Theses and Dissertations

The purpose of this paper is to examine cross-cultural differences between the United States and Turkey by coding multiple dimensions, such as parental intrusiveness, child persistence, and various others. The main research questions of this paper were as follows: (1) How does parental intrusiveness vary by country? (2) How does child persistence vary by country? and (3) Are parental intrusiveness and child persistence correlated, and if so, what is the direction of the correlation? The hypotheses were that (1) Turkish parents would score higher on parental intrusiveness, (2) American children would show higher levels of persistence, and (3) Parental intrusiveness and child persistence are correlated, with higher levels of parental intrusiveness resulting in lower levels of child persistence. While all of the hypotheses were supported with statistically significant results, it was found that in the U.S., higher parental intrusiveness does result in lower levels of child persistence, but in Turkey, parental intrusiveness was not a predictor of child persistence. The findings are therefore able to support cross-cultural differences in the correlation between parental intrusiveness and child persistence.

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.