The consequences of early marriage on marital dissolution

Research has been consistent in documenting the direct negative effect of early marriage on marital stability, while disagreeing over the level of influence of status attainment measures on divorce. However, the discipline has failed to come to consensus on the complexity of these relationships: that early marriage may operate indirectly through mediating variables to increase the likelihood of divorce. The focus of this paper is an analysis of a path model which includes the estimated effects of antecedents of early marriage, early marriage and education on the probability of divorce. Findings using the General Social Surveys support research that suggests that early marriage is the most important variable influencing divorce. Further, little influence of the early marriage measure through education was found.     

An Integrated Scenario Ensemble-Based Framework for Hurricane Evacuation Modeling: Part 1—Decision Support System

This article introduces a new integrated scenario-based evacuation (ISE) framework to support hurricane evacuation decision making. It explicitly captures the dynamics, uncertainty, and human–natural system interactions that are fundamental to the challenge of hurricane evacuation, but have not been fully captured in previous formal evacuation models. The hazard is represented with an ensemble of probabilistic scenarios, population behavior with a dynamic decision model, and traffic with a dynamic user equilibrium model. The components are integrated in a multistage stochastic programming model that minimizes risk and travel times to provide a tree of evacuation order recommendations and an evaluation of the risk and travel time performance for that solution. The ISE framework recommendations offer an advance in the state of the art because they: (1) are based on an integrated hazard assessment (designed to ultimately include inland flooding), (2) explicitly balance the sometimes competing objectives of minimizing risk and minimizing travel time, (3) offer a well-hedged solution that is robust under the range of ways the hurricane might evolve, and (4) leverage the substantial value of increasing information (or decreasing degree of uncertainty) over the course of a hurricane event. A case study for Hurricane Isabel (2003) in eastern North Carolina is presented to demonstrate how the framework is applied, the type of results it can provide, and how it compares to available methods of a single scenario deterministic analysis and a two-stage stochastic program.     

Homelessness, Mental Illness and Citizenship

Assertive mental health outreach to homeless persons, which operates under the premise that mental illness must be understood and treated within the individual's social and economic environment, points towards the goals of community membership and 'citizenship'—a connection to the rights, responsibilities, roles, and resources that society offers through public and social institutions and informal 'associational life'—for homeless persons. We argue that the concept of citizenship is a useful framework for approaching these goals. We review the principles of assertive mental health outreach and relevant aspects of contemporary citizenship theory; present a case example of outreach leading to a 'citizenship project'; and discuss the potential benefits and pitfalls of a citizenship framework, including strategies and recommendations for program administrators, researchers and policy makers.     

Teaching Communication in a Statistical Collaboration Course: A Feasible,Project-Based,Multimodal Curriculum

Many schools offer a statistical collaboration curriculum using standard instructional methods such as lectures whereby students are taught to successfully apply their training. The process of building statisticians' collaborative skills and characteristics can be challenging due to logistical issues, time constraints, unstructured research problems, and resources. Instructors vary in their pedagogy and topics taught, and students' experiences vary. There is a dearth of literature describing how to implement a course integrating communication skills, critical thinking, collaboration, and the integration of team members in a learner-centered format. Few courses integrate behavior-based learning using role-playing, video demonstration and feedback, case-based teaching activities, and presentation of basic statistical concepts. We have developed and implemented a two-semester biostatistics collaboration course, of which the purpose is to develop the students' knowledge, skills, attitudes, and behaviors necessary to interact effectively with investigators. Our innovative curriculum uses a multimodal, project-based, experiential process to address real-world problems provided by real and/or simulated collaborators while minimizing usual challenges. Rubrics and peer evaluation forms are offered as online supplementary materials. This article describes how a collaboration curriculum focusing on communication and team practice is feasible, how it enhances skill and professionalism, and how it can be implemented at other institutions.     

Nuclear Families and Nuclear Risks: The Effects of Gender,Geography, and Progeny on Attitudes toward a Nuclear Waste Facility*

Abstract Studies of reactions to nuclear facilities have found consistent male/female differences, but the underlying reasons have never been well‐clarified. The most common expectations involve traditional roles—with men focusing more on economic concerns and with women (especially mothers) being more concerned about family safety/health. Still, with changing gender roles, women are becoming economic providers as well as caregivers; past studies have not actually examined the interaction of employment and gender effects. This study examines a rural county where issues of risk and economic interest were both salient—a county where a nuclear waste site had been proposed but where an existing nuclear power plant was a major employer. Overall, concern levels expressed by employed mothers did not differ significantly from those in the rest of the sample, but further analyses revealed a sharp contrast: In the half of the county that was home to the existing nuclear power plant, where economic concerns could be expected to be more salient, over 90 percent of the employed mothers expressed low levels of concern; in the other half of the county, closer to the potential risks of the proposed nuclear waste site, almost 90 percent of the employed mothers expressed high levels of concern. No such differences are found for other sociodemographic groups. This county may or may not be unique; what the findings show is that the interplay of geography, gender roles and risks should receive more attention in other contexts, as well.     

A Multifactorial Risk Prioritization Framework for Foodborne Pathogens

We develop a prioritization framework for foodborne risks that considers public health impact as well as three other factors (market impact, consumer risk acceptance and perception, and social sensitivity). Canadian case studies are presented for six pathogen‐food combinations: Campylobacter spp. in chicken; Salmonella spp. in chicken and spinach; Escherichia coli O157 in spinach and beef; and Listeria monocytogenes in ready‐to‐eat meats. Public health impact is measured by disability‐adjusted life years and the cost of illness. Market impact is quantified by the economic importance of the domestic market. Likert‐type scales are used to capture consumer perception and acceptance of risk and social sensitivity to impacts on vulnerable consumer groups and industries. Risk ranking is facilitated through the development of a knowledge database presented in the format of info cards and the use of multicriteria decision analysis (MCDA) to aggregate the four factors. Three scenarios representing different stakeholders illustrate the use of MCDA to arrive at rankings of pathogen‐food combinations that reflect different criteria weights. The framework provides a flexible instrument to support policymakers in complex risk prioritization decision making when different stakeholder groups are involved and when multiple pathogen‐food combinations are compared.     

Industrial Origin of CEOs in Outside Succession: Board Preference and Stockholder Reaction

Although scholars have studied outside executive succession for decades, there is still no clear definition of the term outsider. We focus on a new dimension of outsiderness, the industrial background of executives hired from outside the firm into a CEO position. This paper examines the antecedents of boards' decisions on the industry origin of outside successors as well as the short-term stock market response. We find that firms with more independent boards and with blockholders owning large amounts of stock are more likely to hire industry unrelated successors. However, the board's decision does not strictly follow the rhetoric of stockholder's interests. The stock market reacts more positively to outside CEO succession announcements when the CEO comes from an industry related firm. These findings support our theoretical arguments that the boards of directors may use a logic or rule of appropriateness in deciding the industrial origin of outside successors.