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
The connection between Hollywood costume design and the films of the 007/James Bond franchise, especially in regards to the changing perspective of the “Bond Girl”, is an intricate relationship that has previously been little researched. In the most recent Bond films, in particular, the female characters have become more powerful than the early characters and their roles within the narratives have changed with their characters taking on stronger and more integral roles. This thesis seeks to examine the films of the 007/James Bond franchise and how the rhetoric of the franchise’s costume design affects the representation of femininity and power in regards to the Bond Girls. After an overview of Bond history and costume theory, two films are analyzed as case studies: Dr. No (1962) which marks the beginning of the film franchise and Casino Royale (2006), which marks the more recent turn the films have taken. This thesis examines how the representations of Bond Girls and the use of costume design for their characters have changed over the course of the franchise from the days of Sean Connery to the recent reboot of the franchise with Daniel Craig as 007 James Bond. In addition to an examination of Bond Girl costume design, this thesis considers the role and influence of the costume designers. A designer’s vision of a character is derived from both the writing and the physical features of the actresses before them. Here this thesis considers how the rhetorical choices made by designers have contributed to an understanding of the relationship between femininity and power. Finally it shows how the costumes effect the power of the female characters and how the Bond Girls of today (Casino Royale) compare and/or contrast to Bond Girls of the past (Dr. No). This thesis combines the areas of feminist film theory and costume theory to provide an original rhetorical analysis of the Bond series in relation to costume design and examines the rhetorical statements made by the costume designers in their designs for the characters and how those statements influence the representations of the characters.
ContributorsSeverson, Andrea (Author) / Goggin, Maureen (Thesis advisor) / Ore, Ersula (Committee member) / Lamp, Kathleen (Committee member) / Arizona State University (Publisher)
Created2013
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
Las personas públicas de mujeres fuertes mexicanas generalmente se definen como desafiantes y contrarias a los roles sociales generalmente aceptados de las mujeres sumisas. Dichas personas públicas exigen atención y buscan incluirse en la cultura popular. Sin embargo, cuando se analizan mediante los rubros de la teoría queer, se revelan arquetipos heternormativos. Esta tesis examina cronológicamente la obra de tres cronistas mexicanos de los siglos XX y XXI, Salvador Novo, Carlos Monsiváis y Sara Sefchovich, analizando su retrato de mujeres fuertes que ocupan sitios urbanos públicos en la Ciudad de México. Se investigan los efectos sociales elitistas de las imágenes públicas de mujeres fuertes, revelando restricciones patriarcales de mujeres en espacios públicos y construcciones subsecuentes de personas públicas como exóticas y cosificadas, asimismo facilitando interacciones con una sociedad sumamente masculinista y machista. La falta de agencialidad social real se revela cuando el patriarcado se reafirma, a pesar de la índole disconforme de las mujeres retratadas. Los constructos de familia y de masculinidad exigen la existencia tanto del padre y del esposo ausentes como del hipermacho y de la acompañante mujer sumisa limitada a sitios privados. El retrato de mujeres fuertes en la obra analizada desnaturaliza la imagen de domesticidad, señalando que las mujeres mexicanas salen del hogar para ocupar sitios públicos en la Ciudad de México. Como la normalización del constructo de familia se cuestiona, la teoría queer se utiliza en una manera innovadora para analizar dichos retratos de mujeres fuertes y agencialidad sociopolítica.
