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Description
Introduction: The current study aimed to explore the prevalence rates of binge-eating and weight compensatory behaviors across sexual minority undergraduate men and women. Methods: The sample included 3411 undergraduate men and women from a large public university. Participants completed a self-report online questionnaire regarding various personality, social networking, and health behaviors. Results: Analyses showed no difference in binge-eating for women, but statistically significant differences across sexual orientation groups for weight compensatory behaviors. Analyses for men showed statistically significant differences between sexual orientation groups for objective-binge eating and self-induced vomiting. There were no differences among men for other behaviors. Discussion: These findings demonstrate both statistically and clinically significant differences across sexual orientation groups indicating that gender as well as sexual orientation bear a correlation to the propensity to engage in certain disordered eating behaviors.
ContributorsVon Schell, Anna Victoria (Author) / Perez, Marisol (Thesis director) / Ohrt, Tara (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Each part of the book is written from a different relative, literarily-inclined perspective. The portion of this submission that captures what my experience as a Barrett student has lended to my approved manuscript (by Dorrance Publishing Co.) lies with the excerpted material from Part IV. Below is the table of contents for the novel work itself, as well as the styles of writing assumed per part.
ContributorsDampare, Patrick Nelu (Author) / Blasingame, James (Thesis director) / Glenn, Bruce (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This thesis project examines the likely factors that cause students to drop out of Barrett, the Honors College. Honors literature regarding retention and attrition suggests four areas encompassing individual student attributes and honors program characteristics which may impact a student's decision to stay or leave an Honors College. The primary question in focus is, "Why do students leave the Honors College?" followed by the tertiary questions of, "what can be done to mitigate this occurrence?" and, "how does this affect the quality of an honors education?" Assessing attrition can be broken down into biographical, cognitive-behavioral, socio-environmental, and institutional-instrumental components. Students who graduated with honors and those who did not graduate with honors were assessed on these four components through survey methods and qualitative interviews to investigate specific reasons why students leave the honors program. The results indicated a wide array of reasons impacting student attrition, the most significant being negative perceptions towards (1) honors courses and contracts, (2) difficulty completing a thesis project, and (3) finding little to no value in "graduating with honors." Each of these reasons reflect the institutional-instrumental component of student attrition, making it the most salient group of reasons why students leave the Honors College. The socio-environmental component also influences student attrition through peer influence and academic advisor support, though this was found to be within the context of institutional-instrumental means. This project offers solutions to ameliorate each of the four components of attrition by offering standardized honors contracts and more mandatory honors classes, mandatory thesis preparatory courses instead of workshops, and emphasizing the benefit Barrett gives to students as a whole. These solutions aim at increasing graduation rates for future honors students at Barrett as well as improving the overall quality of an honors education.
ContributorsSanchez, Gilbert Xavier (Author) / Parker, John (Thesis director) / O'Flaherty, Katherine (Committee member) / School of Criminology and Criminal Justice (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Limited research has analyzed how culture might influence the utilization of social support. To address this deficiency, the present study investigated preferences for social support among East-Asian, Hispanic, and White participants. In this set of studies, a comprehensive social support taxonomy was constructed in order to better identify and conceptualize the various support subtypes found in the literature. Based on the taxonomy, a questionnaire measure for preferences of different types of social support was developed. Participants were asked to rate how helpful they would find each supportive action made by a friend or family member on a seven-point Likert scale. Based on the responses of 516 Amazon Mechanical Turk workers, a five-factor solution for an 18-item scale emerged from a factor analysis. The social support subscales supported by the factor analysis were emotional, tangible, self-referencing, reappraisal, and distraction. The questionnaire was used to assess similarities and differences among East-Asian, Hispanic, and White participants in terms of preferences for providing and receiving social support. Based on the results of 299 college-age students, an analysis of variance on individually standardized ("ipsatized") responses was conducted in order to eliminate the positioning effect of culture. A main effect of ethnicity (p=.05) and an interaction between ethnicity and sex (p=.02) were significant for the preference of tangible social support. A main effect of ethnicity (p=.04) and an interaction between ethnicity and sex (p=.05) were significant for the preference of reappraisal social support. Clinical implications of our research findings are discussed.
ContributorsCampagna, Allegra Xiu Hong (Author) / Shiota, Michelle N. (Thesis director) / Campos, Belinda (Committee member) / Yee, Claire (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Technology both stimulates and is simultaneously stimulated by people and society. As a classic example, games have shaped and have been shaped by people's preferences. Today, online computer games are roaming everywhere, attracting and connecting players all over the world. However, at the same time, a lesser form of technology has emerged alongside of online computer games. It is known as trading card games (TCGs). Surprisingly, TCGs have been able to compete on same level as online computer games. Looking at my past experiences, I offered a theory that encompasses three forms of social interactions to explain for TCGs' success. The three types of interactions are: interaction of identities, interaction of interests, and interaction of influences. Interaction of identities is the constant interchange of player information and knowledge through different mediums. Interaction of interests involves the exchange and quality of the tangible and intangible. Interaction of influences deals with the fluid flow of communication and ideas that players use to change an outcome, however consciously or unconsciously done. Not one of these three factors of interactions act along; each is a part of a grand picture of interaction of interactions. Altogether, these factors explain, at least in part, the current popularity of trading card games as a relatively simple technology in a society with a plethora of technologically advanced entertainments and games such as virtual computer gaming. A web-based survey was devised to further examine the effects of the three forms of interactions have on online computer game and trading card game players. The results were consistent with the premises of the three-factor interaction theory.
