Sensitivity to “Bad Genes” and the Anomalous Face Overgeneralization Effect: Cue Validity, Cue Utilization, and Accuracy in Judging Intelligence and Health

The bad genes and anomalous face overgeneralization accounts of facial preferences were tested by examining cue validity, cue utilization, and accuracy in judging health and intelligence from faces in the upper and lower halves of the distributions of attractiveness and its components: averageness, symmetry, and masculinity. Consistent with the bad genes hypothesis, facial attractiveness, averageness, symmetry, and male face masculinity each provided valid cues to intelligence and/or health for faces in the lower but not the upper halves of the distributions of these facial qualities. Consistent with the anomalous face overgeneralization hypothesis, attractiveness and its components were utilized as cues not only for faces in the lower halves of the distributions, but also for those in the upper halves. Intelligence and health were judged accurately for faces in the lower but not the upper half of the attractiveness distribution, and attractiveness mediated this accuracy at all ages except adolescence. Since adolescence is the prime mating age, the latter finding raises questions about the utility of attractiveness as an evolved mechanism to ensure the selection of high quality mates.     

Confessions of a Jobbing Researcher

The relationship between research and policy making is complex and not always direct. This paper describes disability-related research for policy makers which is carried out at the Social Policy Research Unit (SPRU), University of York. A distinction between the ways in which research is formed and the ways in which it is informed is made. The informing of research influences how it is carried out; the research questions themselves, the choice of design and methods, the form of analysis, and the pattern of dissemination. The seminar series has helped SPRU reappraise its disability-related research. Disabled people must be able to influence the framing and elaboration of research questions more directly; there must be an increased commitment to employing and to training disabled researchers; dissemination must be wider; 'crucial gateways' to policy makers and practitioners have to be identified; and the debate on informal care must be moved further on.     

Linear models with an inverse gaussian poisson error distribution

The inverse Gaussian-Poisson (two-parameter Sichel) distribution is useful in fitting overdispersed count data. We consider linear models on the mean of a response variable, where the response is in the form of counts exhibiting extra-Poisson variation, and assume an IGP error distribution. We show how maximum likelihood estimation may be carried out using iterative Newton-Raphson IRLS fitting, where GLIM is used for the IRLS part of the maximization. Approximate likelihood ratio tests are given.     

Growing up in foster care: providing a secure base through adolescence

As the UK Government White Paper, Care Matters: Time for Change , suggested, foster children need the care system to provide them with good quality foster family care that will help them through childhood to success and fulfilment of their potential in adult life.
This paper draws on the third phase of Growing Up in Foster Care , a longitudinal study of 52 children in planned, long-term foster care (1997–2006). It aims to increase our understanding of the transformational power of foster family relationships over time and particularly in adolescence. It shows how a secure base parenting model, using concepts from attachment and resilience, can be applied to foster care of adolescents. The paper uses case material to demonstrate each dimension of this secure base model and to emphasise how, even when adolescents have had stable and effective placements, they are likely to need support through into adulthood.