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Student academic performance has far-reaching implications, such as lifetime earnings potential, that are beyond the immediate impact it may have on any individual student (Bureau of Labor Statistics [BLS], 2019). Colleges and universities also have a shared interest in the retention of their students as a poor reputation can depress

Student academic performance has far-reaching implications, such as lifetime earnings potential, that are beyond the immediate impact it may have on any individual student (Bureau of Labor Statistics [BLS], 2019). Colleges and universities also have a shared interest in the retention of their students as a poor reputation can depress enrollment and tarnish their brand. Public institutions have an especially large incentive for student success as many state and federal funding opportunities consider student retention and performance when allocating taxpayer dollars (Li, 2018). To assist in the mutual desire for students to succeed, the Calm Connection start-up venture formed with the goal of seamlessly integrating biofeedback therapy with a student’s unique education needs. Forming the foundation of the resulting Calm Connection app is software patented by NASA which allows for the collection and manipulation of biofeedback monitoring data on mobile devices with distinguishing features such as geolocation. For students, one of the largest barriers to effective learning is issues of focus and information retention, whether due to problems at home, conditions such as ADHD, or the high prevalence of test anxiety among students (Committee on Psychosocial Aspects of Child and Family Health et al., 2012). The repeated use of biofeedback therapy trains students to overcome these focus issues and works in conjunction with our app’s study aid and scheduling ability (Henriques et al., 2011). Among those surveyed and participants in follow-up focus groups, the Calm Connection app and its use of biofeedback monitoring has generated much interest and documented traction.

ContributorsSilverman, Marcus Samuel (Co-author) / Snow, Kylie (Co-author) / Schacht, Gregory (Co-author) / Byrne, Jared (Thesis director) / Sebold, Brent (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

During the COVID-19 pandemic, increased burdens have been placed on the Arizona healthcare system, and its healthcare providers. Using a survey with a sample of N=308 prescribing providers and nurses in the Arizona healthcare system, the impact of COVID-19 on the wellbeing of healthcare providers was assessed. The survey used

During the COVID-19 pandemic, increased burdens have been placed on the Arizona healthcare system, and its healthcare providers. Using a survey with a sample of N=308 prescribing providers and nurses in the Arizona healthcare system, the impact of COVID-19 on the wellbeing of healthcare providers was assessed. The survey used measures to evaluate for physical and emotional wellbeing, burnout, stressors associated with COVID-19, and work-life experiences, and found an overall negative impact on the wellbeing of healthcare workers during the COVID-19 pandemic with increased levels of reported stress and tiredness, concern for the health of family and loved ones, concern for the hardships of patients, lack of alignment between organizational priorities and personal values, and low levels of support and appreciation from socially and from leadership at work.

ContributorsJohnson, Emma Carina (Author) / Schuster, Roseanne (Thesis director) / Michalec, Barret (Committee member) / School of Molecular Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Flora Vita is a digital platform that connects families to outdoor excursions, programmed activities and local events, encouraging the familial ecosystem to flourish within Arizona's vast environment. We curate unique opportunities that allow families to cultivate internal relationships with one another and form relationships with local like-minded families in pursuit

Flora Vita is a digital platform that connects families to outdoor excursions, programmed activities and local events, encouraging the familial ecosystem to flourish within Arizona's vast environment. We curate unique opportunities that allow families to cultivate internal relationships with one another and form relationships with local like-minded families in pursuit of a healthy lifestyle.

ContributorsGarcia, Kate (Co-author) / Plunkett, Nina (Co-author) / Byrne, Jared (Thesis director) / Hall, Rick (Committee member) / Silverstein, Taylor (Committee member) / School of Human Evolution & Social Change (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

COVID-19 has proved that our society can be adaptable in the most unexpected situations. Chaos and fear struck the nation causing people to react in a variety of ways in an attempt to protect their own self interests. The retail space has had to adjust in large scales, making the

COVID-19 has proved that our society can be adaptable in the most unexpected situations. Chaos and fear struck the nation causing people to react in a variety of ways in an attempt to protect their own self interests. The retail space has had to adjust in large scales, making the shopping experience safer both for the customer and the employees. I was able to experience this first hand at Target, working there many years previous to and during the pandemic, getting to see the shift in consumer patterns. I noticed customers would purchase more products in one department, then the next month it would shift to another department. This paper will analyze those shifts in sales trends both departmentaly and within shopping methods at Target to help identify the largest changes and the possible reasons behind these.

ContributorsSalow, Alexandra (Author) / Byrne, Jared (Thesis director) / Broyles, Katie (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Bridging social capital describes the diffusion of information across networks built between individuals of different social identities. This project aims to understand if the bridging ties of economic connectedness (EC), measured by data from Facebook friends and calculated as the average share of high socioeconomic status friends that an individual

Bridging social capital describes the diffusion of information across networks built between individuals of different social identities. This project aims to understand if the bridging ties of economic connectedness (EC), measured by data from Facebook friends and calculated as the average share of high socioeconomic status friends that an individual from a low socioeconomic status has, can be a predictor of variations in COVID-19 infection risk across Arizona ZIP code tabulation areas (ZCTAs). Economic connectedness values across Arizona ZCTAs was examined in addition to the correlation of EC to various social and demographic factors such as age, sex, race and ethnicity, educational background, income, and health insurance coverage. A multiple linear regression model was conducted to examine the association of EC to biweekly COVID-19 growth rate from October 2020 to November 2021, and to examine the longitudinal trends in the association between these two factors. The study found that the bridging ties of economic connectedness has a significant effect size comparable to that of other demographic features, and has implications in being used to identify vulnerabilities and health disparities in communities during the pandemic.

