ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
Filtering by
- Genre: Diaries
- Genre: Autobiographies
By examining the author’s roles as a student, teacher, and researcher this study centers on conflicts and inconsistencies that arise at the intersections of self, community, institutions, and society. Included in the narrative’s analysis are issues related to positionality, visions of success, empowerment, resistance, neoliberalism, colonialism, psychological distance, and ideological purpose in teaching. The narrative concludes with the development of a personal vision of purposeful, empowering, liberating, and transformative pedagogy.
This study contributes its voice to conversations about inequity and inequality in education by asking the reader to examine conflicts, ask new questions, and critically engage with the dialogic text.
A Monte Carlo simulation was used to generate data based on the contextual multilevel model, where sample size, effect size, and intraclass correlation (ICC) of the predictor variable were varied. The effects of simulation factors on parameter bias, parameter variability, and standard error accuracy were assessed. Parameter estimates were in general unbiased. Power to detect the slope variance and contextual effect was over 80% for most conditions, except some of the smaller sample size conditions. Type I error rates for the contextual effect were also high for some of the smaller sample size conditions. Conclusions and future directions are discussed.