Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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Description
This paper explores the consequences of cleaning rescue ropes with common disinfectants and cleansers in order to assess their usability in cleaning ropes contaminated with blood borne pathogens. Using a modified version of an industry-standard testing procedure and in-depth statistical analysis, it characterizes the effect each chemical has on the mechanical properties of the rope. The experiment measured the strength and elastic properties of rope core fibers soaked in different chemicals and at different concentration levels. The data show that certain common solutions for cleaning equipment are, in fact, damaging to the equipment and thus dangerous to the users. Even products marketed for climbing ropes were found to be potentially hazardous. The results also demonstrate a curious phenomenon occurring within the washing process that causes a shift in the elastic properties of the fibers, prompting additional research. Further work is needed to expand the breadth and depth of these results and to make effective recommendations to the rope industry and rescue professionals regarding rope care and maintenance.
ContributorsDenike, Andrew Nicholas (Author) / Middleton, James (Thesis director) / Liao, Yabin (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
While former New York Yankees pitcher Goose Gossage unleashed his tirade on the deterioration of the unwritten rules of baseball and nerds ruining the sport about halfway through my writing of the paper, sentiments like his were inspiration for my topic: the evolution of statistics and data in baseball. By telling the story of how baseball data and statistics have evolved, my goal was to also demonstrate how they have been intertwined since the beginning—which would essentially mean that nerds have always been ruining the sport (if you subscribe to that kind of thought).
In the quest to showcase this, it was necessary to document how baseball prospers from numbers and numbers prosper from baseball. The relationship between the two is mutualistic. Furthermore, an all-encompassing historical look at how data and statistics in baseball have matured was a critical portion of the paper. With a metric such as batting average going from a radical new measure that posed a threat to the status quo, to a fiercely cherished statistic that was suddenly being unseated by advanced analytics, it shows the creation of new and destruction of old has been incessant. Innovators like Pete Palmer, Dick Cramer and Bill James played a large role in this process in the 1980s. Computers aided their effort and when paired with the Internet, unleashed the ability to crunch data to an even larger sector of the population. The unveiling of Statcast at the commencement of the 2015 season showed just how much potential there is for measuring previously unquantifiable baseball acts.
Essentially, there will always be people who mourn the presence of data and statistics in baseball. Despite this, the evolution story indicates baseball and numbers will be intertwined into the future, likely to an even greater extent than ever before, as technology and new philosophies become increasingly integrated into front offices and clubhouses.
In the quest to showcase this, it was necessary to document how baseball prospers from numbers and numbers prosper from baseball. The relationship between the two is mutualistic. Furthermore, an all-encompassing historical look at how data and statistics in baseball have matured was a critical portion of the paper. With a metric such as batting average going from a radical new measure that posed a threat to the status quo, to a fiercely cherished statistic that was suddenly being unseated by advanced analytics, it shows the creation of new and destruction of old has been incessant. Innovators like Pete Palmer, Dick Cramer and Bill James played a large role in this process in the 1980s. Computers aided their effort and when paired with the Internet, unleashed the ability to crunch data to an even larger sector of the population. The unveiling of Statcast at the commencement of the 2015 season showed just how much potential there is for measuring previously unquantifiable baseball acts.
Essentially, there will always be people who mourn the presence of data and statistics in baseball. Despite this, the evolution story indicates baseball and numbers will be intertwined into the future, likely to an even greater extent than ever before, as technology and new philosophies become increasingly integrated into front offices and clubhouses.
ContributorsGarcia, Jacob Michael (Author) / Kurland, Brett (Thesis director) / Doig, Stephen (Committee member) / Jackson, Victoria (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This paper examines creative process and performance as a method of research for understanding self-in-context through the lens of my own artistic research for “Dress in Something Plain and Dark,” a project exploring my relationship as a woman to Mennonite religious and cultural identity, spirituality, and dance. Situating my artistic work in relationship to the fields of creative autoethnography, queer and transborder performance art, and somatic dance practice, I discuss the distinctions and commonalities of approach, methods, and practice of artists working in these fields, and the shared challenges of marginalization, translation, and contextualization. In response to these challenges, and the inadequacy of linear, Western, individualistic and mechanistic frameworks to address them, I draw from the ethnographic work of de la Garza, (formerly González, 2000) to seek a “creation-centered” ontological framework that the artist-researcher-performer may use to understand and contextualize their work. I offer the tree as an ontology to understand the organic, emergent nature of creative process, the stages of growth and seasonal cycles, and the structural parts that make up the creative and performative processes, and illustrate this model through a discussion of the growth of “Dress in Something Plain and Dark,” as it has emerged over two cyclical “seasons” of maturation.
