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- Creators: Ravel, Maurice, 1875-1937
Description
Many studies have supported the "epidemic" of increasing narcissism with the current generation. However, the importance of accurately measuring narcissism has never been greater. Studies have measured the reliability and feasibility of the narcissistic personality inventory (NPI) at reporting narcissism and the Noldus FaceReader technology at detecting basic emotions, but the validity of these two measurement tools working together needs to be further researched. This study investigated how reliable the Noldus FaceReader technology was at detecting basic emotions of participants while they performed the NPI personality quiz and if the emotions generated from the facial analysis software can accurately represent an individual's narcissistic characteristics. Specifically, the study explored how the narcissistic personality quiz and the newest version of Noldus FaceReader can be used to detect narcissistic individuals within a team environment. An intervention was conducted in which participants, 16 female collegiate soccer players, engaged in the fall soccer season. Narcissism scores were measured before and after the intervention and then analyzed in correlation with the emotions through the facial analysis software. Results from the study showed that the 40-question narcissistic personality quiz could be condensed into a 14-question quiz in order to truly detect narcissism by generating corresponding emotions. Results also showed that narcissism is most significantly and consistently correlated to the emotions of scared, angry, and disgusted.
ContributorsRaybe, Jessica Rose (Author) / Chisum, Jack (Thesis director) / Marsit, Joseph (Committee member) / Carr, Natasha (Committee member) / School of Nutrition and Health Promotion (Contributor) / School of Public Affairs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
For my Honor’s Project for Barrett the Honors College, I chose to research and develop an
application on the topic of Ideal Weightlifting Volume and Frequency for The Male Lifter. The
reason I decided to center my project around this topic is due to the plethora of information
available on this subject matter. However, I was more driven to pursue this subject matter due to
the lack of implementation and usage of all the relevant information and case studies offered to
us through the means of online journals, abstracts, reports, etc.
The application will be programmed using the software known as Android Studio. Inside
Android Studio, the programming language that will be utilized is Java. The goal for this
application is to gather information from the user, and with that information, create a conducive
weekly weightlifting regiment based on the wants and needs of the user. Furthermore, the
application will only create programs on a week to week basis, thus encouraging the user to
dabble with different preferences each week. Outputting the program on a week-to-week basis is
an integral logic of this program because it is my belief that if the user is given the privilege to
change their programming on a weekly basis this will allow for flexibility, adaptability, and the
pursuance of short-term goals, which is much more tangible in the onslaught of obtaining a goal.
When browsing through the app store or the internet, it is incredibly difficult to find online
programs that utilize research and scientific credibility. Many of these programs and trainers
offer quick results that are flashy and trendy, however lack any real qualitative reinforcement.
Thus, it is my mission, with my application, to create a program that is intuitive for the user, as
well as to provide scientific programming with proper citation of case studies and reports
conducted by educated individuals.
application on the topic of Ideal Weightlifting Volume and Frequency for The Male Lifter. The
reason I decided to center my project around this topic is due to the plethora of information
available on this subject matter. However, I was more driven to pursue this subject matter due to
the lack of implementation and usage of all the relevant information and case studies offered to
us through the means of online journals, abstracts, reports, etc.
The application will be programmed using the software known as Android Studio. Inside
Android Studio, the programming language that will be utilized is Java. The goal for this
application is to gather information from the user, and with that information, create a conducive
weekly weightlifting regiment based on the wants and needs of the user. Furthermore, the
application will only create programs on a week to week basis, thus encouraging the user to
dabble with different preferences each week. Outputting the program on a week-to-week basis is
an integral logic of this program because it is my belief that if the user is given the privilege to
change their programming on a weekly basis this will allow for flexibility, adaptability, and the
pursuance of short-term goals, which is much more tangible in the onslaught of obtaining a goal.
When browsing through the app store or the internet, it is incredibly difficult to find online
programs that utilize research and scientific credibility. Many of these programs and trainers
offer quick results that are flashy and trendy, however lack any real qualitative reinforcement.
Thus, it is my mission, with my application, to create a program that is intuitive for the user, as
well as to provide scientific programming with proper citation of case studies and reports
conducted by educated individuals.
