Issue Saliency and Gender Stereotypes: Support for Women as Presidents in Times of War and Terrorism*

Objective. This article examines how issue saliency affects the public's perceptions of whether a man or a woman would make a better president when considering the most important problem facing the nation. Method. The study uses telephone survey data of adults in the United States collected by the Annenberg Public Policy Center in September 2003. Multinominial logistic regression models were conducted to parse out the effects of issue saliency on presidential gender preference while taking demographic characteristics and party identification into account. Results. People who said that terrorism, homeland security, and/or U.S. involvement in Iraq was the most important problem facing the nation were more likely to say that a man would do a better job handling the issue as president. Conclusion. This study finds that issue saliency affects presidential gender preference above and beyond demographic and party identification variables.     

Social capital online: Collective use of the Internet and reciprocity as lubricants of democracy

This article puts the democratic potential of using the Internet into perspective through an analysis of how collective uses of the Internet promote social capital. Research results reveal that social capital online (i.e. trust and reciprocity) is enhanced by involvement in collective use of the Internet such as participation in online communities and use of the Internet among informal groups in everyday life. This process could counter negative aspects of Internet use. Further, accumulated online social capital can be a powerful predictor of online political participation, i.e. online reciprocity has a positive effect on intention to participate in online civic discussion. Finally, the authors' analyses indicate the possibility of a spillover of online social capital into offline arenas. It is concluded that collective use of the Internet can be a lubricant for democracy.     

Relative Curvature Measure for Heteroscedastic or Non Normal Nonlinear Regression

The Bates–Watts relative curvature measure can assess the validity of the linearized approximation in nonlinear regression models. However, it is developed based on an ordinary nonlinear regression in which the observation is assumed to be homoscedastically and normally distributed. In this article, we extend the original Bates–Watts relative curvature measure to one that can be applicable to nonlinear regression with heteroscedastic or non normal data, based on the transformation-both-sides (TBS) approach. In pharmacokinetic models, a diagnostic use of their measures is illustrated. By means of a simulation experiment, the performance of the relative curvature measure for the TBS approach is evaluated.     

Estimation of Main Effect When Covariates Have Non-Proportional Hazards

The Cox proportional hazards (PH) regression model has been widely used to analyze survival data in clinical trials and observational studies. In addition to estimating the main treatment or exposure group effect, it is common to adjust for additional covariates using the Cox model. It is well known that violation of the PH assumption can lead to estimates that are biased and difficult to interpret, and model checking has become a routine procedure. However, such checking might focus on the primary group comparisons, and the assumption can still be violated when adjusting for many of the potential covariates. We study the effect of violation of the PH assumption of the covariates on the estimation of the main group effect in the Cox model. The results are summarized in terms of the bias and the coverage properties of the confidence intervals. Overall in randomized clinical trials, the bias caused by misspecifying the PH assumption on the covariates is no more than 15% in absolute value regardless of sample size. In observational studies where the covariates are likely correlated with the group variable, however, the bias can be very severe. The coverage properties largely depend on sample size, as expected, as bias becomes dominating with increasing sample size. These findings should serve as cautionary notes when adjusting for potential confounders in observational studies, as the violation of PH assumption on the confounders can lead to erroneous results.     

Social-ecological research in urban natural areas: an emergent process for integration

Urban Ecosystems - Understanding the structure and function of urban landscapes requires integrating social and ecological research. Here, we integrate parallel social and ecological assessments of...     

Applying the Housing First approach to single-site permanent supportive housing

This study explored how the U.S. Departments of Housing and Urban Development-Veterans Affairs Supportive Housing (HUD-VASH) program applies Housing First principles in the context of ten single-site programs. Focus group discussions with 64 HUD-VASH staff and community partners explored how the programs were influenced by Housing First principles and specific strategies to implement these principles in a single-site setting. Focus group respondents described resourceful ways that the principles of Housing First were implemented in their programs specifically related to (1) housing choice and structure, (2) separation of housing and services, (3) service philosophy, and (4) service array. Several of the Housing First domains cite the importance of integrated housing and the provision of services off-site; it was of particular interest to learn how single-site programs address these issues logistically. Lessons learned from this study include the importance of leveraging the independent yet overlapping tasks of case management and property management to ensure functional – if not geographic – separation of housing and services; maintaining staff on-site to address Veterans’ needs; working with community service organizations to complement the array of service available to residents; and housing single-site programs in mixed-use buildings.