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 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
Description

In the following paper, I aim to form relationships between different patient factors and no-show rates. The culmination of these relationships will then be used in a logistic regression model. Data collected from a survey at 26 HonorHealth clinics were analyzed using odds ratios and relative risk methods. Of 310,307

In the following paper, I aim to form relationships between different patient factors and no-show rates. The culmination of these relationships will then be used in a logistic regression model. Data collected from a survey at 26 HonorHealth clinics were analyzed using odds ratios and relative risk methods. Of 310,307 visits collected, 22,280 of them were no shows (7.2%), an 11% decrease from national averages (18.8%). This fueled the study, along with a grant filed by HonorHealth looking at the impact of telehealth on the working poor. A binary logistic regression method was run over the data, and less than 1% of patients' no-shows were predicted correctly. By adding factors, and improving the diversity in the data collected, model accuracy can be improved.

ContributorsHauxhurst, Spencer (Author) / Arquiza, Apollo (Thesis director) / Sharer, Rustan (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Harrington Bioengineering Program (Contributor)
Created2022-05
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ContributorsHauxhurst, Spencer (Author) / Arquiza, Apollo (Thesis director) / Sharer, Rustan (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2022-05
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ContributorsHauxhurst, Spencer (Author) / Arquiza, Apollo (Thesis director) / Sharer, Rustan (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2022-05