NCUR Proceedings

NCUR 2021 Proceedings Ahjah Hamilton: How Racism and Discrimination in the Literary Canon Effect American Education Education - Time: Tue 12:30pm-1:30pm - Session Number: 4168 Ahjah Hamilton, Barbara Thomspon and Dr. Althea Tait, Department of English, State University of New York 350 New Campus Dr, 14420 Ahjah Hamilton With the assistance of the McNair Program at SUNY Brockport, I have studied the ways in which African Americans, as well as other POC are represented in the literary canon and how this representation correlates to the curriculum in American classrooms. I recognized that racism and discrimination affect almost every aspect of society, including the education system. These issues are shown through the lack of diversity in school staff as well as school curriculum. This research was conducted partly because the works of Black and other POC scholars are often overlooked and understudied in comparison to their white counterparts. This research was conducted with the purpose of identifying how racism affects education because it is unfair and unethical for educators to focus their curriculum on white culture and history, when this doesn't reflect the diversity of the classrooms in which they teach. The information used was found through interviews, as well as other scholarly journals and articles. One major finding is that a lot of Black and other POC writers and poets such as Mari Evans, often feel unrecognized for their achievements, a statement even more true for the Black and POC women in the literary canon. Another major finding was that studies have shown that children and students are more receptive to information if they can somehow relate to it. Another major finding was that teachers at suburban schools tended not to have much representation, while teachers in urban schools typically have a more diverse curriculum even though there is still a lot more room for improvement. This research is intended to spark a conversation about the ways we can begin to make the education system more inclusive for the benefit of future students. With the assistance of the McNair Program at SUNY Brockport, I have studied the ways in which African Americans, as well as other POC are represented in the literary canon and how this representation correlates to the curriculum in American classrooms. I recognized that racism and discrimination affect almost every aspect of society, including the education system. These issues are shown through the lack of diversity in school staff as well as school curriculum. This research was conducted partly because the works of Black and other POC scholars are often overlooked and understudied in comparison to their white counterparts. This research was conducted with the purpose of identifying how racism affects education because it is unfair and unethical for educators to focus their curriculum on white culture and history, when this doesn't reflect the diversity of the classrooms in which they teach. The information used was found through interviews, as well as other scholarly journals and articles. One major finding is that a lot of Black and other POC writers and poets such as Mari Evans, often feel unrecognized for their achievements, a statement even more true for the Black and POC women in the literary canon. Another major finding was that studies have shown that children and students are more receptive to information if they can somehow relate to it. Another major finding was that teachers at suburban schools tended not to have much representation, while teachers in urban schools typically have a more diverse curriculum even though there is still a lot more room for improvement. This research is intended to spark a conversation about the ways we can begin to make the education system more inclusive for the benefit of future students. An Examination of the Impact of Corporate Environmental Performance on Corporate Financial Performance using NHST versus Bayesian Approaches Business - Time: Tue 11:00am-12:00pm - Session Number: 3502 Lisa Pink and Dr. James Cordeiro, Department of Business & Management, State University of New York- Brockport, 350 New Campus Drive, Brockport NY 14420 Lisa Pink Using data from diverse corporate environmental performance management sources, we compare the impact of environmental performance measures over 2002-2017 on corporate financial performance for a sample of large US corporations. Corporate financial performance is measured using both historical accounting measures (return on assets or ROA) and prospective market measures (Tobin’s Q). We control for the impacts of firm size, leverage, and other relevant variables and utilize time and industry dummies in our models. We also test linear and non-linear (e.g. quadratic) specifications to test for a positive impact of corporate environmental performance on corporate financial performance as well as a proposed curvilinear (U-shaped) effect, consistent with recent theory in the corporate social performance (CSR) area. A main contribution of the research is a discussion and explication of the differences between conventional null hypothesis significance testing (NHST) and Bayesian approaches to modeling. As part of this effort, we discuss the difference in philosophy underlying these two approaches, as well as in model specification such as the choice of priors, model testing, and interpretation of output. (Keywords: Corporate environmental performance, Corporate Financial Performance, Null Hypothesis Significance Testing, Bayesian Analysis) Using data from diverse corporate environmental performance management sources, we compare the impact of environmental performance measures over 2002-2017 on corporate financial performance for a sample of large US corporations. Corporate financial performance is measured using both historical accounting measures (return on assets or ROA) and prospective market measures (Tobin’s Q). We control for the impacts of firm size, leverage, and other relevant variables and utilize time and industry dummies in our models. We also test linear and non-linear (e.g. quadratic) specifications to test for a positive impact of corporate environmental performance on corporate financial performance as well as a proposed curvilinear (U-shaped) effect, consistent with recent theory in the corporate social performance (CSR) area. A main contribution of the research is a discussion and explication of the differences between conventional null hypothesis significance testing (NHST) and Bayesian approaches to modeling. As part of this effort, we discuss the difference in philosophy underlying these two approaches, as well as in model specification such as the choice of priors, model testing, and interpretation of output. (Keywords: Corporate environmental performance, Corporate Financial Performance, Null Hypothesis Significance Testing, Bayesian Analysis) Anxiety, Impulsivity and Intolerance of Uncertainty Psychology - Time: Wed 1:30pm-2:30pm - Session Number: 6578 M. Fensken, L. B. Forzano (mentor), G. Becker, & C. Bakalik, Department of Psychology, College at Brockport, SUNY, 350 New Campus Dr., Brockport, NY 14420 Michael Fensken Anxiety disorders represent the most frequently diagnosed mental health problem among American college students. Impulsivity has been linked with an anxiety as a potential risk factor. Impulsivity is defined as choosing smaller, sooner rewards, over larger, later rewards and is commonly measured with delay discounting tasks. It has been suggested that the delay discounting eﬀect, i.e., the tendency to value less delayed rewards, in anxious individuals is driven by their intolerance of uncertainty. Intolerance of uncertainty (IU) is defined as how acceptable uncertain situations are. In the current study, it is hypothesized that those with higher levels of anxiety will exhibit more delay discounting and higher intolerance of uncertainty than those with lower levels of anxiety. Preliminary analyses of 29 participants currently reveals no significant relationships between anxiety, intolerance of uncertainty and impulsivity measures (i.e.. computerized delay discounting and impulsivity tasks). Data collection is ongoing and it is expected that as the sample size increases towards the proposed number of 60 participants, significant results will be found. This study will address the gap in the field that links anxiety with impulsivity. Addressing this gap can lead to an improvement in the treatment and prevention of anxiety. Anxiety disorders represent the most frequently diagnosed mental health problem among American college students. Impulsivity has been linked with an anxiety as a potential risk factor. Impulsivity is defined as choosing smaller, sooner rewards, over larger, later rewards and is commonly measured with delay discounting tasks. It has been suggested that the delay discounting eﬀect, i.e., the tendency to value less delayed rewards, in anxious individuals is driven by their intolerance of uncertainty. Intolerance of uncertainty (IU) is defined as how acceptable uncertain situations are. In the current study, it is hypothesized that those with higher levels of anxiety will exhibit more delay discounting and higher intolerance of uncertainty than those with lower levels of anxiety. Preliminary analyses of 29 participants currently reveals no significant relationships between anxiety, intolerance of uncertainty and impulsivity measures (i.e.. computerized delay discounting and impulsivity tasks). Data collection is ongoing and it is expected that as

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