates and teachers evaluated social behavior. Analyses indicated that children who were more negative and dependent had angry production biases and were likely to display happy expressions instead of sad. Results support the reputation bias and generalized familiarity theories.     

Beyond attachment theory and therapy: Towards sensitive and evidence-based interventions with foster and adoptive families in distress

Elements of attachment theory have been embraced by practitioners endeavouring to assist foster and adopted children and their parents. Attachment theory articulates the potential risks of experiencing multiple caregivers; emphasizes the importance of close social relationships to development; and recognizes that substitute parents may not always have close relationships with children who have experienced adversities before joining them. Attachment theory offers concerned parents what they believe to be a scientific explanation about their lack of the close, satisfying parent–child relationship they desire. Yet the scientific base of attachment theory is limited both in terms of its ability to predict future behaviours, and especially with regard to its use as the underpinning theory for therapeutic intervention with children experiencing conduct problems. There is a critical need to review the role of attachment theory in child and family services and to consider its place among other explanations for children's disturbing behaviour. An important step towards pursuing alternative approaches is for researchers and practitioners to understand the reasons the attachment paradigm appeals to so many adoptive and foster parents, given the apparent widespread prevalence of attachment‐based interventions. Such understanding might assist in the development of adoption‐sensitive uses of appropriate evidence‐based treatment approaches.     

Self-control training with maltreating parents

Seeking a method of intervention based on research about correlates of child maltreatment, the authors find that small-group, short-term training in self-control and child management skills gives parents the tools to better handle family stress and develop supportive social networks.     

In Conclusion: Current Themes in Bereavement and Widowhood Research

A number of important themes and controversies emerged from the preceding papers. These include (a) what kinds of losses lead to grief; (b) how long grief lasts; (c) how to conceptualize "recovery," (d) the nature of "normal" grief; (e) whether bereavement has lasting effects on health; and (f) what characteristics of the individual, the relationship, or the nature of the death create a greater risk for poor outcome of bereavement. Consideration of these issues should help develop more effective strategies for intervention with sufferers, and social policies sensitive to the needs of those at greatest risk.     

Mean-variance portfolios using Bayesian vector-autoregressive forcasts

Protfolio optimization is very sensitive to the forecats of returns and (co-)variances of the underlying assets. This paper applies a Bayesian vector-autoregression of the asset universe to predict the returns. Further, the co-variance matrix is forecasted by an Augmented GARCH estimation of the most volatile principle components of the return series. As an empirical illustration, the daily stock returns of the German stocks index DAX have been used to calculate some well-known mean-variance portfolios. Back-testing is used to evaluate the performance. The approach seems to be promising.