Effects on pregnancy outcomes of changes in the North Carolina State Abortion Fund

Extending work of Cook et al. (1999, 1996), this paper examines abortion funding cutoffs for poor women in North Carolina, a unique setting allowing for a strong quasi-experimental design. Using vital registration data and additional administrative data from North Carolina, we decompose program effects on the abortion/birth ratio into two components: coverage (i.e., the proportion of all abortions that are state funded) and substitutability (the proportion of state funded abortions that would have been births in the absence of the state program). We show that both components are crucial for understanding the effects of fund cutoffs and that both components vary by age and by race. We offer explanations for these differences. Overall, we conclude that: the North Carolina State Abortion Fund (SAF) had powerful and pervasive effects: i.e., the SAF cutoffs reduced abortions and increased births.     

Multiple‐Family Group Intervention for Incarcerated Male Adolescents Who Sexually Offend and Their Families: Change in Maladaptive Emotion Regulation Predicts Adaptive Change in Adolescent Behaviors

The multiple‐family group intervention is an effective, yet affordable, 8‐week treatment that is conducted in a juvenile correctional institution in Alabama with adolescents who sexually offend and their families. Data from 115 incarcerated male adolescents and their male and female caregivers collected at pre‐, post‐, and 1‐year follow‐up were used to determine that problem behaviors (internalizing, externalizing) decreased over pre‐ and posttest and the significant decreases in maladaptive emotion regulation predicted those changes. Adolescent‐reported anxiety over abandonment and attachment dependence on parents increased significantly; these changes were predicted by decreases in maladaptive emotion regulation. Linear growth models were also fit over the 3 time points and indicate decreases in adolescent problem behavior and maladaptive emotion regulation.     

Short-term impacts of urban landscape conversion on surface runoff quality

Urban Ecosystems - Given the rapid pace of urbanization and resulting pressures on water supplies in many regions, landscape water conservation has become increasingly important for many...     

Building Citizenship: How Student Voice in Service-Learning Develops Civic Values

Objective . Though many decry the decline in political participation and interest, few academic studies present a clear approach to help reverse these trends. This paper examines the impact of service-learning programs on students' self-concept, political engagement, and attitudes toward out-groups. Methods . The data come from a pre and post survey given to more than 200 high school students in 10 different schools. We use Huber regression to assess the impact of student voice in the service-learning project on six dependent variables. Results . We show that if students are involved in service-learning projects in which they have a high degree of voice and ownership, their self-concept and political engagement will improve, and they become more tolerant toward out-groups. Conclusion . In short, having a voice in service-learning programs builds citizenship.     

Complexity Factors and Intuition-based Methods for Facility Network Design

Logistics managers frequently utilize decision support systems (DSS) to make facility network design decisions. Many DSS do not provide optimization capabilities, but instead rely on scenario evaluation as a means for developing solutions. We experimentally assessed the performances of decision makers, including experienced managers, who used four variants of a scenario evaluation-based DSS to solve realistically sized network design problems of varying complexities. Complexity factors included DSS attributes, problem size, network types, and demand dispersion patterns. Decision makers' performances were assessed relative to optimal solutions. Overall, the decision makers generated relatively high-quality solutions using the DSS variants. The type of design problem solved did not significantly impact problem-solving performance. However, performance degraded and variability in solution quality escalated as problem size was increased. The availability of incremental solution cost improvement cues in the DSS significantly improved solution quality and reduced performance variability. Iconic graphic enhancements to the DSS did not consistently affect performance. However, significant interactions existed among the effects of DSS graphics capabilities, DSS information cues, and problem attributes.     

The Influences of User Characteristics on Performance in a Logistics DSS Application

Decision Support Systems (DSS) are widely used in logistics decision applications, and a large number and variety of systems are commercially available. We investigate the contributions of user characteristics including experiences, data preferences, intuition, and effort to decision performance in a logistics DSS context. The study includes a laboratory experiment in which decision makers with varied experiences used a DSS to make facility network design decisions for problems of varying complexity. Two variants of the DSS are utilized in order to examine the interactions of a DSS decision aid with user characteristics. We find that intuition and effort are associated with decision-making performance. High analytic ability is not related to intuition, however. Education and previous experience are associated with performance. Yet these characteristics are also unrelated to intuition. Decision makers who highly value disaggregated data provided by the DSS tend to perform poorly. Also, the results suggest that the effects of users' experiences and preferences on performance are influenced by an analytical decision aid.