How We Can Promote Behavior That Serves All of Us in the Future

The health and vitality of relationships, groups, and society at large is strongly challenged by social dilemmas or conflicts between short-term self-interest and long-term collective interest. Pollution, depletion of natural resources, and intergroup conflict can be characterized as examples of urgent social dilemmas. This article advances a conceptual framework in which we analyze social dilemmas in terms of social and temporal concerns relevant to the social (individual vs. collective) and temporal (short-term vs. long-term) conflicts underlying social dilemmas. We discuss the plasticity of social orientations (altruism, cooperation, egalitarianism, individualism, competition, aggression) and temporal orientations (short-term orientation, future orientation), and illustrate their "logical effects" and "paradoxical effects" on behavior that supports collectively desired outcomes. This analysis enables us to suggest a set of novel recommendations for policy and intervention to help solve various social dilemmas in contemporary society.     

A GREAT DIVIDE?

Since 1980 most social scientists have found little evidence in support of popular and recurring commentaries that identify religion (and evangelical Protestants, in particular) as a major source of conservative political trends in the United States. But in the past several years a new line of research has reported results suggesting that earlier studies underestimated evidence that partisan change among specific religious groups has contributed to an emerging Republican electoral advantage. We assess this latter body of research, presenting the most comprehensive analysis to date of the effects of religious group memberships on political outcomes in national elections from 1972 through 2000. We address the limitations of past studies by incorporating advances in the measurement of religious denomination, adjudicating competing statistical models of the changing interrelationship of religion and voter alignments and extending previous investigations by simultaneously considering the impact of religion on (1) voting behavior, (2) partisanship, and (3) the representation of religious groups within the Democratic and Republican parties' electoral coalitions. Our results refine and extend past studies of religion and political change, providing evidence of limited changes in group-specific voting coupled with much larger changes in religion-based partisanship and party coalitions.     

The knower and the known

In this paper, I address a dilemma in the theory of knowledge and argue that this dilemma can be overcome by invoking the work of two well known social scientists—Marx (here considered as a sociologist) and Piaget (a psychologist). The dilemma considered is that of the relationship between what are here called independent (i.e., non-circular) and relational definitions; each form of definition has been the basis of a particular approach to the knowable (the independent definition being the basis of empiricism and the relational definition being the basis of Hegelianism) and each of these approaches can be shown to be unsatisfactory: empiricism, brilliantly successful in practice, runs itself, at the theoretical level, into the circular and the relational; while Hegelianism, although impregnable in logic, gains such impregnability at the cost of any delimitation and, hence of precision and refutability. It is argued that Marx (a follower of Hegel) as adapted by Piaget, can indeed overcome these difficulties and so present us with a theory of knowledge that makes possible an approach that is both successful in practice and reputable in logic.     

The Common Assessment Framework: the impact of the lead professional on families and professionals as part of a continuum of care in England

This paper utilizes data gathered as part of an exploratory study to assess the costs and impact of the Common Assessment Framework (CAF), to examine the impact that the lead professional role had on families and workers. The study found that both families and workers believed the lead professional to be central to the CAF process, providing a range of support, coordinating multi‐agency responses to need and acting as a single point of contact between families and workers. The paper highlights the need for consideration to be given to inter‐agency working, data sharing, training for workers and the capacity implications for those taking on the role. The extent to which the lead professional might be more integrated into the continuum of support for vulnerable children and families is also examined. The paper highlights the need to consider the lead professional's role in not only preventing the need for more intensive services, such as those provided by statutory social work, but also maintaining outcomes achieved once a child protection plan is closed, or a child is reunified with his or her birth family after a period of being in care. The implications of the findings for policy and practice are discussed.     

Multiplicity: discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group

In May 2012, the Committee of Health and Medicinal Products issued a concept paper on the need to review the points to consider document on multiplicity issues in clinical trials. In preparation for the release of the updated guidance document, Statisticians in the Pharmaceutical Industry held a one‐day expert group meeting in January 2013. Topics debated included multiplicity and the drug development process, the usefulness and limitations of newly developed strategies to deal with multiplicity, multiplicity issues arising from interim decisions and multiregional development, and the need for simultaneous confidence intervals (CIs) corresponding to multiple test procedures. A clear message from the meeting was that multiplicity adjustments need to be considered when the intention is to make a formal statement about efficacy or safety based on hypothesis tests. Statisticians have a key role when designing studies to assess what adjustment really means in the context of the research being conducted. More thought during the planning phase needs to be given to multiplicity adjustments for secondary endpoints given these are increasing in importance in differentiating products in the market place. No consensus was reached on the role of simultaneous CIs in the context of superiority trials. It was argued that unadjusted intervals should be employed as the primary purpose of the intervals is estimation, while the purpose of hypothesis testing is to formally establish an effect. The opposing view was that CIs should correspond to the test decision whenever possible. Copyright © 2013 John Wiley & Sons, Ltd.     

SOCIAL STRESS AND MENTAL HEALTH IN THE SOUTHERN BLACK BELT

Black Belt counties in the southeastern United States are among the very poorest of all. Much of the economic, political, and social landscape of the region still echoes the problems of its antebellum past. Black white relations in the region are still characterized by antagonisms at all levels of social life. In this study, I examine the impact of social and material conditions of the Black Belt on mental health. I use data from a sample of Black and White workers in North Carolina, a state that re ects many of the racial dynamics found across the Southeast. Findings show that racial patterns in psychological distress are associated with the strength of political and economic elites in the Black Belt who have historically maintained power through racial subjugation. In conclusion, I discuss the theoretical implications of the findings.     

NONLINEAR TUBE-FITTING FOR THE ANALYSIS OF ANATOMICAL AND FUNCTIONAL STRUCTURES

We are concerned with the estimation of the exterior surface and interior summaries of tube-shaped anatomical structures. This interest is motivated by two distinct scientific goals, one dealing with the distribution of HIV microbicide in the colon and the other with measuring degradation in white-matter tracts in the brain. Our problem is posed as the estimation of the support of a distribution in three dimensions from a sample from that distribution, possibly measured with error. We propose a novel tube-fitting algorithm to construct such estimators. Further, we conduct a simulation study to aid in the choice of a key parameter of the algorithm, and we test our algorithm with validation study tailored to the motivating data sets. Finally, we apply the tube-fitting algorithm to a colon image produced by single photon emission computed tomography (SPECT) and to a white-matter tract image produced using diffusion tensor imaging (DTI).