ContributorsHolcombe, William Daniel (Author) / Foster, David William (Thesis advisor) / Tompkins, Cynthia (Committee member) / Urioste-Azcorra, Carmen (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
Description
En el siglo XXI nuestra vida se está cruzando constantemente con la tecnología, tanto que algunos declaran que nuestro mundo se ha hecho posthumano, ya que no se puede separar al ser humano de la máquina. Aunque algunos se sientan amenazados por estas tecnologías, otros están abrazando la Red Mundial, aprovechándose de las infinitas oportunidades que ofrece. Uno de estos elementos fundamentales que internet posibilita es la capacidad de comunicarse directamente con otras personas. El blog por ejemplo, o bitácora en español, permite que los usuarios se proyecten a sí mismos o a sus pseudo-identidades, sus pensamientos e ideas a través del texto que escriben en internet. También sus lectores pueden responder a estos autores inmediatamente. Los posts publicados--entradas en una página web--, aunque aparecen cronológicamente, son episodios fragmentados. Pero el blog no se limita a la producción de un texto sino que el autor puede también "jugar" con el cuerpo del texto para añadir hipervínculos y multimedia. Esta forma de escribir está cambiando lo que se considera "válido" como texto, incluso lo que se considera literatura. El objetivo de este trabajo no es estudiar la literatura digital en su totalidad, sino específicamente en algunas obras escritas por mujeres en internet. Si se considera la escritura digital como una forma de arte marginalizada, se podría decir que la escritura realizada por mujeres en internet experimenta una doble-marginalidad debido al hecho de que la literatura de mujeres siempre ha sido marginal al canon. Este estudio tomará un punto de vista transatlántico, incluyendo en el mismo a varias escritoras hispanohablantes de diferentes edades, experiencias y con variados motivos en su trabajo que publican sus obras en internet. Estas autoras incluyen las blogueras Almudena Montero (española) yMaría Amelia López Soliño (española); la periodista ciudadana Yoanis Sánchez (cubana); y la poeta digital/crítica Belén Gache (española-argentina). En esta tesis he explorado y considerado la noción de que el internet sirve como un medio de democratización puesto que, hasta cierto punto, las fronteras de género y nacionalidad desaparecen. Por esta razón, este trabajo va a considerar varias teorías tales como el postmodernismo, las teorías sobre la escritura de mujeres y teorías sobre la democratización de la tecnología para analizar la literatura que se encuentra en la red. Aunque las escritoras analizadas en este proyecto son distintas, y usan la tecnología de maneras diferentes, tienen una misma meta: expresarse libremente y comunicarse directamente con sus lectores al conectarse a internet. Mi hipótesis de trabajo consiste en que estas mujeres escriben de una manera particular--es decir, que no escriben igual a los hombres que escriben en internet--y que la red ofrece una plataforma única a las mujeres: en este espacio ellas son más activas--en oposición a la literatura tradicional-- en cuanto a compartir y publicar su propio trabajo e ideas.
ContributorsByron, Jennifer E. (Author) / Urioste-Azcorra, Carmen (Thesis advisor) / Tompkins, Cynthia (Committee member) / García-Fernández, Carlos Javier (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
Exiting prostitution is a process whereby women gradually leave prostitution after a number of environmental, relational, and cognitive changes have taken place. Most women attempting to leave street prostitution reenter five or more times before successfully exiting, if they are able to at all. Prostitution-exiting programs are designed to alleviate barriers to exiting, but several studies indicate only about 20-25% of participants enrolled in such programs are successful. There is little quantitative knowledge on the prostitution exiting process and current literature lacks a testable theory of exiting. This mixed-methods study defined and operationalized key cognitive processes by applying the Integrative Model of Behavioral Prediction (IMBP) to measure intentions to exit street-level prostitution. Intentions are thought to be a determinant of behavior and hypothesized as a function of attitudes, norms, and efficacy beliefs. The primary research objective was to measure and test a theory-driven hypothesis examining intentions to exit prostitution. To accomplish these aims, interviews were conducted with 16 men and women involved in prostitution to better capture the latent nuances of exiting (e.g., attitudinal changes, normative influence). These data informed the design of a quantitative instrument that was pilot-tested with a group of former prostitutes and reviewed by experts in the field. The quantitative phase focused on validating the instrument and testing the theory in a full latent variable structural equation model with a sample of 160 former and active prostitutes. Ultimately, the theory and instrument developed in this study will lay the foundation to test interventions for street prostituted women. Prior research has only been able to describe, but not explain or predict, the prostitution exiting process. This study fills a gap in literature by providing a quantitative examination of women's intentions to leave prostitution. The results contribute to our understanding of the cognitive changes that occur when a person leaves prostitution, and the validated instrument may be used as an intervention assessment or an exit prediction tool. Success in predicting an individual's passage through the exiting process could have important and far-reaching implications on recidivism policies or interventions for this vulnerable group of women.
ContributorsCimino, Andrea N (Author) / Gerdes, Karen E. (Thesis advisor) / Sun, Fei (Committee member) / Gillmore, Mary R (Committee member) / Arizona State University (Publisher)
Created2013