This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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While more first-generation college (FGC) students are enrolling in college than ever before, these students still have poorer performance and higher rates of dropout than continuing-generation college (CGC) students. While many theories have predicted the academic performance of FGC students, few have taken into account the cultural transition to the

While more first-generation college (FGC) students are enrolling in college than ever before, these students still have poorer performance and higher rates of dropout than continuing-generation college (CGC) students. While many theories have predicted the academic performance of FGC students, few have taken into account the cultural transition to the university context. Similar to ethnic biculturals, FGC students must adjust to the middle-class culture of the university, and face challenges negotiating different cultural identities. I propose that FGC students who perceive their working- and middle-class identities as harmonious and compatible should have improved performance, compared to those that perceive their identities as incompatible. In three preliminary studies, I demonstrate that first-generation college students identify as social class bicultural, that integrated social class identities are positively related to well-being, health, and performance, that the effects of integrated identities on health and well-being are mediated by reduced acculturative stress. The current studies explore whether these effects persist across time and whether exposure to middle-class norms before college predict social class bicultural identity integration for FGC students. Results demonstrate that the effects of social class bicultural identity integration on depression and academic performance persist across time and that exposure to college graduates before college

predicts social class bicultural identity integration.
ContributorsHerrmann, Sarah D (Author) / Varnum, Michael E. W. (Thesis advisor) / Cohen, Adam B. (Committee member) / Aktipis, Christine A (Committee member) / Doane, Leah D (Committee member) / Arizona State University (Publisher)
Created2017
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Description

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

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.

ContributorsClauss, Colleen (Author) / Hruschka, Daniel (Thesis director) / Davis, Mary (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / Department of Psychology (Contributor)
Created2022-05