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.
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Description
In the last years of the twentieth century, while the narrative of women in other Latin American countries has received critical attention, Bolivian women's narrative has been widely ignored. The fact that the voice of Bolivian women in Latin American feminist discourse is rarely discussed in Latin American criticism is enough to justify the present study. This work focuses on three prominent Bolivian writers: Gaby Vallejos, Giovanna Rivero Santa Cruz, and Erika Bruzonic. The short stories of these three authors are characterized by accentuating certain telluric features revealed in the background of their feminine/feminist narratives. At the same time, based on the American and European feminist literary critique, this work analyzes the feminine/feminist themes mounted in the narrative of these authors. Gaby Vallejos, with a cinematic style, chronicles the life and customs of the "valluno" context, building a mosaic of different voices in dialogue. Her topics revolve around binaries: life-death, and pain and pleasure, voicing condemnation for a patriarchal society. Ericka Bruzonic deals with women and identity, memory and the breaking of lineage as an imposing structure. Her themes are built around the cosmopolitism of "paceña" urban life, and her voice transgresses the binomials established by a patriarchal society. Finally Giovanna Rivero Santa Cruz takes the life and customs of the Santa Cruz and the Guarani culture and her plots weave these elements reaching for myths and taboos, involving the reader into her stories. In this manner, her narrative makes an incursion into the conscious and unconscious realm of the readers questioning their wealth of moral and social values, their notions of heterosexuality, and sexual taboos. The three writers, with different narrative styles yet dialogical, narrate various experiences of women from different regions, social classes, ages, education, and sexual orientations. Our authors give high value to the word and the body embedded in the culture, thereby affirming their woman's voice as Bolivians and their literary presence in the context of Latin American literature.
ContributorsLopez, Norma (Author) / Urioste-Ascorra, Carmen (Thesis advisor) / Tompkins, Cynthia (Committee member) / Rosales, Jesus (Committee member) / Arizona State University (Publisher)
Created2013
Description
Many longitudinal studies, especially in clinical trials, suffer from missing data issues. Most estimation procedures assume that the missing values are ignorable or missing at random (MAR). However, this assumption leads to unrealistic simplification and is implausible for many cases. For example, an investigator is examining the effect of treatment on depression. Subjects are scheduled with doctors on a regular basis and asked questions about recent emotional situations. Patients who are experiencing severe depression are more likely to miss an appointment and leave the data missing for that particular visit. Data that are not missing at random may produce bias in results if the missing mechanism is not taken into account. In other words, the missing mechanism is related to the unobserved responses. Data are said to be non-ignorable missing if the probabilities of missingness depend on quantities that might not be included in the model. Classical pattern-mixture models for non-ignorable missing values are widely used for longitudinal data analysis because they do not require explicit specification of the missing mechanism, with the data stratified according to a variety of missing patterns and a model specified for each stratum. However, this usually results in under-identifiability, because of the need to estimate many stratum-specific parameters even though the eventual interest is usually on the marginal parameters. Pattern mixture models have the drawback that a large sample is usually required. In this thesis, two studies are presented. The first study is motivated by an open problem from pattern mixture models. Simulation studies from this part show that information in the missing data indicators can be well summarized by a simple continuous latent structure, indicating that a large number of missing data patterns may be accounted by a simple latent factor. Simulation findings that are obtained in the first study lead to a novel model, a continuous latent factor model (CLFM). The second study develops CLFM which is utilized for modeling the joint distribution of missing values and longitudinal outcomes. The proposed CLFM model is feasible even for small sample size applications. The detailed estimation theory, including estimating techniques from both frequentist and Bayesian perspectives is presented. Model performance and evaluation are studied through designed simulations and three applications. Simulation and application settings change from correctly-specified missing data mechanism to mis-specified mechanism and include different sample sizes from longitudinal studies. Among three applications, an AIDS study includes non-ignorable missing values; the Peabody Picture Vocabulary Test data have no indication on missing data mechanism and it will be applied to a sensitivity analysis; the Growth of Language and Early Literacy Skills in Preschoolers with Developmental Speech and Language Impairment study, however, has full complete data and will be used to conduct a robust analysis. The CLFM model is shown to provide more precise estimators, specifically on intercept and slope related parameters, compared with Roy's latent class model and the classic linear mixed model. This advantage will be more obvious when a small sample size is the case, where Roy's model experiences challenges on estimation convergence. The proposed CLFM model is also robust when missing data are ignorable as demonstrated through a study on Growth of Language and Early Literacy Skills in Preschoolers.
