Theses and dissertations

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

Displaying 1 - 2 of 2
Filtering by

Clear all filters

132970-Thumbnail Image.png

Going Back in Time: Children’s Word Learning Through Backwards Integration

Description
For many years now, early word learning in children has been an important subject among many researchers. There are many ways in which children learn word-object pairings including using co-occurrences, forwards integration, and backwards integration. This study primarily focuses on backwards integration. Backwards integration entails using learned information to be…

For many years now, early word learning in children has been an important subject among many researchers. There are many ways in which children learn word-object pairings including using co-occurrences, forwards integration, and backwards integration. This study primarily focuses on backwards integration. Backwards integration entails using learned information to be able to recall a word-object pairing from a previous time. In this thesis, three different studies were conducted with children aged 3-7 years old. In the general task, children were presented with a computerized word-learning task in which they could track word-referent pairings using co-occurrence statistics, forward integration, and backward integration. The goal of Study 1 and Study 2 was to determine the best task design to study backwards integration. The goal of the final study, Study 3, was to provide preliminary data on backwards integration. The overall results indicate that a between subjects design is the most beneficial way to test backwards integration because as a group, children were learning when compared to chance. In addition, the results from Study 3 showed that children were not learning in the task. In general, this suggests that this task may have been very difficult for children to complete. One limitation of Study 3
was that there was a small sample size of only 29 children. In order to account for this, the sample sizes in Study 2 and Study 3 were combined. This combined data did show that children succeeded at the backwards integration condition. It is noteworthy to mention that backwards integration was above chance in Study 2 and in the Study 2 and 3 combination. Therefore, the overall results suggest that children may possibly be able to backwards integrate; however, no evidence of learning in any of the other conditions were present.
ContributorsLalani, Hanna Alyssa (Author) / Benitez, Viridiana (Thesis director) / Kupfer, Anne (Committee member) / Fabricius, William (Committee member) / Department of Psychology (Contributor) / Department of Management and Entrepreneurship (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
165078-Thumbnail Image.png

Ethnic Discrimination, Socioeconomic Status, and Health in India

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