Georgia College & State University

About: Georgia College & State University is a education organization based out in Milledgeville, Georgia, United States. It is known for research contribution in the topics: Population & Higher education. The organization has 950 authors who have published 1591 publications receiving 37027 citations.

Screencast Tutorials Enhance Student Learning of Statistics

Abstract: Although the use of computer-assisted instruction has rapidly increased, there is little empirical research evaluating these technologies, specifically within the context of teaching statistics. Th...

Factors that influence sexual arousal in men: a focus group study.

Abstract: The goal of this study was to improve our understanding of men’s sexual response and its components as well as the factors or types of situations that men describe as facilitating or interfering with sexual arousal. Six focus groups, involving 50 mostly white, heterosexual men (M age = 35.2 years; range, 18–70), were conducted. As it was previously found in women (Graham, Sanders, Milhausen, & McBride, Archives of Sexual Behavior, 33, 527–538, 2004), men described a wide range of physical (genital as well as nongenital) and cognitive/affective cues for sexual arousal. Also, men described the relationship between sexual desire and arousal as being variable and complex, presented a wide range of factors that increased or decreased sexual arousal, and showed substantial variability in both the importance and direction of their effects. The findings may help further development of models of sexual response and inform discussions about gender differences in sexual desire and arousal.

A test of a person -- issue contingent model of ethical decision making in organizations

Abstract: Despite the existence of a large number of models to explain the ethical decision-making process, rarely have the models been tested. This research validated the use of such models by showing that both issue-contingent variables and individual characteristics affect two commonly-proposed model components: i.e., moral judgment and moral intent. As proposed by Jones' (1991) ethical decision-making model and elaborated on by the author, the main effect of an issue-contingent variable, social consensus, and a closely-related variable, seriousness of consequences, influenced both moral judgment and moral intent. Many ethical decision-making models also argue for the inclusion of individual characteristics in the decision-making process. This study proposed and found that the individual characteristics of rule orientation and denial of responsibility influenced moral judgment and moral intent, respectively. However, contrary to some models, interactions between issue-contingent variables and individual characteristics were insignificant relative to the main effects variables. The relationships found have implications for future model testing, as well as for practising managers.

Window Dressing in Mutual Funds

Abstract: We provide a rationale for window dressing where investors respond to conflicting signals of managerial ability inferred from a fund’s performance and disclosed portfolio holdings. We contend that window dressers take a risky bet on their performance during a reporting delay period, which affects investors’ interpretation of the conflicting signals and hence their capital allocations. Conditional on good (bad) performance, window dressers benefit from higher (lower) investor flows as compared to non-window dressers. Window dressers also have poor past performance, possess little skill, and incur high portfolio turnover and trade costs, characteristics which in turn result in worse future performance.

Community Colleges under the Microscope: An analysis of Performance Predictors for native and Transfer Students:

Abstract: Stratified random samples of native and transfer students at a university were compared based on data extracted from student transcripts for 1989, 1990, and 1991. Transfers' first-semester GPAs at the university were less than their community college cumulative GPAs, but natives maintained similar upper and lower division GPAs. Regression analysis revealed, however, that upper division GPAs varied little between native and transfer students when influences of related variables were held constant. Separate regression analyses of transfer and native variables detected that lower division GPA and major were significant predictors of upper division GPA for both groups, but more so for transfers than for natives, with business and science majors earning lower GPAs than others. Although race was not a significant predictor for transfers, it was the most significant predictor for native students: White natives earned higher upper division GPAs than minority natives. The authors conclude that community colleges n...