ContributorsZhang, Jun (Author) / Reiser, Mark R. (Thesis advisor) / Barber, Jarrett (Thesis advisor) / Kao, Ming-Hung (Committee member) / Wilson, Jeffrey (Committee member) / St Louis, Robert D. (Committee member) / Arizona State University (Publisher)
Created2013
Description
Nowadays product reliability becomes the top concern of the manufacturers and customers always prefer the products with good performances under long period. In order to estimate the lifetime of the product, accelerated life testing (ALT) is introduced because most of the products can last years even decades. Much research has been done in the ALT area and optimal design for ALT is a major topic. This dissertation consists of three main studies. First, a methodology of finding optimal design for ALT with right censoring and interval censoring have been developed and it employs the proportional hazard (PH) model and generalized linear model (GLM) to simplify the computational process. A sensitivity study is also given to show the effects brought by parameters to the designs. Second, an extended version of I-optimal design for ALT is discussed and then a dual-objective design criterion is defined and showed with several examples. Also in order to evaluate different candidate designs, several graphical tools are developed. Finally, when there are more than one models available, different model checking designs are discussed.
ContributorsYang, Tao (Author) / Pan, Rong (Thesis advisor) / Montgomery, Douglas C. (Committee member) / Borror, Connie (Committee member) / Rigdon, Steve (Committee member) / Arizona State University (Publisher)
Created2013
Description
This work presents two complementary studies that propose heuristic methods to capture characteristics of data using the ensemble learning method of random forest. The first study is motivated by the problem in education of determining teacher effectiveness in student achievement. Value-added models (VAMs), constructed as linear mixed models, use students’ test scores as outcome variables and teachers’ contributions as random effects to ascribe changes in student performance to the teachers who have taught them. The VAMs teacher score is the empirical best linear unbiased predictor (EBLUP). This approach is limited by the adequacy of the assumed model specification with respect to the unknown underlying model. In that regard, this study proposes alternative ways to rank teacher effects that are not dependent on a given model by introducing two variable importance measures (VIMs), the node-proportion and the covariate-proportion. These VIMs are novel because they take into account the final configuration of the terminal nodes in the constitutive trees in a random forest. In a simulation study, under a variety of conditions, true rankings of teacher effects are compared with estimated rankings obtained using three sources: the newly proposed VIMs, existing VIMs, and EBLUPs from the assumed linear model specification. The newly proposed VIMs outperform all others in various scenarios where the model was misspecified. The second study develops two novel interaction measures. These measures could be used within but are not restricted to the VAM framework. The distribution-based measure is constructed to identify interactions in a general setting where a model specification is not assumed in advance. In turn, the mean-based measure is built to estimate interactions when the model specification is assumed to be linear. Both measures are unique in their construction; they take into account not only the outcome values, but also the internal structure of the trees in a random forest. In a separate simulation study, under a variety of conditions, the proposed measures are found to identify and estimate second-order interactions.
ContributorsValdivia, Arturo (Author) / Eubank, Randall (Thesis advisor) / Young, Dennis (Committee member) / Reiser, Mark R. (Committee member) / Kao, Ming-Hung (Committee member) / Broatch, Jennifer (Committee member) / Arizona State University (Publisher)
Created2013
Community-based development: scaling up the correct use of misoprostol at home births in Afghanistan
Description
Globally, more than 350 000 women die annually from complications during pregnancy and childbirth (UNFPA, 2011). Nearly 99% of these, according to World Health Organization (WHO) trends (2010) occur in the developing world outside of a hospital setting with limited resources including emergency care (WHO, 2012; UNFPA, 2011). The most prevalent cause of death is postpartum hemorrhage (PPH), accounting for 25% of deaths according to WHO statistics (2012). Conditions in Afghanistan are reflective of the scope and magnitude of the problem. In Afghanistan, maternal mortality is thought to be among the highest in the world. The Afghan Mortality Survey (AMS) data implies that one Afghan woman dies about every 2 hours from pregnancy-related causes (AMS, 2010). Lack of empowerment, education and access to health care resources increase a woman's risk of dying during pregnancy (AMS, 2010). This project aims to investigate the prospects of scaling-up the correct use of misoprostol, a prostaglandin E1 analogue, to treat PPH in developing countries where skilled assistance and resources are scant. As there has been little published on the lessons learned from programs already in place, this study is experience-driven, based on the knowledge of industry experts. This study employs a concurrent triangulation approach to synthesize quantitative data obtained from previous studies with qualitative information gathered through the testimonies of key personnel who participated in pilot programs involving misoprostol. There are many obstacles to scaling-up training initiatives in Afghanistan and other low-resource areas. The analysis concludes that the most crucial factors for scaling-up community-based programs include: more studies analyzing lessons learns from community driven approaches; stronger partnerships with community health care workers; overcoming barriers like association with abortion, misuse and product issues; and a heightened global and community awareness of the severity of PPH without treatment. These results have implications for those who actively work in Afghanistan to promote maternal health and other countries that may use Afghanistan's work as a blueprint for reducing maternal mortality through community-based approaches. Keywords: Afghanistan, community-based interventions, community-driven, maternal mortality, MDG5, misoprostol, postpartum hemorrhage, reproduction, scale-up