ContributorsQin, Sheng (Author) / Eaton, John P. (Thesis director) / Olsen, G. Douglas (Committee member) / Department of Psychology (Contributor) / Department of Management (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Background: Noninvasive MRI methods that can accurately detect subtle brain changes are highly desirable when studying disease-modifying interventions. Texture analysis is a novel imaging technique which utilizes the extraction of a large number of image features with high specificity and predictive power. In this investigation, we use texture analysis to assess and classify age-related changes in the right and left hippocampal regions, the areas known to show some of the earliest change in Alzheimer's disease (AD). Apolipoprotein E (APOE)'s e4 allele confers an increased risk for AD, so studying differences in APOE e4 carriers may help to ascertain subtle brain changes before there has been an obvious change in behavior. We examined texture analysis measures that predict age-related changes, which reflect atrophy in a group of cognitively normal individuals. We hypothesized that the APOE e4 carriers would exhibit significant age-related differences in texture features compared to non-carriers, so that the predictive texture features hold promise for early assessment of AD. Methods: 120 normal adults between the ages of 32 and 90 were recruited for this neuroimaging study from a larger parent study at Mayo Clinic Arizona studying longitudinal cognitive functioning (Caselli et al., 2009). As part of the parent study, the participants were genotyped for APOE genetic polymorphisms and received comprehensive cognitive testing every two years, on average. Neuroimaging was done at Barrow Neurological Institute and a 3D T1-weighted magnetic resonance image was obtained during scanning that allowed for subsequent texture analysis processing. Voxel-based features of the appearance, structure, and arrangement of these regions of interest were extracted utilizing the Mayo Clinic Python Texture Analysis Pipeline (pyTAP). Algorithms applied in feature extraction included Grey-Level Co-Occurrence Matrix (GLCM), Gabor Filter Banks (GFB), Local Binary Patterns (LBP), Discrete Orthogonal Stockwell Transform (DOST), and Laplacian-of-Gaussian Histograms (LoGH). Principal component (PC) analysis was used to reduce the dimensionality of the algorithmically selected features to 13 PCs. A stepwise forward regression model was used to determine the effect of APOE status (APOE e4 carriers vs. noncarriers), and the texture feature principal components on age (as a continuous variable). After identification of 5 significant predictors of age in the model, the individual feature coefficients of those principal components were examined to determine which features contributed most significantly to the prediction of an aging brain. Results: 70 texture features were extracted for the two regions of interest in each participant's scan. The texture features were coded as 70 initial components andwere rotated to generate 13 principal components (PC) that contributed 75% of the variance in the dataset by scree plot analysis. The forward stepwise regression model used in this exploratory study significantly predicted age, accounting for approximately 40% of the variance in the data. The regression model revealed 5 significant regressors (2 right PC's, APOE status, and 2 left PC by APOE interactions). Finally, the specific texture features that contributed to each significant PCs were identified. Conclusion: Analysis of image texture features resulted in a statistical model that was able to detect subtle changes in brain integrity associated with age in a group of participants who are cognitively normal, but have an increased risk of developing AD based on the presence of the APOE e4 phenotype. This is an important finding, given that detecting subtle changes in regions vulnerable to the effects of AD in patients could allow certain texture features to serve as noninvasive, sensitive biomarkers predictive of AD. Even with only a small number of patients, the ability for us to determine sensitive imaging biomarkers could facilitate great improvement in speed of detection and effectiveness of AD interventions..
ContributorsSilva, Annelise Michelle (Author) / Baxter, Leslie (Thesis director) / McBeath, Michael (Committee member) / Presson, Clark (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Global Devils is an organization of students that are interested or have previously studied, lived, travelled or interned abroad. The members advocate for cultural and global experiences that academically, professionally and personally enhance collegiate experiences. This creative project details the conceptualization and establishment of this international education student run-organization. The activity reports outline the process of working closely with the Arizona State University Study Abroad Office, creating a constitution, forming pillars and organization purpose, establishing meeting structure and how to apply and receive funding. This documentation additionally includes the club constitution, the club pillars and the establishment of the executive board positions: President, Secretary, Events Coordinator, Marketing Specialist, Cultural Engagement Chair and Finance Officer. To ensure the longevity of this organization, online documentation, via Google Drive, is available to all executive board members. This creative project additionally outlines how to recruit members, the best practices for outreach, such as email communication, and the events that Global Devils tabled at to outreach to a targeted audience. Via SunDevilSync, all members have access to the club's purpose, receive updates regarding Global Devils meetings, access to documents and executive board contact information. Lastly, throughout the process, ideas for improvement were documented.
