Who is a Distracted Driver? Associations between Mobile Phone Use while Driving,Domain‐Specific Risk Taking,and Personality

Mobile phone use while driving (MPUWD) is an increasingly common form of distracted driving. Given its widespread prevalence, it is important for researchers to identify factors that may predict who is more likely to engage in this risky behavior. The current study investigates associations between MPUWD risk behaviors, domain‐specific risk perceptions, and broad personality dimensions. An Italian community sample (n = 804) completed a survey regarding MPUWD risk perceptions and engagement in MPUWD, in addition to the HEXACO‐PI‐R, a broad six‐factor personality inventory (honesty‐humility, emotionality, extraversion, agreeableness, conscientiousness, openness to experience), and the DOSPERT, a six‐factor domain‐specific self‐report risk‐taking measure (health/safety, recreational, social, ethical, gambling, and investment). With respect to domain‐specific risk taking, greater frequency of SMS use while driving most strongly was associated with greater risk taking for the health/safety, gambling, and ethical risk domains. Further, greater honesty‐humility and conscientiousness, two traits related to cognitive control and risk behaviors, and to a lesser extent openness to experience, were associated with less frequent MPUWD, and positively associated with MPUWD risk perceptions. With growing public safety concern surrounding MPUWD, understanding associated personality factors is not only important for identifying psychological mechanisms underlying risk behavior, but also for more effective prevention and intervention programs.     

Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness

Understanding the risk of biological invasions associated with particular transport pathways and source regions is critical for implementing effective biosecurity management. This may require both a model for physical connectedness between regions, and a measure of environmental similarity, so as to quantify the potential for a species to be transported from a given region and to survive at a destination region. We present an analysis of integrated biosecurity risk into Australia, based on flights and shipping data from each global geopolitical region, and an adaptation of the “range bagging” method to determine environmental matching between regions. Here, we describe global patterns of environmental matching and highlight those regions with many physical connections. We classify patterns of global invasion risk (high to low) into Australian states and territories. We validate our analysis by comparison with global presence data for 844 phytophagous insect pest species, and produce a list of high‐risk species not previously known to be present in Australia. We determined that, of the insect pest species used for validation, the species most likely to be present in Australia were those also present in geopolitical regions with high transport connectivity to Australia, and those regions that were geographically close, and had similar environments.     

A two-study investigation of item wording effects on leader–follower convergence in descriptions of the leader–member exchange (LMX) relationship

The leader–member exchange (LMX) theory of leadership focuses on the quality of relationships built between leaders and subordinates; LMX measures are designed to assess the quality of these relationships. Since the leader and subordinate are jointly embedded in the relationship, it is reasonable to assume that their ratings of their relationship will converge to some reasonable extent. However, leader–member convergence on the most widely used measures, the LMX-7 and SLMX-7 scales, has historically been low. To address this, we conduct two studies to investigate whether item wording and content might be a cause of poor LMX convergence. The obtained results support the conclusion that the wording and content of these measures are, in fact, introducing attributional and social desirability biases into the rating process and causing some of the poor LMX convergence that is commonly seen. Implications for extant and future LMX research are discussed.     

Improved cross-entropy method for estimation

The cross-entropy (CE) method is an adaptive importance sampling procedure that has been successfully applied to a diverse range of complicated simulation problems. However, recent research has shown that in some high-dimensional settings, the likelihood ratio degeneracy problem becomes severe and the importance sampling estimator obtained from the CE algorithm becomes unreliable. We consider a variation of the CE method whose performance does not deteriorate as the dimension of the problem increases. We then illustrate the algorithm via a high-dimensional estimation problem in risk management.     

Moral Emotions and Social Activism: The Case of Animal Rights

Why do some people and not others become involved in social movements? We examined the relationships between a moral emotion—disgust—and animal activism, attitudes toward animal welfare, and consumption of meat. Participants were recruited through two social networking websites and included animal activists, promoters of animal use, and participants not involved in animal-related causes. They took an online survey which included measures of sensitivity to visceral disgust, attitudes toward animal welfare, and frequency of meat eating. Animal activists were more sensitive to visceral disgust than were promoters of animal use or nonaligned participants. Disgust sensitivity was positively correlated with attitudes toward animal welfare but not with meat consumption. The relationship between animal activism and vegetarianism was complex; nearly half of animal activists ate meat, and half of the vegetarians did not consider themselves to be animal activists. We argue that conflicts over the moral status of animals reflect fundamental differences in moral intuitions.     

The role of relationships in labor markets for the popular arts and its impact on product quality

While utilizing social networks is common in labor markets and may benefit both firms and laborers, social networks are argued to be unusually important in the popular arts. Prior work in economics on the role of relationships in labor markets has generally focused on the benefits and not the costs. This paper takes a different approach by focusing on both costs and benefits, by examining a specific market where relationships are particularly important. This paper argues that in addition to reducing diversity and creating inherent inequalities, excessive reliance on networks can lead to higher agency costs and lower product quality.     

The fusion of culture and science: Challenges and controversies of cultural competency and evidence-based practice with an African American family advocacy network

This paper identifies interrelationships between evidence-based practice (EBP), radical structuralism, and culture, arguing that culturally-specific beliefs and norms should be integrated into evidence-based, cross-cultural partnerships within child and family service systems. A single case study of family advocate training in evidence-based practice is provided as an illustration of, and impetus for, the development of a format for use with community-based and ethnically-diverse parent/family advocates. The lessons learned from teaching evidence-based practice to a parent advocate in a particular child welfare service system are highlighted. The use of enhanced roles for social workers and indigenous social capital and resources, such as family advocates as allies, is recommended to help achieve a greater degree of accountability, cooperation, and core understanding in the use of EBP. By training racially-diverse foster parents as mental health advocates to work collaboratively with policymakers, community groups, and family participants, proponents of EBP will reach and benefit more diverse populations.     

A Methodology for Seismic Risk Analysis of Nuclear Power Plants

This methodology begins by quantifying the fragility of all key components and structures in the plant. By means of the logic encoded in the plant event trees and fault trees, the component fragilities are combined to form fragilities for the occurrence of plant damage states or release categories. Combining these, in turn, with the seismicity curves yields the frequencies of those states or releases. Uncertainty is explicitly included at each step of the process.