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.
Displaying 1 - 10 of 271
Filtering by
- All Subjects: Statistics
- All Subjects: Social Work
Description
This research examined successful aging in a convenience sample of 14 women in Phoenix, Arizona. The study used a mixed methods approach involving individual interviews and administration of a standardized instrument designed to measure success using an alternative construct, gerotranscendence. Explorative questions were designed to gather data regarding diverse women's lived experiences. In order to examine the impact of lived experiences on successful aging, demographics were collected and participants were administered the gerotranscendence scale further revised. Findings reveal that when success is conceptualized using gerotranscendence theory, women of color may still appear less successful than their white counterparts. Narratives yielded rich data regarding the influence of factors such as care giving and violated expectations. This research helps to expand the knowledge base on factors that impact successful aging of diverse women. This research contributes to the field of social work by providing insight into the complex factors that impact diverse woman, which may aid in the empowerment of social workers to advocate for more effective macro interventions for diverse older women.
ContributorsRansom, Nicole (Author) / Bonifas, Robin (Thesis advisor) / Anthony, Elizabeth (Committee member) / Gustavson, Kristen (Committee member) / Arizona State University (Publisher)
Created2013
Description
Communication skills within dating contexts are developed during the adolescent years, and are associated with a lifelong ability to have satisfying, enduring, and non-violent partnerships. As such, they are currently and increasingly implemented into both more general forms of healthy relationship education, as well as that targeting the prevention of teen dating violence specifically. Reaching Mexican American youth with culturally and developmentally appropriate relationship education, including communication skills, may be particularly important given their earlier transitions to marital and parenting relationships, acculturative stressors that present them with unique coupling challenges, and their higher rates of teen dating violence as compared to European American youth. We know very little about how Mexican American dating couples communicate about areas of conflict. This dissertation research utilizes Bell and Naugle's (2008) framework of interpersonal violence to explore how cultural and developmental considerations may be integrated in order to better understand how communication behaviors contribute to Mexican American middle adolescents' experiences with dating conflict. I use an observational study design in order to 1.) Qualitatively explore the communication strategies used by a sample of committed couples, including integration of culturally- and developmentally-relevant contexts, 2.) Quantitatively examine whether couple-level discrepancies in acculturation are associated with observed negativity, including whether this relationship may be mediated by dissimilar gender-related beliefs, and to 3.) Review empirical findings pertaining to the communication behaviors of Mexican American adolescents and to integrate ecodevelopmental theory in said framework as informed by Papers 1, 2, and literature specific to this topic area. The ultimate aim of this dissertation research is to generate findings that may improve the dating health of Mexican American adolescents living in the United States.
ContributorsAdams, Heidi (Author) / Rankin Williams, Lela (Thesis advisor) / Marsiglia, Flavio (Committee member) / Anthony, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2013
Description
This study explores the ways in which LGBTQ young adults describe the aspects of their identities, and how those identities shape their service needs and experiences. A participatory action research component was explored as a research and service approach that is sensitive to LGBTQ young people living at the intersections of multiple identities. Although it is understood that LGBTQ young people come from a variety of backgrounds, research is limited in its understanding and exploration of how aspects of identity, such as race and class, influence the lives and service needs of this population. The data was collected through an initial set of interviews with fifteen LGBTQ-identified young adults ages 18 to 24. The interviewees were recruited from an LGBTQ youth-serving organization using a purposive sampling approach to reflect racial/ethnic and gender identity diversity. Following the interviews, eight of the participants engaged as co-researchers on a participatory action research (PAR) team for sixteen weeks. The process of this team's work was assessed through a reflective analysis to identify factors that impacted the participants' lives. Analysis of the interviews identified key themes related to identity among the LGBTQ young people. The interviewees experienced a multiplicity of identities that were both socially and individually constructed. These identities were impacted by their immediate and social environments. The young people also identified ways that they used their identities to influence their environments and enhance their own resilience. The service experiences and needs of the LGBTQ young people in this study were directly influenced by their multiple identities. Implications for intersectional approaches to serving this population are explored. Analysis of the PAR process identified four areas in which the young people were most impacted through their work and interactions with one another: relationships, communication, participation, and inclusion. Implications for research and service approaches with LGBTQ young people are discussed.
ContributorsWagaman, M. Alex (Author) / Segal, Elizabeth A. (Thesis advisor) / Adelman, Madelaine (Committee member) / Ayón, Cecilia (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
Description
This thesis is a qualitative research study that focuses on siblings of children with Autistic Spectrum Disorder (ASD). Even though it is expected that having a child with ASD in the family will influence the whole family including siblings of the child with ASD, the sibling population is rarely included in research related to children with ASD, and there is only limited services available for them. This exploratory study (n=6) is aimed at better understanding the siblings' lives in their family settings in order to identify the siblings' unmet needs and determine how they have been influenced by the child with ASD. This study is also aimed at identifying the most appropriate support for the siblings to help them cope better. The study followed the Resiliency Model of Family Stress, Adjustment, and Adaptation and a narrative theory approach. An in-depth interview with the parents was conducted for the study, so the findings reflect the parents' perception of the siblings. All the themes emerged into two categories: life in the family setting and supports. The findings indicate that the families are striving for balance between the siblings and the children with ASD, but still tend to focus more on the children with ASD. Also, the families tend to have autonomous personal support systems. The parents tend to perceive that these personal support systems are good enough for the siblings; therefore, the parents do not feel that formal support for the siblings was necessary. As a result of the findings, recommendations are made for the organizations that work with individuals with ASD to provide more appropriate services for the families of children with ASD, including siblings. Also, recommendations are made for future studies to clarify more factors related to the siblings due to the limitation of this study; the siblings' lives were reflected vicariously via the parents.
ContributorsJeong, Seong Hae (Author) / Marsiglia, Flavio F (Thesis advisor) / Ayers, Stephanie (Committee member) / Adams, James (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 aimed to fill the gap in research with regards to how individuals who define themselves as LGBT (lesbian, gay, bisexual, and transgendered) and devoutly religious (either currently or in the past) manage the interaction between these two conflicting identities. The researchers conducted 8 semi-structured qualitative interviews to examine how these individuals manage this conflict and what affects these individuals experience internally and externally. To analyze the interviews, researchers used an open coding method to determine the common themes amongst the participants. Results indicated that these participants traveled a similar path when attempting to manage the conflict between their religion and sexuality and similar internal and external affects were experienced amongst the participants.
ContributorsWheeler, Heather (Author) / Gerdes, Karen (Thesis advisor) / Klimek, Barbara (Committee member) / Segal, Elizabeth (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