ContributorsMallick, Zeeshan Khursheed (Author) / Marsit, Joseph (Thesis director) / Chisum, Jack (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Poor functional movement capabilities can often be indicative of an increased risk for non-contact musculoskeletal injury. The Functional Movement Screen is an efficient screen that categorizes people into "at risk for injury" or "not at risk for injury" through the use of seven comprehensive movement tests. Past research has shown that the screen is a valid and reliable tool in identifying an increased risk for injury. The Functional Movement Screen is ideal for fitness settings because those who exercise more often are putting themselves at a higher risk of developing harmful movement patterns or imbalances. Therefore, highly active populations would benefit the most from regular Functional Movement Screens. Functional Movement Screen scores could be utilized by fitness professionals to produce more effective and more individualized training programs that include exercises to maintain or correct functional movement capabilities. The scores on each individual movement test could be analyzed, and any low scores or asymmetries should be noted. Corrective exercises should target the low and asymmetrical scores. The Functional Movement Screen would benefit people who are seeking personal training, because their score on the screen could allow the fitness professional to design a program that targets their individual movement needs. Training programs could implement corrective exercise into the training plan to correct or maintain functional movement while also increasing strength or endurance. Motivational theory-based strategies could provide a method for fitness professionals to foster adherence to the corrective exercises. By increasing feelings of intrinsic motivation using the constructs of the Self-Determination Theory, fitness professionals could increase clients' adherence to corrective exercise and maintain or improve upon their functional movement capabilities.
ContributorsSchmidt, Jessica Pauline (Author) / Feser, Erin (Thesis director) / Marsit, Joseph (Committee member) / Hoffner, Kristin (Committee member) / School of Nutrition and Health Promotion (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Although maintaining an optimal level of muscle quality in older persons is necessary to prevent falls and disability, there has been limited research on muscle quality across age and gender groups. The associations of muscle quality, muscle strength, and muscle mass also remain less explored. Purpose: This study examined the muscle quality differences (arm and leg) between healthy young and elderly adults across gender groups. This study also examined the associations of muscle quality, muscle strength, and muscle mass in young and elderly adults, respectively. Methods: Seventy-one total subjects were recruited for this study within age groups 20-29 years old (20 females and 20 males) and 60-80 years old (18 females and 13 males). All participants completed anthropometric measures, dual-energy x-ray absorptiometry, pulse wave velocity, handgrip strength and leg strength tests, gait speed, and sit to stand test. Results: Young male adults had a greater leg muscle quality index (leg MQI) than did elderly male adults (21.8 Nm/kg vs. 16.3 Nm/kg, p = 0.001). Similarly, young female adults had a greater leg MQI than did old female adults (21.3 Nm/kg and 15.6 Nm/kg, p<0.001). For arm muscle quality index (arm MQI), there was a gender difference in young adults (p = 0.001), but not for the elderly adults. Among elderly adults, there was a positive association between leg MQI and isometric leg strength (r = 0.79, p<0.001). Notably, there was a negative association between leg MQI and leg lean mass (r = -0.70, p<0.001) and between arm MQI and arm lean mass (r = -0.58, p = 0.001). In young adults, there was also a positive association between arm MQI and handgrip strength (r = 0.53, p<0.001) and between leg MQI and isometric leg strength (r = 0.81, p<0.001). There was no association between muscle quality and muscle mass in young adults. Conclusion: Young adults had a greater leg muscle quality than did elderly adults in both men and women. Leg muscle quality is positively associated with leg muscle strength in both young and elderly adults but is inversely associated with leg muscle mass in the elderly adults.
ContributorsDierickx, Erin (Author) / Lee, Chong (Thesis advisor) / Swan, Pamela (Committee member) / Marsit, Joseph (Committee member) / Chisum, Jack (Committee member) / Arizona State University (Publisher)
Created2017
ContributorsRavel, Maurice, 1875-1937 (Composer) / Goulart, Renato (Arranger)
ContributorsRavel, Maurice, 1875-1937 (Composer)
ContributorsRavel, Maurice, 1875-1937 (Composer)
ContributorsRavel, Maurice, 1875-1937 (Composer)
ContributorsRavel, Maurice, 1875-1937 (Composer)
ContributorsRavel, Maurice, 1875-1937 (Composer)