2007 Examples


Katie Kruse Factors that Influence the Racial Attitudes of White Americans
Abstract: This paper explores the relationship between one’s racial attitudes and six independent factors including: income, sex, political views, exposure to diversity in childhood neighborhoods, number of childhood friends one had of another race, and number of people one has dated of another race. Based on previous research, it was hypothesized that politically progressive, working class women from the most diverse neighborhoods and who had participated in friendships and romantic relationships with people of another race are the most racially progressive. Through survey research studying Luther College students, important trends were observed that did not always support the hypothesis. The study found no statistically significant relationship between racial attitudes and sex, political ideology, and number of people one has dated of another race. Those respondents who are women, politically progressive, and had dated someone of another race were more racially progressive. 

Samantha Love Kemp Body Dissatisfaction and Self-Efficacy in College Female Social Groups Abstract: This research investigated the relationship between negative feelings that women have about their body image and weight and their perceived abilities to cope with stressful and demanding situations. Forty-two college women—members of a feminist group, a sorority, and a softball team—were surveyed on body dissatisfaction and general self-efficacy using the Contour Drawing Rating Scale and the Generalized Self-Efficacy Test. It was hypothesized that women would have different levels of body image satisfaction and self-efficacy scores dependent on their group involvement and that women with a lower rate of body dissatisfaction would have higher self-efficacy. Results showed a weak negative correlation between self-efficacy and body dissatisfaction, however self-efficacy also had a negative correlation with several other “third variables” examined in the study, indicating that other factors may have a stronger relationship.