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- Genre: Masters Thesis
Description
There are multivariate factors that not only play a role in an individual's ability to lose weight, but may create barriers to his or her success. One such factor is internalized weight bias (IWB), which is inversely associated with weight loss outcomes and body satisfaction, and directly associated with psychosocial maladjustments such as depression and binge eating. This study examined the relationship between internalized weight bias and weight loss outcomes using a coding scheme developed for an online weight loss forum to see whether results would be consistent with self-administered surveys that measure IWB. The coding scheme was developed using an exploratory factor analysis of a survey composed of existing measures of IWB. Participants' posts within an online weight loss forum were coded and participants given a weekly IWB score that was compared to weekly weight loss using mixed model analysis. No significance was found between IWB and weight loss outcomes in this study, however, the coding scheme developed is a novel approach to measuring IWB, and the categories identified from latent constructs of IWB may be used in the future to determine the dimensions that exist within it. Ultimately, a better understanding of IWB could lead to the development of targeted weight loss interventions that address the beliefs and attitudes held by individuals who experience it.
ContributorsEscajeda, Janessa (Author) / Hekler, Eric (Thesis advisor) / Barroso, Cristina (Thesis advisor) / Dixon, Kathleen (Committee member) / Arizona State University (Publisher)
Created2015
Description
Depression is one of the top mental health concerns among undergraduatesand disproportionately affects students who are underrepresented in science. As
such, understanding how emerging science learning environments, such as online
science courses, affect students with depression is integral to creating a more
inclusive scientific community. In this exploratory study, I interviewed 24
undergraduates with depression who were pursuing an online BS degree in
biological sciences at a research-intensive institution. I assessed how students
perceived depression affected their learning, and in turn, how online science
courses affected their depression. Using a hybrid approach of deductive and
inductive coding, I found that students’ reported depression negatively affected an
array of cognitive domains when learning science online, including students’
effort, focus, and time management. Students reported that the fast pace of online
courses, the lack of needing to show up to a class in person, and difficulty
developing relationships with other students commonly exacerbated their
depression. Conversely, the flexibility of completing coursework when and where
students wanted, developing a relationship with the instructor, and the ease of
having questions answered online positively affected students' depression. This
study provides insight into ways to create inclusive online learning environments
for students with depression.
ContributorsMohammed, Tasneem (Author) / Cooper, Katelyn KC (Thesis advisor) / Brownell, Sara SB (Committee member) / Collins, James JM (Committee member) / Arizona State University (Publisher)
Created2022
Description
Online communities have created such an outpouring of new media that academia has not had the time to catch up. Creepypasta is a genre of online horror short story that began in the early 2000’s on the forums 4chan and Something Awful. In the twenty-two years since its inception, the academic discourse around it has sprouted but not flourished. Creepypasta as a genre is perhaps one of the newest and least understood offshoots of horror and the gothic. Thus far there have been no full-bodied attempts at defining the genre or looking at the works as a whole, instead there is only focus on the parts. This thesis will be attempting to define the genre and will undertake this by first analyzing the components that define the genre, its origins, claims to authenticity, and publishing routes, as well as the folkloric connections which have been the focus of the majority of the literature thus far. This will move into an analysis of a single example of the form, Accounts from a Lonely Broadcast Station, to demonstrate the application of the definition of the genre, but also to show the wide breadth of potential of this genre in being analyzed academically.
ContributorsRamirez, Makayla (Author) / Justice, George (Thesis advisor) / Zarka, Emily (Committee member) / Baldini, Cajsa (Committee member) / Arizona State University (Publisher)
Created2022
Description
Previous research used the context-free Big Five model of personality traits to predict social media behaviors. The perspective implicit in this research assumes that expression of the Big Five is free of situational context. This thesis challenges this assumption to address whether people express the same Big Five on social media as offline. In two studies, this thesis addressed three issues: (1) whether there are self-reported differences in the Big Five between social media/online and offline contexts, (2) whether a five-factor structure replicates in the offline and social media context reports, and (3) whether the predictive validity of the Big Five is the same between offline and social media contexts. College students (total N = 2102) reported their offline and social media Big Five. Main findings reveal that, first, all of the Big Five have lower expressions in social media/online than offline, except for those in the lowest quartile of offline trait expressions; possible explanations include regression towards the mean or the environmental impact of social media. Second, a similar factor structure appeared with openness, extraversion, and neuroticism items being the most robust between offline and social media contexts. However, some conscientiousness and agreeableness items did not apply across offline and social media contexts. Third, the Big Five had different predictive patterns of social media behaviors depending on the context. These findings inform that future research may better serve to specify the context of Big Five expression to understand social media behavior.
ContributorsBunker, Cameron James (Author) / Kwan, Virginia S. Y. (Thesis advisor) / Edwards, Michael C. (Committee member) / Kenrick, Douglas T. (Committee member) / Arizona State University (Publisher)
Created2020