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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Early adolescence is a pivotal stage of social and emotional development. Socialization traditionally occurs in person, but social interactions via technology (e.g., social media, video games) have grown in popularity. However, little research has been conducted on how early adolescents interact with technology and how these interactions relate to their

Early adolescence is a pivotal stage of social and emotional development. Socialization traditionally occurs in person, but social interactions via technology (e.g., social media, video games) have grown in popularity. However, little research has been conducted on how early adolescents interact with technology and how these interactions relate to their socialization as well as other factors such as reading habits or academic achievement. Seventh and eighth grade students (n = 719) completed a survey that captured information about their technology use, their academic habits and performance, and extracurricular involvement. It was hypothesized that those involved in more extracurricular activities would use the internet more socially and that internet use would be negatively correlated to both academic performance and recreational reading. Responses indicated that a majority of students have access to technology (e.g. internet, computers, television, gaming consoles, and tablets) in their homes. Social media use differed drastically between platforms. Analyses indicated a relation between amount of extracurricular activities on social television watching and social internet use, but not on social gaming. A significant negative correlation was found between recreational reading and time spent socializing online, but there was no significant effect of these factors on academic performance. Thus, hypotheses were partially supported by the relation between amount of extracurriculars and social internet use and the negative correlation between time spent socializing online and recreational reading.
ContributorsHorner, Kate Elizabeth (Author) / McNamara, Danielle (Thesis director) / McCarthy, Kathryn (Committee member) / Davis, Mary (Committee member) / Division of Teacher Preparation (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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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