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.     

Experiments in mixed integer linear programming in a manufacturing system

This paper reports on a Manufacturing System and two Mixed Integer Programming (MIP) applications concurrent to it. The System is made up of four integrated modules designed to address problems of Strategic, Tactical and Operational Planning. The MIP applications concern problems of plant site selection and production planning. Optimization is done via the IBM's MPSX/370 Mathematical Programming Software.     

The Epileptic: A Study in Status-Role Relationships

The status-role of the epileptic in the United States and elsewhere is such that he is handicapped in gaining employment and education. In fact, it is not epilepsy per se which prevents epileptics from adequately participating in our society, but the beliefs about epilepsy. These beliefs have a long history and are derived from ancient and mythical sources. They have no validity in the light of medical advances made in this field over the past thirty years. Hence it is now necessary to give epileptics those educational and vocational opportunities which others have and of which epileptics have been unjustly deprived.     

Race,Region, and Earnings: Blacks and Whites in the South

Abstract Using data from the 1980 Public-Use Micro Sample (PUMS) A-file, we examine the effect of region on black and white earnings within the Black Belt and the rest of the South. We find that Black Belt residence depresses earnings for both blacks and whites, more or less equally. There was no support for the hypothesis that there would be a greater penalty to being black in the Black Belt, compared to being black in the non-Black Belt South. It is the additive effects of race and region that lead to lower earnings for Black Belt blacks. We conclude that region is a useful theoretical concept which needs to be more adequately theorized and incorporated into sociological analyses.     

Aging workers in search of employment & health insurance coverage

Aging workers, ages 55 to 64, face challenges finding employment and health insurance coverage. In the search for employment, they frequently discover that their skills and needs do not match the opportunities in today's work environment. Roadblocks in the search have the potential to negatively affect overall health and well-being. This article examines employment and health insurance challenges faced by aging workers and suggests nursing interventions that will help reduce stress and promote healthy aging.     

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.