Theses and Dissertations

In this formative research project, we seek to better understand the general barriers to refugee access to higher education. Using mixed methods research--which included surveys, interviews, and course data--we evaluate the benefits and challenges experienced by refugee students in Israel who are enrolled in Arizona State University's Education for Humanity programs. In the end, this case study resulted in 24 recommend programmatic changes designed to eliminate the barriers that prevent refugee students from accessing and succeeding in higher education.

In this formative research project, we seek to better understand the general barriers to refugee access to higher education. Using mixed methods research--which included surveys, interviews, and course data--we evaluate the benefits and challenges experienced by refugee students in Israel who are enrolled in Arizona State University's Education for Humanity programs. In the end, this case study resulted in 24 recommend programmatic changes designed to eliminate the barriers that prevent refugee students from accessing and succeeding in higher education.

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.