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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The literature has consistently established levels of adolescent maladjustment well above national norms for both socioeconomic (SES) extremes (Lyman & Luthar 2014). Yet literature on positive adolescent adjustment, and its protective or even corrective factors is lacking (Eisenberg, Zhou, & Coller, 2001). This study examined the effects of gender and

The literature has consistently established levels of adolescent maladjustment well above national norms for both socioeconomic (SES) extremes (Lyman & Luthar 2014). Yet literature on positive adolescent adjustment, and its protective or even corrective factors is lacking (Eisenberg, Zhou, & Coller, 2001). This study examined the effects of gender and SES on parent attachment in relation to reports of prosocial behavior. Eleventh grade adolescents (N = 397) were recruited from two public high schools for academically-gifted students who were either high or low-level SES (i.e. the extremes). The students provided passive consent and answered questions on their demographics, perceived relationship with their parents, and tendency to behave in a prosocial manner. Multivariate analyses of variance and follow up analyses of variance were run by gender and SES to determine main effects for gender and SES on parent attachment and prosocial behavior. Regressions following preliminary correlations analyzed whether parental attachment predicted higher levels of adolescent prosocial behavior. Results demonstrated that females communicated with their mothers significantly more and reported higher levels of prosocial behavior than their male counterparts. Findings with regard to SES revealed that high SES adolescents reported increased parent attachment, whereas low SES adolescents reported higher levels of community\u2014based prosocial behaviors. Finally, certain dimensions of parent attachment predicted increases and decreases only in specific prosocial behaviors. Because prosocial behaviors change throughout adolescence, future ventures should consider a longitudinal analysis to obtain a more comprehensive picture of adolescent positive adjustment.
ContributorsAli, Hira (Author) / Luthar, Suniya (Thesis director) / Infurna, Frank (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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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