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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- Creators: Dean, W.P. Carey School of Business
- Creators: O'Flaherty, Katherine
o binomial options regarding the participant’s willingness to participate in a specific deal. The study was broken into three blocks, the first of which dealt with the framing effect and the subsequent two considered loss aversion. Of the data collected, there were multiple significant results found to support the framing effect and loss aversion. There was a significant difference between responses that were positively and negatively framed, and between varying upside potential in equivalent-risk scenarios. For block one, those participants who received the positive framing condition were more likely to invest in the master’s program than those who received the negative framing condition. For blocks two and three, the majority of participants exhibited loss averse behavior more extreme than the predicted amounts; closer to 4x the upside was required (rather than the predicted 2x) for the participants to participate in the deal. Although the results did replicate the framing effect and loss aversion, college students were more loss averse than was predicted.
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.