The Co-occurrence of Depressive Symptoms and Alcohol Use for Adolescent Boys and Girls: An Investigation of the Role of Self-Regulation and Approach Behavior

While many studies have been conducted on adolescent depressive symptoms and alcohol use, much of the research has examined these behaviors separately rather than examining their co-occurrence within individuals. In the present study, adolescents (N = 4412; 49% female) were surveyed at four time points (grade 9, 10, 11, and 12) and growth mixture modeling was used to identify groups of individuals reporting various patterns of depressive symptoms and alcohol use across the high school years. Four groups were identified, including co-occurrence (higher depressive symptoms and higher alcohol use relative to peers, comprising 6.1 % of boys and 7.1 % of the girls in the sample), pure depressive symptoms (higher depressive symptoms and lower alcohol use; 12.7% of boys and 12.5% of girls), pure alcohol use (higher alcohol use and lower depressive symptoms; 20.9% of boys and 19.9% of girls), and low co-occurrence (lower depressive symptoms and alcohol use, 60.3% of boys and 60.5% of girls). Groups were compared on self-regulatory (i.e., delay of gratification) and approach behaviors. For both boys and girls, delay of gratification was the strongest predictor of group membership, with the co-occurrence group scoring the lowest and the low co-occurrence group the highest. This finding emphasizes the importance of assessing delay of gratification in the identification of high risk youth.

The female coach as a role model for personal growth and development to the female adolescent athlete

Research interest on the topic of female coaches as role models has recently emerged in the coaching literature. Social learning theory (Bandura, 1963; 1977; 1986) has also emerged as an essential framework in explaining learning through modeling. Previous research has examined the coach as a role model, as well as gender differences between coaches. Several authors, with several different conclusions, have studied the significance of gender as an influencer in role modeling. Whitaker and Molstad in 1988 conducted a study focusing on the coach as a role model. What they found was when they combined the results of high school and college aged athletes; the female coach was considered to be a superior role model. The current research used a social learning theory framework to examine the benefits and intricacies of the modeling relationship between female adolescent athletes and influential female coaches. To accomplish this task, the formative experiences of thirteen adolescent female athletes were examined. Each athlete was interviewed, with each semi-structured interview focusing on extracting the salient features of a coach that the athlete identified as being the most influential in her personal development. The data from these interviews were quaHtatively analyzed using case studies. From case studies, a template emerges in which the coach/athlete relationship can be seen as an essential construct in which caring and strong role models can have lasting effects on the lives, values, and successes of adolescent female athletes.

Impact of considering the effects of latent heat on caldera-hosted hydrothermal systems

To investigate the thennal effects of latent heat in hydrothennal settings, an extension was made to the existing finite-element numerical modelling software, Aquarius. The latent heat algorithm was validated using a series of column models, which analysed the effects of penneability (flow rate), thennal gradient, and position along the two-phase curve (pressure). Increasing the flow rate and pressure increases displacement of the liquid-steam boundary from an initial position detennined without accounting for latent heat while increasing the thennal gradient decreases that displacement. Application to a regional scale model of a caldera-hosted hydrothennal system based on a representative suite of calderas (e.g., Yellowstone, Creede, Valles Grande) led to oscillations in the model solution. Oscillations can be reduced or eliminated by mesh refinement, which requires greater computation effort. Results indicate that latent heat should be accounted for to accurately model phase change conditions in hydrothennal settings.

Forecasting the Yield Curve of Government Bonds: A Comparative Study

For the past 20 years, researchers have applied the Kalman filter to the modeling and forecasting the term structure of interest rates. Despite its impressive performance in in-sample fitting yield curves, little research has focused on the out-of-sample forecast of yield curves using the Kalman filter. The goal of this thesis is to develop a unified dynamic model based on Diebold and Li (2006) and Nelson and Siegel’s (1987) three-factor model, and estimate this dynamic model using the Kalman filter. We compare both in-sample and out-of-sample performance of our dynamic methods with various other models in the literature. We find that our dynamic model dominates existing models in medium- and long-horizon yield curve predictions. However, the dynamic model should be used with caution when forecasting short maturity yields