Personality and community prevention teams: Dimensions of team leader and member personality predicting team functioning

The predictors and correlates of positive functioning among community prevention teams have been examined in a number of research studies; however, the role of personality has been neglected. In this study, we examined whether team member and leader personality dimensions assessed at the time of team formation predicted local prevention team functioning 2.5–3.5 years later. Participants were 159 prevention team members in 14 communities participating in the PROSPER study of prevention program dissemination. Three aspects of personality, aggregated at the team level, were examined as predictors: Openness to Experience, Conscientiousness, and Agreeableness. A series of multivariate regression analyses were performed that accounted for the interdependency of five categories of team functioning. Results showed that average team member Openness was negatively, and Conscientiousness was positively linked to team functioning. The findings have implications for decisions about the level and nature of technical assistance support provided to community prevention teams.     

Working Between Worlds: Qualitative Methods and Social Psychology

We invite social psychologists in the United States to join with psychologists in other countries and with researchers in other disciplines to include qualitative approaches in their research repertory. Several classic studies in social psychology used field-based qualitative approaches, yet in recent decades, these ways of working have been on the margins of American social psychology. We explore what a qualitative stance offers and entails, giving examples from our own and others' research. The relentless attention that qualitative workers have given to issues of bias, subjectivity, and research ethics prompts us to consider how such issues are always present in research, regardless of its methods.     

Bayesian estimation of proportions with a cross-entropy prior

This paper suggests estimators of the frequencies (N₈) or proportions {N₈/N) of N distinguishable objects contained in S categories; given various types of information, We consider information in the form of exact constraints on the N₈, sample frequencies, and frequencies of related data, The analysis uses Bayesian methods, where the prior distribution is assumed to be a function of the cross-entropy between the N₈ and a reference distribution, We show the relationship between our estimator and the log-linear and logit models and also present a sampling experiment to compare our proposed estimator with the iterated proportional fitting estimator.     

Advancing Risk‐Informed Decision Making in Managing Defense Nuclear Waste in the United States: Opportunities and Challenges for Risk Analysis

An omnibus spending bill in 2014 directed the Department of Energy to analyze how effectively Department of Energy (DOE) identifies, programs, and executes its plans to address public health and safety risks that remain as part of DOE's remaining environmental cleanup liabilities. A committee identified two dozen issues and associated recommendations for the DOE, other federal agencies, and the U.S. Congress to consider, as well as other stakeholders such as states and tribal nations. In regard to risk assessment, the committee described a risk review process that uses available data, expert experience, identifies major data gaps, permits input from key stakeholders, and creates an ordered set of risks based on what is known. Probabilistic risk assessments could be a follow‐up from these risk reviews. In regard to risk management, the states, in particular, have become major drivers of how resources are driven. States use different laws, different priorities, and challenge DOE's policies in different ways. Land use decisions vary, technology choices are different, and other notable variations are apparent. The cost differences associated with these differences are marked. The net result is that resources do not necessarily go to the most prominent human health and safety risks, as seen from the national level.     

Stigma as a multispatial-scale process: Revisiting the worst US Superfund sites

Areas immediately adjacent to 16 of the first US national priority (NPL) hazardous waste sites that also had pre-superfund emergency actions were examined to measure local stigma. Four decades after their NPL designation, I found marked variation in these areas’ social, public health and environmental attributes. About one-third of these small areas fit the stereotype of stressed areas with environmental injustice challenges. Yet, another one-third of these sites have better measurable outcomes than a combination of their host states and counties. For example, they have elevated levels of broadband access and their local jurisdictions are classified as safe and attractive to families. I conclude that long-term stigma around a Superfund site was limited by US EPA actions, as well as by progressive state and local governments, and community groups, in other words, contributions from parties at multiple geographical scales.