The Relationship Between Hope,Eustress, Self-Efficacy,and Life Satisfaction Among Undergraduates

The construct of eustress was studied alongside hope and self-efficacy, to explore how these constructs are related to life satisfaction among undergraduates. Questionnaires were administered to undergraduates to test the hypotheses that (1) as eustress levels increase, so will life satisfaction levels; (2) when eustress, hope, and self-efficacy are examined together, they will predict life satisfaction better than eustress alone; (3) eustress, hope, and self-efficacy will all be positively correlated with life satisfaction; and (4) self-efficacy will be the most positively correlated with life satisfaction. The results revealed a significant positive correlation between eustress and life satisfaction. A Hierarchical Linear Regression analysis revealed significant results supporting hypotheses 2 and 3, but not hypothesis 4. Results indicated that hope is the best predictor of life satisfaction. The work reported provides a reliable tool for measuring eustress, examines eustress in a new way at the academic level, and provides helpful information about student wellness to college administrators.     

Models for the estimation of the probability of dying between birth and exact ages of early childhood

Abstract This paper develops two models, each of which is designed to estimate the probability of surviving from birth to selected exact ages of early childhood: namely ages two, three and five. The models are designed for use in areas with deficient registration systems. They require, as input, statistics which can be derived from retrospective data supplied by census or survey respondents. The first model, the age model, converts statistics on the proportion dead of children ever born to women in age groups 20-24, 25-29 and 30-34 into estimates of q2, q3 and q5. The second model, the marriage model, converts statistics on the proportion dead of children ever born to women of five-year marriage duration intervals into these estimates. The models can be used independently or simultaneously. These models were developed from data generated by a large number of empirical fertility and mortality schedules. Regression analysis was used to determine the parameter values of the relationships specified, and several sets of equations for estimating values of qa, for a = 2, 3 and 5 comprise the final product of the paper. It should be noted that the conceptual basis for the models was first derived by William Brass. The data generated for the regression analysis provided an opportunity to test the original Brass estimated model. We are able to report that the model performed well over the wide range of fertility and mortality conditions included in the test.     

The Multi-method Comprehensive Review: Synthesis and Analysis when Scholarship is International,Interdisciplinary, and Immense

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article presents a new strategy for reviewing large, multidisciplinary academic literatures: a multi-method...