Note: This work of creative scholarship is rooted in collaboration between three female artist-scholars: Carly Bates, Raji Ganesan, and Allyson Yoder. Working from a common intersectional, feminist framework, we served as artistic co-directors of each other’s solo pieces and co-producers of Negotiations, in which we share these pieces alongside each other. Negotiations is not a showcase of three individual works, but a conversation among three voices. As collaborators, we have been uncompromising in the pursuit of our own unique inquiries and voices and each of our works of creative scholarship stand alone. However, we believe that all of the parts are best understood in relationship to each other and to the whole. For this reason, we have chosen to cross-reference our thesis documents here, and we encourage readers to view the performance of Negotiations in its entirety.
Thesis documents cross-referenced:
French Vanilla: An Exploration of Biracial Identity Through Narrative Performance, by Carly Bates
Bhairavi: A Performance-Investigation of Belonging and Dis-Belonging in Diaspora Communities, by Raji Ganesan
Deep roots, shared fruits: Emergent creative process and the ecology of solo performance through “Dress in Something Plain and Dark,” by Allyson Yoder
Note: This work of creative scholarship is rooted in collaboration between three female artist-scholars: Carly Bates, Raji Ganesan, and Allyson Yoder. Working from a common intersectional, feminist framework, we served as artistic co-directors of each other’s solo pieces and co-producers of Negotiations, in which we share these pieces alongside each other. Negotiations is not a showcase of three individual works, but a conversation among three voices. As collaborators, we have been uncompromising in the pursuit of our own unique inquiries and voices and each of our works of creative scholarship stand alone. However, we believe that all of the parts are best understood in relationship to each other and to the whole. For this reason, we have chosen to cross-reference our thesis documents here, and we encourage readers to view the performance of Negotiations in its entirety.
Thesis documents cross-referenced:
French Vanilla: An Exploration of Biracial Identity Through Narrative Performance, by Carly Bates
Bhairavi: A Performance-Investigation of Belonging and Dis-Belonging in Diaspora Communities, by Raji Ganesan
Deep roots, shared fruits: Emergent creative process and the ecology of solo performance through “Dress in Something Plain and Dark,” by Allyson Yoder
ContributorsYoder, Allyson Joy (Author) / de la Garza, Sarah Amira (Thesis director) / Ellsworth, Angela (Committee member) / DeWitt, Inertia Q. E. D. (Committee member) / School of Film, Dance and Theatre (Contributor) / Herberger Institute for Design and the Arts (Contributor) / Barrett, The Honors College (Contributor) / Hugh Downs School of Human Communication (Contributor)
Created2016-05
Description
This paper intends to analyze the Phoenix Suns' shooting patterns in real NBA games, and compare them to the "NBA 2k16" Suns' shooting patterns. Data was collected from the first five Suns' games of the 2015-2016 season and the same games played in "NBA 2k16". The findings of this paper indicate that "NBA 2k16" utilizes statistical findings to model their gameplay. It was also determined that "NBA 2k16" modeled the shooting patterns of the Suns in the first five games of the 2015-2016 season very closely. Both, the real Suns' games and the "NBA 2k16" Suns' games, showed a higher probability of success for shots taken in the first eight seconds of the shot clock than the last eight seconds of the shot clock. Similarly, both game types illustrated a trend that the probability of success for a shot increases as a player holds onto a ball longer. This result was not expected for either game type, however, "NBA 2k16" modeled the findings consistent with real Suns' games. The video game modeled the Suns with significantly more passes per possession than the real Suns' games, while they also showed a trend that more passes per possession has a significant effect on the outcome of the shot. This trend was not present in the real Suns' games, however literature supports this finding. Also, "NBA 2k16" did not correctly model the allocation of team shots for each player, however, the differences were found only in bench players. Lastly, "NBA 2k16" did not correctly allocate shots across the seven regions for Eric Bledsoe, however, there was no evidence indicating that the game did not correctly model the allocation of shots for the other starters, as well as the probability of success across the regions.
