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- All Subjects: Anxiety
- All Subjects: Motivation
- All Subjects: Adolescence
- Creators: Hoffner, Kristin
- Member of: Theses and Dissertations
- Resource Type: Text
We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.
During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.
The purpose of this study was to identify the different contributors and predictors related to athlete burnout. Athlete burnout consists of emotional and physical exhaustion, reduced sense of accomplishments and sport devaluation. Moreover, motivation type, athletic identity, and being a student athlete can affect athlete burnout. Participants of this study were female, Division I soccer student-athletes located in Tempe, Arizona [n=22]. Athlete burnout was assessed with the Athlete Burnout Questionnaire (ABQ). Motivation type was assessed with the Behavioral Regulation in Sport Questionnaire (BRSQ). Athletic identity was assessed with the Athletic Identity Measurement Scale (AIMS). Student burnout was assessed with the Maslach Burnout Inventory - Student Survey (MBI-SS). All of the questionnaires were answered based on a Likert scale. Pearson correlations were used to find relationships between the different variables and athlete burnout. The results showed that 50% of the participants were burnt out at the end of their competitive season. Correlations were shown between the ABQ and its subscales: reduced accomplishment (r=0.6101, p<0.05), physical and mental exhaustion (r=0.8170, p<0.05), and devaluation (r=0.8697, p<0.05). Furthermore, the ABQ was also negatively correlated with general intrinsic motivation (r=-0.4943, p<0.05) and intrinsic motivation to know (r=-0.4865, p<0.05). The results from this study should be used for further research that focuses on education and prevention of athlete burnout in female soccer players.
The purpose of this study was to identify the different contributors and predictors related to athlete burnout. Athlete burnout consists of emotional and physical exhaustion, reduced sense of accomplishments and sport devaluation. Moreover, motivation type, athletic identity, and being a student athlete can affect athlete burnout. Participants of this study were female, Division I soccer student-athletes located in Tempe, Arizona [n=22]. Athlete burnout was assessed with the Athlete Burnout Questionnaire (ABQ). Motivation type was assessed with the Behavioral Regulation in Sport Questionnaire (BRSQ). Athletic identity was assessed with the Athletic Identity Measurement Scale (AIMS). Student burnout was assessed with the Maslach Burnout Inventory - Student Survey (MBI-SS). All of the questionnaires were answered based on a Likert scale. Pearson correlations were used to find relationships between the different variables and athlete burnout. The results showed that 50% of the participants were burnt out at the end of their competitive season. Correlations were shown between the ABQ and its subscales: reduced accomplishment (r=0.6101, p<0.05), physical and mental exhaustion (r=0.8170, p<0.05), and devaluation (r=0.8697, p<0.05). Furthermore, the ABQ was also negatively correlated with general intrinsic motivation (r=-0.4943, p<0.05) and intrinsic motivation to know (r=-0.4865, p<0.05). The results from this study should be used for further research that focuses on education and prevention of athlete burnout in female soccer players.