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. 

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Effects of Phonotactic Probability during Early Novel Word Recognition

Description
The goal of this study was to examine whether there is any effect of phonotactic probability during the early phases of novel word recognition. In order to determine this, I performed two experiments. In Experiment 1, 33 adult monolingual English speakers learned 24 novel word-object pairings, half of which were…

The goal of this study was to examine whether there is any effect of phonotactic probability during the early phases of novel word recognition. In order to determine this, I performed two experiments. In Experiment 1, 33 adult monolingual English speakers learned 24 novel word-object pairings, half of which were high English phonotactic probability words and the other half were low English phonotactic probability words. I additionally included three conditions that varied the amount of exposures to each novel word-object pairing (i.e. One Exposure Condition, Two Exposures Conditions, and Five Exposures Condition). Experiment 2 was designed to clarify results found in Experiment 1, with improved randomization and fewer conditions (i.e. One Exposure Condition and Five Exposures Condition). The findings from both experiments were statistically significant in accuracy for Training condition, but not statistically significant for phonotactic probability nor for an interaction between phonotactic probability and Training condition. Although participants demonstrated learning across conditions there is no indication of a relationship between high and low phonotactic probability and novel word recognition. Collectively, these findings suggest that future studies will be necessary to determine if there is indeed an effect of phonotactic probability on early novel word recognition.
ContributorsQuinones, Sara Cristina (Co-author) / Quiñones, Sara (Co-author) / Benitez, Viridiana (Thesis director) / Tecedor Cabrero, Marta (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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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