ContributorsMalkoon, Denise Patricia (Author) / Infurna, Frank (Thesis director) / McManus, Seth (Committee member) / School of International Letters and Cultures (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
A growing number of jobs in the US require a college degree or technical education, and the wage difference between jobs requiring a high school diploma and a college education has increased to over $17,000 per year. Enrollment levels in postsecondary education have been rising for at least the past decade, and this paper attempts to tease out how much of the increasing enrollment is due to changes in the demand by companies for workers. A Bartik Instrument, which is a measure of local area labor demand, for each county in the US was constructed from 2007 to 2014, and using multivariate linear regression the effect of changing labor demand on local postsecondary education enrollment rates was examined. A small positive effect was found, but the effect size in relation to the total change in enrollment levels was diminutive. From the start to the end of the recession (2007 to 2010), Bartik Instrument calculated unemployment increased from 5.3% nationally to 8.2%. This level of labor demand contraction would lead to a 0.42% increase in enrollment between 2008 and 2011. The true enrollment increase over this period was 7.6%, so the model calculated 5.5% of the enrollment increase was based on the changes in labor demand.
ContributorsHerder, Daniel Steven (Author) / Dillon, Eleanor (Thesis director) / Schoellman, Todd (Committee member) / Economics Program in CLAS (Contributor) / Department of Psychology (Contributor) / Sandra Day O'Connor College of Law (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In this study, potential differences in the manifestation and rates of eating disorders and symptoms (body dissatisfaction, weight and shape concerns, food restriction, and compensatory behaviors) in college women across sexual orientations were examined. The sociocultural model of eating disorders was also examined for these women across sexual orientations. The participants were organized into three different sexual orientation groups for analysis: heterosexual (group 1), bisexual, pansexual, and polysexual (group 2), and lesbian, gay, queer, transsexual, asexual, and other (group 3). Using cross-sectional data, it was revealed that there were significant group differences when comparing the three sexual orientation groups on loss of control over eating, but no significant group differences on body dissatisfaction, thin ideal internalization, and weight-related eating pathology, and total eating disorder symptoms scores. The sociocultural model was not predictive of eating disorder symptoms among non-heterosexual groups. Longitudinal analyses revealed that the sociocultural model of eating disorders prospectively predicts eating disorder symptoms among heterosexual women, but not non-heterosexual women. Both cross-sectional and longitudinal analyses indicate that non-heterosexual women may be protected from societal pressure to subscribe to the thin ideal and its subsequent internalization. However, the comparison group of heterosexual women in our study may not have been completely representative of undergraduate women in terms of total eating disorder symptoms or eating pathology. Additionally, regardless of sexual orientation, our sample reported more total eating disorder symptoms and emotional eating than previous studies. These findings have both clinical and research implications. Future research is needed to determine what risk factors and treatment target variables are relevant for non-heterosexual women.
ContributorsNorman, Elizabeth Blair (Author) / Perez, Marisol (Thesis director) / Presson, Clark (Committee member) / Cavanaugh Toft, Carolyn (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Company X has developed RealSenseTM technology, a depth sensing camera that provides machines the ability to capture three-dimensional spaces along with motion within these spaces. The goal of RealSense was to give machines human-like senses, such as knowing how far away objects are and perceiving the surrounding environment. The key issue for Company X is how to commercialize RealSense's depth recognition capabilities. This thesis addresses the problem by examining which markets to address and how to monetize this technology. The first part of the analysis identified potential markets for RealSense. This was achieved by evaluating current markets that could benefit from the camera's gesture recognition, 3D scanning, and depth sensing abilities. After identifying seven industries where RealSense could add value, a model of the available, addressable, and obtainable market sizes was developed for each segment. Key competitors and market dynamics were used to estimate the portion of the market that Company X could capture. These models provided a forecast of the discounted gross profits that could be earned over the next five years. These forecasted gross profits, combined with an examination of the competitive landscape and synergistic opportunities, resulted in the selection of the three segments thought to be most profitable to Company X. These segments are smart home, consumer drones, and automotive. The final part of the analysis investigated entrance strategies. Company X's competitive advantages in each space were found by examining the competition, both for the RealSense camera in general and other technologies specific to each industry. Finally, ideas about ways to monetize RealSense were developed by exploring various revenue models and channels.
ContributorsDunn, Nicole (Co-author) / Boudreau, Thomas (Co-author) / Kinzy, Chris (Co-author) / Radigan, Thomas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / WPC Graduate Programs (Contributor) / Department of Psychology (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Science (Contributor) / W. P. Carey School of Business (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05