ContributorsBoby, Maria (Author) / Oh, Hyunsung (Thesis director) / Marsiglia, Flavio (Committee member) / Liu, Li (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / School of Social Work (Contributor)
Created2023-05
Description

With recent reports indicating that there is a relatively low number of pregnant people vaccinated against COVID-19 in the United States (~30% per the Centers for Disease Control and Prevention, October, 2021), this study aims to understand the reasons for COVID-19 vaccine hesitancy among the pregnant population in the state

With recent reports indicating that there is a relatively low number of pregnant people vaccinated against COVID-19 in the United States (~30% per the Centers for Disease Control and Prevention, October, 2021), this study aims to understand the reasons for COVID-19 vaccine hesitancy among the pregnant population in the state of Arizona. Using a mixed-methods approach, this cross-sectional study employs both semi-structured qualitative interviews (n = 40) and a quantitative survey instrument (n = 400) to better understand the reasons for COVID-19 vaccine hesitancy among pregnant people, with data collected over the course of a few months. Descriptive statistics and logistic regression are employed to analyze the quantitative data and the semi-structured interviews are inductively coded to analyze themes across participant interviews. The results from this study are not only able to help better address disparities in COVID-19 vaccinations among pregnant people, but they also provide implications for vaccine hesitancy overall in order to develop interventions to address vaccine hesitancy. Future research is warranted to better understand regional differences in vaccine hesitancy and differences across populations.

ContributorsPerez, Valeria (Author) / Gamboa, Jazmin (Co-author) / Hernandez, Christopher (Co-author) / Lopez, Gilberto (Thesis director) / Ingram-Waters, Mary (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / School of Transborder Studies (Contributor) / Watts College of Public Service & Community Solut (Contributor)
Created2023-05
Description

The COVID-19 pandemic’s unprecedented nature caused significant disruptions in the global supply chain industry, resulting in setbacks for supply chain operations. The repercussions of the supply chain challenges impacted various industries. This thesis seeks to investigate the impact of the COVID-19 pandemic on the supply chain industry, with a focus

The COVID-19 pandemic’s unprecedented nature caused significant disruptions in the global supply chain industry, resulting in setbacks for supply chain operations. The repercussions of the supply chain challenges impacted various industries. This thesis seeks to investigate the impact of the COVID-19 pandemic on the supply chain industry, with a focus on how disruptions have affected the efficiency and resilience of companies within this sector. Data analytics will be leveraged to analyze these disruptions and improve supply chain operations.

ContributorsPatwardhan, Sampada (Author) / Sirugudi, Kumar (Thesis director) / Sopha, Matthew (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor)
Created2023-05
Description
Misinformation, defined as incorrect or misleading information, has been around since the beginning of time. However, the rise of technology and widespread use of social media has allowed misinformation to evolve and gain more traction. This study aims to examine health and political misinformation within the contexts of the COVID-19

Misinformation, defined as incorrect or misleading information, has been around since the beginning of time. However, the rise of technology and widespread use of social media has allowed misinformation to evolve and gain more traction. This study aims to examine health and political misinformation within the contexts of the COVID-19 pandemic and the 2020 U.S. Presidential Election. Utilizing samples of misinformation from the 45th president of the United States, I analyzed the levels of engagement that this misinformation received on the social media platform X, formerly known as Twitter. I also examined how various Google search query trends changed over time in response to this misinformation. Then, I categorized the data into misleading statistics, misrepresentations of opinions as facts, or completely false content. Lastly, I looked into the physical responses that resulted from the spread of such misinformation. My findings of this case study showed that misinformation received significantly more attention than other social media posts, as evidenced by increased Google searches related to the topics and higher levels of likes and retweets on misinformative Tweets during the specified periods. Furthermore, the former president employed all three types of misinformation, with misleading statistics most prevalent in the health misinformation sample and misrepresentations of opinions as facts most prevalent in the political misinformation sample. The repercussions of this misinformation encompassed individuals ingesting unsafe products, decreased trust in the electoral process, and a violent insurrection at the U.S. Capitol. Despite the existing research in this field, there remains much more to be uncovered regarding the vast amount of misinformation circulating on the Internet.
ContributorsShah, Sona (Author) / Boghrati, Reihane (Thesis director) / Simeone, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-12
ContributorsShah, Sona (Author) / Boghrati, Reihane (Thesis director) / Simeone, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-12
ContributorsShah, Sona (Author) / Boghrati, Reihane (Thesis director) / Simeone, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-12