ContributorsHarrington, John P. (Author) / Armbruster, Dieter (Thesis director) / Kamarianakis, Ioannis (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In the words of W. Edwards Deming, "the central problem in management and in leadership is failure to understand the information in variation." While many quality management programs propose the institution of technical training in advanced statistical methods, this paper proposes that by understanding the fundamental information behind statistical theory, and by minimizing bias and variance while fully utilizing the available information about the system at hand, one can make valuable, accurate predictions about the future. Combining this knowledge with the work of quality gurus W. E. Deming, Eliyahu Goldratt, and Dean Kashiwagi, a framework for making valuable predictions for continuous improvement is made. After this information is synthesized, it is concluded that the best way to make accurate, informative predictions about the future is to "balance the present and future," seeing the future through the lens of the present and thus minimizing bias, variance, and risk.
ContributorsSynodis, Nicholas Dahn (Author) / Kashiwagi, Dean (Thesis director, Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
The NFL is one of largest and most influential industries in the world. In America there are few companies that have a stronger hold on the American culture and create such a phenomena from year to year. In this project aimed to develop a strategy that helps an NFL team be as successful as possible by defining which positions are most important to a team's success. Data from fifteen years of NFL games was collected and information on every player in the league was analyzed. First there needed to be a benchmark which describes a team as being average and then every player in the NFL must be compared to that average. Based on properties of linear regression using ordinary least squares this project aims to define such a model that shows each position's importance. Finally, once such a model had been established then the focus turned to the NFL draft in which the goal was to find a strategy of where each position needs to be drafted so that it is most likely to give the best payoff based on the results of the regression in part one.
ContributorsBalzer, Kevin Ryan (Author) / Goegan, Brian (Thesis director) / Dassanayake, Maduranga (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
The concentration factor edge detection method was developed to compute the locations and values of jump discontinuities in a piecewise-analytic function from its first few Fourier series coecients. The method approximates the singular support of a piecewise smooth function using an altered Fourier conjugate partial sum. The accuracy and characteristic features of the resulting jump function approximation depends on these lters, known as concentration factors. Recent research showed that that these concentration factors could be designed using aexible iterative framework, improving upon the overall accuracy and robustness of the method, especially in the case where some Fourier data are untrustworthy or altogether missing. Hypothesis testing methods were used to determine how well the original concentration factor method could locate edges using noisy Fourier data. This thesis combines the iterative design aspect of concentration factor design and hypothesis testing by presenting a new algorithm that incorporates multiple concentration factors into one statistical test, which proves more ective at determining jump discontinuities than the previous HT methods. This thesis also examines how the quantity and location of Fourier data act the accuracy of HT methods. Numerical examples are provided.
ContributorsLubold, Shane Michael (Author) / Gelb, Anne (Thesis director) / Cochran, Doug (Committee member) / Viswanathan, Aditya (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
While the concept of healthcare is largely respected in Arab culture, the stigma underlying mental health is particularly startling. This study examined the differences in mental health treatment-seeking behaviors using data from Arabs living in Syria (12.9%) and Arabs (25.6%) and non-Arabs (61.5%) living in the United States of ages 18-60. A Web-based survey was developed to understand how factors like religiosity, acculturation, and positive attitudes towards psychological treatment increased help-seeking behaviors. This survey was also provided in Arabic to include non-English speaking participants. It was hypothesized that Arab-American individuals will be more open to pursuing professional psychological help when suffering from mental symptomology (i.e. anxiety) than individuals who identified as Syrian-Arabs. In contrast, both Syrian-Arabs and Arab-Americans would definitely pursue professional help when suffering from physical symptomology (i.e. ankle sprain). Striking differences were found based on Western acculturation. Findings suggested that Arab-Americans were less inclined towards treatment and more trusting of an in-group physician ("Dr. Ahmed") whereas Syrian-Arabs were more inclined to pursue psychological treatment and preferred to trust an out-group physician ("Dr. Smith"). The results of this study identify main concerns regarding Arab attitudes towards seeking mental health treatment, which can better inform future research and mental health services for this minority.
ContributorsRayes, Diana S (Author) / Brewer, Gene (Thesis director) / Cohen, Adam (Committee member) / Olive, Michael Foster (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2015-05
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
Description
Coherent vortices are ubiquitous structures in natural flows that affect mixing and transport of substances and momentum/energy. Being able to detect these coherent structures is important for pollutant mitigation, ecological conservation and many other aspects. In recent years, mathematical criteria and algorithms have been developed to extract these coherent structures in turbulent flows. In this study, we will apply these tools to extract important coherent structures and analyze their statistical properties as well as their implications on kinematics and dynamics of the flow. Such information will aide representation of small-scale nonlinear processes that large-scale models of natural processes may not be able to resolve.
ContributorsCass, Brentlee Jerry (Author) / Tang, Wenbo (Thesis director) / Kostelich, Eric (Committee member) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05