ContributorsCristy, Candice (Author) / Grossman, Gary (Thesis advisor) / Parmentier, Mary-Jane (Committee member) / Byrd, Denise (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation integrates humanities with social science methodologies within a critical framework, seeking to explore the relationship between the neoliberal restructuring and the intersection of gender, class and heteronormativity in contemporary China. In this project, neoliberalism is conceptualized as an art of governance centering on the intersection of race, gender, class and sexuality to create market subjects and sustain market competition. Focusing on China's recent socio-economic and cultural upheavals, this dissertation tries to address these questions: 1. How have class inequalities, binaristic gender and heteronormative discourses been employed intersectionally by the Chinese state to facilitate China's social transformation? 2. How has this process been justified and consolidated through the intersection of gender, class, sexuality and race? 3. How do the marginalized groups respond to these material and cultural practices? Building on the discursive analysis of China's televised 60th anniversary ceremony and If You Are the One, a popular Chinese reality show, as well as the data from the interview, focus group and participant observation of more than 100 informants, it is found that the intersection of gender, class and heteronormativity is central to China's neoliberal transition. A group of flexible and cheap laborers have been disarticulated and rearticulated from the population as the voluntary servitude to China's marketization and re-integration with the global economy. New controlling images, such as the bourgeois nucleus family, are created to legitimize this process. However, these disparate material and discursive practices have entailed contradictions and conflicts within the intersectional biopolitical system, and created contingent spaces of ungovernability for the marginalized groups. Building on these discursive analyses and empirical data, I reconceptualize intersectionality as a multi-dimensional-and-directional network to regulate and manage power for social organization and regulation, which grounds the biopolitical basics for the neoliberal economy. Thus I argue that we need to engage with the dynamics between the intersectional biopolitical structure and people's emerging experiences to construct a grounded utopia alternative to the neoliberal dominance for substantive social changes.
ContributorsZhang, Charlie Yi (Author) / Quan, H. L. T. (Thesis advisor) / Fonow, Mary Margaret (Thesis advisor) / Martinez, Jacqueline M. (Committee member) / Lee, Charles T. (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of my dissertation project is to understand how Same-Gender Loving (SGL) Black Christian men negotiate their sexuality and spirituality in spaces that are not always accepting of SGL people, by examining on how Black SGL men perform their sexual identities within hegemonic institutions that often deny their existence or outwardly seek to exclude them from their communities. I have identified three scripts that Black SGL men often follow within Black religious settings. The first script that SGL people often follow in the church is that of deliverance-- confessing their same-gender desires and maintaining that they have been delivered from those desires The second is "don't ask don't tell" performed by men who many believe and suspect of being SGL; so long as they do not publicly affirm these beliefs they are able to hold a variety of positions in their religious communities.. The last script involves accepting one's same-gender desires and also affirming one's Christian beliefs, proclaiming that the two are not at odds with one another. I examine how these scripts and/or others are performed by and on the bodies of Black SGL males in two distinct sites. The first is the career and music of former gospel star Anthony Charles Williams II (Tonex / B. Slade), who has utilized the three scripts at various times in his career. The next site is that of theatre, where I explore how these scripts have been employed in dramatic texts. By reading Christian Black SGL performance through its theological parameters, I aim to discern the avenues in which Black people in the United States are able to perform same-gender sexual identities in spaces that are constructed as "homophobic," and in so doing combat the narrative of hyper-homophobia in Black communities.
ContributorsChester, Tabitha Jamie Mary (Author) / Anderson, Lisa (Thesis advisor) / Leong, Karen J (Committee member) / Honegger, Gitta (Committee member) / Arizona State University (Publisher)
Created2013
Description
Statistics is taught at every level of education, yet teachers often have to assume their students have no knowledge of statistics and start from scratch each time they set out to teach statistics. The motivation for this experimental study comes from interest in exploring educational applications of augmented reality (AR) delivered via mobile technology that could potentially provide rich, contextualized learning for understanding concepts related to statistics education. This study examined the effects of AR experiences for learning basic statistical concepts. Using a 3 x 2 research design, this study compared learning gains of 252 undergraduate and graduate students from a pre- and posttest given before and after interacting with one of three types of augmented reality experiences, a high AR experience (interacting with three dimensional images coupled with movement through a physical space), a low AR experience (interacting with three dimensional images without movement), or no AR experience (two dimensional images without movement). Two levels of collaboration (pairs and no pairs) were also included. Additionally, student perceptions toward collaboration opportunities and engagement were compared across the six treatment conditions. Other demographic information collected included the students' previous statistics experience, as well as their comfort level in using mobile devices. The moderating variables included prior knowledge (high, average, and low) as measured by the student's pretest score. Taking into account prior knowledge, students with low prior knowledge assigned to either high or low AR experience had statistically significant higher learning gains than those assigned to a no AR experience. On the other hand, the results showed no statistical significance between students assigned to work individually versus in pairs. Students assigned to both high and low AR experience perceived a statistically significant higher level of engagement than their no AR counterparts. Students with low prior knowledge benefited the most from the high AR condition in learning gains. Overall, the AR application did well for providing a hands-on experience working with statistical data. Further research on AR and its relationship to spatial cognition, situated learning, high order skill development, performance support, and other classroom applications for learning is still needed.
