Building the Sustainable Community: Is Social Capital the Answer?

Over the past decade, environmental sustainability has emerged as a prominent theme in the community development literature. In fact, the concept has become a standard feature of most economic and social development plans. Most models of sustainable community development stress the importance of widespread participation in the decision-making process. Unfortunately, community studies document numerous barriers to broad involvement and the high level of activeness envisioned by proponents of sustainable community development. In searching for ways to overcome these barriers, scholars and policymakers have embraced the idea that we can enhance efforts to create more sustainable communities by increasing the local stock of social capital. We examine this line of reasoning in light of what we view as the most important conceptual issues surrounding the relationship between social capital and sustainable community development. We conclude that before social capital is endorsed as a central component of public policy, much work remains to be done in terms of developing a more precise definition of the concept, situating it within extant theories of community, constructing better measures of social capital, documenting the activities and networks most important in building social capital, and gaining a better understanding of the forms of social capital that are most important in developing sustainable communities.     

Do Intentional Efforts to Improve Boards Really Work? The Views of Nonprofit CEOs

Commentators on the effectiveness of nonprofit boards of directors usually find them wanting in a number of ways and urge that they reform themselves. A study to ascertain how many boards actually accept this advice and intentionally attempt to change the way they operate also examines what changes boards attempt to make, what provokes their efforts, and what outcomes result.     

Expatriate adjustment and effectiveness: The mediating role of managerial practices

The purpose of this study was to examine the mediating effects of relations-oriented managerial behaviors on the relationship between two modes of expatriate adjustment—role innovation and personal change—and contextual performance. Using data from 194 expatriates and 505 of their subordinates, we found evidence of full mediation for the role innovation–performance relationship. For ratings of expatriate effectiveness, recognizing and team building behaviors appear to fully mediate the role innovation–performance relationship. For ratings of supervisor satisfaction, inspiring, supporting, and team building appear to fully mediate the role innovation–performance relationship. No significant results were found for the personal change–performance relationship. The results provide insights for extending current models of the expatriate adjustment process, and understanding the means by which expatriates fulfill their responsibilities.     

Leadership in Collaborative Community Health Partnerships

This article examines key leadership issues in community health partnerships. We assert that leadership in a partnership is differentiated from that in a traditional, hierarchical organization in that participation is voluntary and egalitarian and often entails cooperation by organizations with different cultures and agendas. Partnership leaders, accordingly, often lack formal control over members and their actions. Using qualitative analysis of 115 site‐visit interviews of participants in four partnerships in the Community Care Networks demonstration program, we identify and discuss five themes of collaborative leadership: systems thinking, vision‐based leadership, collateral leadership, power sharing, and process‐based leadership. We then discuss the multiple challenges that collaborative leadership faces in a community health partnership.     

High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics

We describe studies in molecular profiling and biological pathway analysis that use sparse latent factor and regression models for microarray gene expression data. We discuss breast cancer applications and key aspects of the modeling and computational methodology. Our case studies aim to investigate and characterize heterogeneity of structure related to specific oncogenic pathways, as well as links between aggregate patterns in gene expression profiles and clinical biomarkers. Based on the metaphor of statistically derived "factors" as representing biological "subpathway" structure, we explore the decomposition of fitted sparse factor models into pathway subcomponents and investigate how these components overlay multiple aspects of known biological activity. Our methodology is based on sparsity modeling of multivariate regression, ANOVA, and latent factor models, as well as a class of models that combines all components. Hierarchical sparsity priors address questions of dimension reduction and multiple comparisons, as well as scalability of the methodology. The models include practically relevant non-Gaussian/nonparametric components for latent structure, underlying often quite complex non-Gaussianity in multivariate expression patterns. Model search and fitting are addressed through stochastic simulation and evolutionary stochastic search methods that are exemplified in the oncogenic pathway studies. Supplementary supporting material provides more details of the applications, as well as examples of the use of freely available software tools for implementing the methodology.     

Basic Causal Frameworks

From the Editor

Basic Causal Frameworks     

The effects of interviewer race and child race on sexual abuse disclosures in forensic interviews

This study examined the impact of interviewer race and child race on disclosures by alleged child sexual abuse victims during forensic interviews. Despite findings that supportiveness of caretaker, gender of interviewer, gender of child, and age of child affect disclosure, previous studies have failed to examine race as a variable impacting disclosure in a real-world setting. The study examined 220 cases from an archive of reports generated from forensic interviews in an urban setting. The reports were reviewed and coded for degree of disclosure, focusing on African American and Caucasian children and interviewers. The results indicate that child race and the interaction of child race and interviewer race reliably distinguished between no disclosure, tentative disclosure, and disclosure with detailed account of activity, while interviewer race alone failed to serve as a significant predictor. The interaction between child race and interviewer race was not in the predicted direction, with cross-race dyads disclosing more than same-race dyads. Results are discussed in the context of real-world applications versus the previous analogue child sexual abuse literature.     

Credit and authorship practices: educational and environmental influences

A survey on credit issues of academic chemists in U.S. Ph.D.-granting institutions was conducted. The respondents rated 15 criteria for authorship of scientific publications; core intellectual contributions received the highest ratings although making a single suggestion that was essential to the successful completion of the project was rated very low. Acquisition of data was also rated highly. The respondents rated eight potential influences on their own "policy" toward giving credit; doing what "seems to be the right thing" was the highest rated influence followed by graduate educational experiences; professional society or other responsible conduct of research (RCR) institutional policies were rated, by far, the lowest.