Promoting Global Citizenship Through Study Abroad: The Influence of Program Destination, Type, and Duration on the Propensity for Development Volunteerism

Study abroad is cited commonly as a critical element of education for global civic engagement, but the significance of various programmatic features has not been well established. This study examines the relationships among three facets of study abroad programs—destination, type, and duration—and subsequent volunteerism through international development organizations. Survey responses were analyzed from 2,250 college alumni (71 % female, 14 % ethnic minority, M age = 27) who studied abroad between 1995 and 2005. The results of logistic regression indicated that studying abroad in a developing country and engaging in international service-learning were positively associated with the odds of development volunteerism. The number of months spent abroad also predicted development volunteerism, though duration did not moderate the effects of program destination and type. An interaction test demonstrated that program effects were not dependent on gender. The findings suggest that differences in the nature of study abroad programs influence the extent to which participants become actively engaged in global civil society.     

Locating Security in the Womb

The discourse surrounding US family planning policies has evolved into a highly moralistic one that mirrors US domestic debates surrounding abortion rights. However, the original intent of ‘population control’ was to protect US access to raw resources and maintain US global supremacy. US family policies did not first identify woman as the object to be controlled, but policies have changed such that women's bodies have become a symbolic representation of – and site of resistance to – the power relationships between the US and developing states. The change in the rhetoric – from population control to family planning, women's empowerment, environmental sustainability and human rights – does not mean the ‘rules’ enforced by the hegemon have changed so much as it indicates a process of identity formation occurring through the implementation of these rules.     

The Association Between Perceived Spirituality, Religiosity, and Life Satisfaction: The Mediating Role of Self-Rated Health

This study examined the mediating role of self-perceived health between perceived spirituality, religiosity, and life satisfaction among a stratified, random sample of college students, while controlling for gender. Although both models displayed excellent fit criteria, the perceived spirituality and life satisfaction model was fully mediated by self-perceived health χ² (n=459, 4) = 1.64, p=0.80, CFI =0.99, TLI=0.99), and the perceived religiosity and life satisfaction model was partially mediated by self-perceived health χ² (n=459, 10) = 22.29, p=0.01 CFI = 0.99, TLI = 0.99). Both models were equal for men and women. Students who describe themselves as spiritual (or religious) are likely to report greater self-perceived health and greater self-perceived health likely influences life satisfaction for both men and women. Results preliminarily support the contention that life satisfaction is related to differing reported health status, whether physical or mental, and that life satisfaction may be influenced by religiosity and spirituality engagement. Implications for colleges and universities are discussed.     

Sample size determination of steel's nonparametric many-one test

We derive sample size formulas for the many-one test of Steel (1959) when the all-pairs power is preassigned. In this large sample approach we replace, similar to Noether (1987), the unknown variances and also the unknown correlation coefficients in the power expressions by their known values under the null hypotheses. We then obtain least favorable configurations for one-and two-sided comparisons. The reliability of our formulas is examined in computer simulations for different alternatives with various distributions.     

Risk analysis in the brazilian stock market: copula-APARCH modeling for value-at-risk

Risk management of stock portfolios is a fundamental problem for the financial analysis since it indicates the potential losses of an investment at any given time. The objective of this study is to use bivariate static conditional copulas to quantify the dependence structure and to estimate the risk measure Value-at-Risk (VaR). There were selected stocks that have been performing outstandingly on the Brazilian Stock Exchange to compose pairs trading portfolios (B3, Gerdau, Magazine Luiza, and Petrobras). Due to the flexibility that this methodology offers in the construction of multivariate distributions and risk aggregation in finance, we used the copula-APARCH approach with the Normal, T-student, and Joe-Clayton copula functions. In most scenarios, the results showed a pattern of dependence at the extremes. Moreover, the copula form seems not to be relevant for VaR estimation, since in most portfolios the appropriate copulas lead to significant VaR estimates. It has found that the best models fitted provided conservative risk measures, estimates at 5% and 1%, in a scenario more aggressive.