ContributorsConley, Quincy (Author) / Atkinson, Robert K (Thesis advisor) / Nguyen, Frank (Committee member) / Nelson, Brian C (Committee member) / Arizona State University (Publisher)
Created2013
Description
This study was done in collaboration with the Kino Border Initiative. The Kino Border Initiative is a Catholic, bi-national organization run by Missionary Sisters of the Eucharist, Jesuit priests and lay people. The organization is dedicated to providing services to recently deported migrants and migrants-in-transit through their soup kitchen, women's shelter and first aid station in Nogales, Sonora. Based on their experiences in the women's shelter, the Missionary Sisters of the Eucharist and researcher sought out to further understand migrant women's experiences of gender-based violence prior to migration. Using data collected by the Sisters, it was decided to use an analysis rooted in testimonio, and, in this way, use the women's words as a foundational basis for understanding the migration of women. The analysis is based on 62 testimonies related to women's histories of violence and their migration experiences, and the information from 74 intake questionnaires that were all analyzed retroactively. The analysis of data and testimonios has led to the realization that violence suffered by migrant women is not limited to the journey itself, and that 71% of women report having suffered some sort of violence either prior to or during migration. Often times, the first experiences of violence originated in their homes when they were children and continue to repeat itself throughout their lifetimes in varied forms. Their stories reveal how the decision to migrate is a consequence to the transnational and structural violence that pushes women to seek out ways to survive and provide for their families.
ContributorsConrad, Marla (Author) / Elenes, C. Alejandra (Thesis advisor) / Simmons, William P. (Committee member) / Téllez, Michelle (Committee member) / Arizona State University (Publisher)
Created2013
Description
Dimensionality assessment is an important component of evaluating item response data. Existing approaches to evaluating common assumptions of unidimensionality, such as DIMTEST (Nandakumar & Stout, 1993; Stout, 1987; Stout, Froelich, & Gao, 2001), have been shown to work well under large-scale assessment conditions (e.g., large sample sizes and item pools; see e.g., Froelich & Habing, 2007). It remains to be seen how such procedures perform in the context of small-scale assessments characterized by relatively small sample sizes and/or short tests. The fact that some procedures come with minimum allowable values for characteristics of the data, such as the number of items, may even render them unusable for some small-scale assessments. Other measures designed to assess dimensionality do not come with such limitations and, as such, may perform better under conditions that do not lend themselves to evaluation via statistics that rely on asymptotic theory. The current work aimed to evaluate the performance of one such metric, the standardized generalized dimensionality discrepancy measure (SGDDM; Levy & Svetina, 2011; Levy, Xu, Yel, & Svetina, 2012), under both large- and small-scale testing conditions. A Monte Carlo study was conducted to compare the performance of DIMTEST and the SGDDM statistic in terms of evaluating assumptions of unidimensionality in item response data under a variety of conditions, with an emphasis on the examination of these procedures in small-scale assessments. Similar to previous research, increases in either test length or sample size resulted in increased power. The DIMTEST procedure appeared to be a conservative test of the null hypothesis of unidimensionality. The SGDDM statistic exhibited rejection rates near the nominal rate of .05 under unidimensional conditions, though the reliability of these results may have been less than optimal due to high sampling variability resulting from a relatively limited number of replications. Power values were at or near 1.0 for many of the multidimensional conditions. It was only when the sample size was reduced to N = 100 that the two approaches diverged in performance. Results suggested that both procedures may be appropriate for sample sizes as low as N = 250 and tests as short as J = 12 (SGDDM) or J = 19 (DIMTEST). When used as a diagnostic tool, SGDDM may be appropriate with as few as N = 100 cases combined with J = 12 items. The study was somewhat limited in that it did not include any complex factorial designs, nor were the strength of item discrimination parameters or correlation between factors manipulated. It is recommended that further research be conducted with the inclusion of these factors, as well as an increase in the number of replications when using the SGDDM procedure.
ContributorsReichenberg, Ray E (Author) / Levy, Roy (Thesis advisor) / Thompson, Marilyn S. (Thesis advisor) / Green, Samuel B. (Committee member) / Arizona State University (Publisher)
Created2013