Matching Items (3)
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- All Subjects: decision-making
- Creators: Basile, Carole
- Creators: Berry, Megan Cheyenne
Description
Temporal discounting refers to our tendency to discount the value of future rewards. At the extreme, temporal discounting can give rise to detrimental myopic decision-making. Most studies examining the neural basis of temporal discounting in people have been performed using functional Magnetic Resonance Imaging (fMRI). However, fMRI has relatively poor temporal resolution compared with the speed at which people make choices, so understanding choice dynamics using fMRI is difficult. We address the issue utilizing electroencephalography (EEG) to study cortical processes related to temporal discounting. The fMRI literature has found that a network of fronto-parietal brain regions plays an important role during the decision-making process. We aim to explore activity in these regions during the decision process and determine how cortical activity relates to choice parameters. Based on prior fMRI studies, we hypothesized that dorsomedial prefrontal cortex (dmPFC) may act as a regulator of dorsal lateral prefrontal cortex (dlPFC) and there will be an increase in dlPFC activity for more difficult decisions. We also hypothesized that neural activity may be directly related to the temporal discount rate we estimate behaviorally. We utilized regression analysis to determine the relationship. The results found supported our hypotheses. This study may open the door to a better understanding of the dynamic of brain regions while performing a temporal discounting task.
ContributorsTanwisuth, Koranis (Author) / McClure, Samuel (Thesis director) / Brewer, Gene (Committee member) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
By providing vignettes with manipulated scientific evidence, this research examined if including more or less scientific detail affected decision-making in regards to the death penalty. Participants were randomly assigned one of the two manipulations (less science and more science) after reading a short scenario introducing the mock capital trial and their role as jury members. Survey respondents were told that a jury had previously found the defendant guilty and they would now deliberate the appropriate punishment. Before being exposed to the manipulation, respondents answered questions pertaining to their prior belief in the death penalty, as well as their level of support of procedural justice and science. These questions provided a baseline to compare to their sentencing decision. Participants were then asked what sentence they would impose \u2014 life in prison or death \u2014 and how the fMRI evidence presented by an expert witness for the defense affected their decision. Both quantitative and qualitative measures were used to identify how the level of scientific detail affected their decision. Our intended predictor variable (level of scientific detail) did not affect juror decision-making. In fact, the qualitative results revealed a variety of interpretations of the scientific evidence used both in favor of death and in favor of life. When looking at what did predict juror decision-making, gender, prior belief in the death penalty, and political ideology all were significant predictors. As in previous literature, the fMRI evidence in our study had mixed results with regards to implementation of the death penalty. This held true in both of our manipulations, showing that despite the level of detail in evidence intended for mitigation, jurors with preconceived notions may still disregard the evidence, and some jurors may even view it is aggravating and thus increase the likelihood of a death sentence for a defendant with such brain abnormalities.
ContributorsBerry, Megan Cheyenne (Author) / Fradella, Hank (Thesis director) / Pardini, Dustin (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
This multi-phase dissertation explores how student placement management software can be evaluated, selected, adopted, and diffused within a university setting, considering multiple stakeholders with varying needs and differing levels of decision-making authority. Utilizing a case study design and Roger’s Diffusion of Innovation framework (2003), the articles are proposed to generate a guide modeled to improve practice, which is the primary goal of Action Research (Barnett & Muth, 2008). These articles will chronicle lessons learned, offer considerations, and provide helpful resources to strategically adopt a software platform within a university setting. The articles are proposed as follows: 1) Selection of Field Education Management Software in Social Work (v, published May 2020) focusing on the evaluation and selection phases for Social Work programs; and 2) Toward a Decision Support Tool for Selecting Third-Party Student Management Software in Field-based Education (target journal - Springer - Educational Technology Research and Development) which will expand on previous research to a broader audience of student-placing programs and diffusing the software innovation throughout the university setting. Each article will explore a different aspect of the Action Research, the findings which emerged from the study, and provide additional insights and implications to each journal audience.
ContributorsSamuels, Kristen Mitchell (Author) / Basile, Carole (Thesis advisor) / Wolf, Leigh G (Committee member) / Hitchcock, Laurel I (Committee member) / Arizona State University (Publisher)
Created2021