Theses and Dissertations
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For this thesis, 100 undergraduate and recent college graduates completed online self-report measures. Results of independent t-tests showed that there were no significant differences between South and East Asians in self-improvement, which is consistent with what was hypothesized. There were also no differences between South and East Asians in future self-connectedness or growth mindset. The two Asian groups were then combined and compared to North Americans. Further independent t-tests were run, and results found that while the trend was as expected and Asians exhibited higher levels of self-improvement than North Americans, they did not exhibit significantly higher levels. There were also no significant differences between North Americans and Asians in growth mindset, however, North Americans had significantly higher levels of future self-connectedness than Asians, contrary to expectation. Results of mediation regressions found that neither future self-connectedness nor growth mindset significantly explained the effect of culture on self-improvement.
Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.