Spirituality,Religion, and Career Development: Current Status and Future Directions

The growing interest in the role that spirituality and religion play in mental health has spawned research investigating the relationships between spirituality, religion, and career development. To date, only a limited number of studies have explored these variables in tandem, but generally these investigations have found aspects of spirituality and religion to relate positively to career decision self‐efficacy, career values, and job satisfaction. Theoretical models that explore the connection between these variables are outlined, and future research directions and counseling implications are suggested.     

Career Maturity of Students in Accelerated Versus Traditional Programs

The authors assessed the career maturity of students in accelerated versus traditional academic programs. Students in traditional programs were hypothesized to be more advanced regarding their career decision making and development when compared with students in accelerated programs. The Medical Career Development Inventory (see M. L. Savickas, 1984) was administered to 441 medical students. Results showed that students in traditional programs had significantly greater career crystallization and career specification. Interventions are needed to further the career maturity and developmental tasks of students in accelerated programs.     

White women and affirmative action in employment in six southern cities

The purpose of this research is to examine data from 167 randomly selected businesses on the impact of affirmative action and white female employment in six representative Florida cities. OLS regression analysis was used to explore the independent effects of affirmative action among other employment-related predictors. While white women are doing relatively well in the job market, employer support for affirmative action has no significant influence on their employment, even at higher job levels.     

Conservatism, institutionalism, and the social control of intergroup conflict

This research investigates the state social control of intergroup conflict by assessing the sociopolitical determinants of hate crime prosecutions. Consistent with insights from the political sociology of punishment, group-threat accounts of intergroup relations and the state, and neoinstitutional theory, the findings suggest that hate crime prosecutions are fewer where political conservatism, Christian fundamentalism, and black population size are higher, although this last effect is nonlinear. Linkages between district attorneys' offices and communities, on the other hand, increase hate crime prosecutions and the likelihood of offices' creating hate crime policies. Yet these policies are sometimes decoupled from actual enforcement, and such decoupling is more likely in politically conservative districts. The results indicate that common correlates of criminal punishment have very different effects on types of state social control that are protective of minority groups, and also suggest conditions under which policy and practice become decoupled in organizational settings.     

Bias-corrected maximum likelihood estimation of the parameters of the generalized Pareto distribution

ABSTRACT

We derive analytic expressions for the biases, to O(n^?1), of the maximum likelihood estimators of the parameters of the generalized Pareto distribution. Using these expressions to bias-correct the estimators in a selective manner is found to be extremely effective in terms of bias reduction, and can also result in a small reduction in relative mean squared error (MSE). In terms of remaining relative bias, the analytic bias-corrected estimators are somewhat less effective than their counterparts obtained by using a parametric bootstrap bias correction. However, the analytic correction out-performs the bootstrap correction in terms of remaining %MSE. It also performs credibly relative to other recently proposed estimators for this distribution. Taking into account the relative computational costs, this leads us to recommend the selective use of the analytic bias adjustment for most practical situations.