2 resultados para multiple discriminant analysis

em DRUM (Digital Repository at the University of Maryland)


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Happier employees are more productive. Organizations across industry, no doubt, try to improve their employees’ happiness with the objective to achieve higher profitability and company value. While this issue has drawn increasing attention in high tech and other industries, little is known about the happiness of project management professionals. More research is needed to explore the current situation of workplace happiness of project management professionals and the driving factors behind it. This thesis explores the workplace happiness (subjective well-being) of project management professionals based on the exploratory statistical analysis of a survey 225 professionals in the state of Maryland, conducted in October 2014. The thesis applies Structural Equation Modeling and multiple regression analysis to the dataset and shows no significant impact of gender, age, work experience, and some other demographic traits on workplace happiness, also named well-being. Statistically significant factors for workplace happiness include: creating pleasant work environment, promoting open organization and well-managed team, and good organization to work for. With respect to the reliability of self-reporting, the study finds that the comprehensive appraisal tool designed by Happiness Works and New Economics Foundation can give a more reliable happiness evaluation. Two key factors, i.e. career perspectives and free to be self, can help alleviate the overconfidence of workplace happiness.

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The purpose of this study is to explore the relationship between various collegiate experiences including substance use, religiosity, campus climate, academic life, social life, self-concept, satisfaction with college, and perceived feelings of depression among Asian American college students compared to other racial groups. Employing Astin’s (1993) I-E-O model, the study utilized the 2008 Cooperative Institutional Research Program (CIRP) the Freshman Survey (TFS) and the follow up College Senior Survey (CSS) in 2012 with the final sample of 10,710 students including 951 Asian American students. Descriptive analysis, cross-tabulations, blocked hierarchical multiple regression analysis, the equality of the unstandardized beta coefficients from the regression analyses, and a one-way ANOVA were conducted for the data analysis. Asian American students who are female, from low SES backgrounds, academically less achieved, frequent substance users, less religiously involved, and less satisfied with overall college experiences showed higher levels of feeling depressed. For the rate of feeling depressed across racial groups, Asian American college students showed the highest rate of feeling depressed while White students reported the lowest rate of feeling depressed. For Asian American college students, feeling depressed in high school, hours spent per week on studying and homework, and self-confidence in intellectual ability were the most significant predictors of feelings of depression while drinking beer, drinking liquor, spirituality, failing to complete homework on time, hours spent per week on socializing, self rated self-confidence in social ability, and satisfaction with overall college experiences were significant predictors of feelings of depression. Asian American college students spent the longest hours on studying and homework, reported the highest GPA, but showed the lowest self-confidence on intellectual ability. For all four racial groups, feeling depressed in high school and self-confidence in intellectual ability were significant predictors of feelings of depression in common. Implications for practice and directions for future research emphasize the need for better understanding the unique cultural background and impact of academic life associated with feelings of depression among Asian American college students and developing customized psycho-educational and outreach programs to meet unique needs for psychological well-being for each racial group on campus.