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
Predictive analytics have been used in a wide variety of settings, including healthcare,
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models

Predictive analytics have been used in a wide variety of settings, including healthcare,
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models
predict the likelihood of going for fourth down with a 64% or more probability based on
2015-17 data obtained from ESPN’s college football API. Offense type though important
but non-measurable was incorporated as a random effect. We found that distance to go,
play type, field position, and week of the season were key leading covariates in
predictability. On average, our model performed as much as 14% better than coaches
in 2018.
ContributorsBlinkoff, Joshua Ian (Co-author) / Voeller, Michael (Co-author) / Wilson, Jeffrey (Thesis director) / Graham, Scottie (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description

Until the Supreme Court’s landmark decision in National Collegiate Athletics Association (NCAA) vs. Alston, student-athletes were not allowed to be compensated for the millions of dollars in revenue they generate for universities. While universities cannot directly pay student-athletes, student-athletes can now make money based off their name, image, and likeness

Until the Supreme Court’s landmark decision in National Collegiate Athletics Association (NCAA) vs. Alston, student-athletes were not allowed to be compensated for the millions of dollars in revenue they generate for universities. While universities cannot directly pay student-athletes, student-athletes can now make money based off their name, image, and likeness (NIL). NIL legislation has the potential (and has begun to) change college recruiting with the transfer portal and free agency landscape. Now, schools can bake NIL connections into their recruiting pitch, creating a recruiting renaissance. This research is an empirical study to determine the factors that contribute to an athlete’s NIL valuation and earnings. A hierarchical mixed-model analysis run in SAS also is used to analyze the data. The significance of this study includes providing schools and athletes with vital information pertaining to their fiscal valuation during the recruiting process. The findings can help families and student athletes to better estimate expected NIL earnings.

ContributorsMercado, Erik (Author) / Wilson, Jeffrey (Thesis director) / McCreless, Tamuchin (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Economics (Contributor)
Created2023-05