Predictors of positive development in first-year college students

ABSTRACT

Objective: Emerging adulthood is an important phase in the transition to adulthood. Emerging adults experience minimal social control and incomplete development of executive functioning leaving this age-group at risk for misusing this newfound independence. Hence, it is important to understand pathways to support positive development (PD) outcomes. In this study, we examined the relationship between participation in civically engaged learning and PD among first-year college students. Participants: First-year college students (N = 225) were surveyed during the 2012–2013 academic year. Methods: Students were surveyed on measures of PD and engaged learning prior to the beginning (initial survey) and at the end of the first year (final survey) of their undergraduate education. Stepwise linear regression was used to examine the influence of engaged learning on PD outcomes. Results: Engaged learning during the academic year predicted flourishing and students' civic frequency. Also, faith-affiliation and parents' civic frequency contributed to students' civic frequency. Conclusions: Our interpretation of the findings suggests that engaged learning and family role modeling may promote PD among first-year undergraduate students.     

Conservative confidence intervals for a single parameter

The method of constructing confidence intervals from hypothesis tests is studied in the case in which there is a single unknown parameter and is proved to provide confidence intervals with coverage probability that is at least the nominal level. The confidence intervals obtained by the method in several different contexts are seen to compare favorably with confidence intervals obtained by traditional methods. The traditional intervals are seen to have coverage probability less than the nominal level in several instances, This method can be applied to all confidence interval problems and reduces to the traditional method when an exact pivotal statistic is known.     

Confidence intervals for n in the exponential order statistics problem

A simplified proof of the basic properties of the estimators in the Exponential Order Statistics (Jelinski-Moranda) Model is given. The method of constructing confidence intervals from hypothesis tests is applied to find conservative confidence intervals for the unknown parameters in the model.