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
Research examining the long-term impacts of federal interventions under the Civil Rights of Institutionalized Persons Act on correctional institutions has been scant. The result has been a failure to understand the sustainability of reforms aimed at protecting the civil rights of confined persons. This dissertation examined the long-term reforms at the Arizona Department of Juvenile Corrections following a consent decree with the U.S. Department of Justice from 2004 to 2007. Interviews were conducted with current and former ADJC employees, juvenile justice advocates across Arizona, and county court representatives to determine how each of these groups perceived the status of the reforms at the ADJC. The findings of the current dissertation suggest that long-term reforms following consent decrees imposed on correctional institutions are possible. At the ADJC, the methods for securing the reform required that the agency reform its culture, implement a Quality Assurance process, revamp the Investigations and Inspections unit at the agency, and consider the perspectives of external agencies. One of the primary reasons why the department has been committed to making these reforms is because of the perceived loss of legitimacy and resources that would occur if they failed to reform. Such a failure for the agency could have potentially resulted in a closure of the agency. However, the increase in punitive and preventive policies used to enforce the reforms may have negative repercussions on the organizational culture in the long term. Policy implications for future CRIPA consent decrees are outlined, limitations are addressed, and suggestions for future research are made.
ContributorsTaylor, Melanie Ann (Author) / Decker, Scott H. (Thesis advisor) / Katz, Charles M. (Committee member) / Fox, Kathleen (Committee member) / Arizona State University (Publisher)
Created2013
Description
Knowing that disorder is related to crime, it has become essential for criminologists to understand how and why certain individuals perceive disorder. Using data from the Perceptions of Neighborhood Disorder and Interpersonal Conflict Project, this study uses a fixed photograph of a neighborhood, to assess whether individuals "see" disorder cues. A final sample size of n=815 respondents were asked to indicate if they saw particular disorder cues in the photograph. The results show that certain personal characteristics do predict whether an individual sees disorder. Because of the experimental design, results are a product of the individual's personal characteristics, not of the respondent's neighborhood. These findings suggest that the perception of disorder is not as clear cut as once thought. Future research should explore what about these personal characteristics foster the perception of disorder when it is not present, as well as, how to fight disorder in neighborhoods when perception plays such a substantial role.
ContributorsScott, Christopher (Author) / Wallace, Danielle (Thesis advisor) / Katz, Charles (Committee member) / Ready, Justin (Committee member) / Arizona State University (Publisher)
Created2013
Description
Sparsity has become an important modeling tool in areas such as genetics, signal and audio processing, medical image processing, etc. Via the penalization of l-1 norm based regularization, the structured sparse learning algorithms can produce highly accurate models while imposing various predefined structures on the data, such as feature groups or graphs. In this thesis, I first propose to solve a sparse learning model with a general group structure, where the predefined groups may overlap with each other. Then, I present three real world applications which can benefit from the group structured sparse learning technique. In the first application, I study the Alzheimer's Disease diagnosis problem using multi-modality neuroimaging data. In this dataset, not every subject has all data sources available, exhibiting an unique and challenging block-wise missing pattern. In the second application, I study the automatic annotation and retrieval of fruit-fly gene expression pattern images. Combined with the spatial information, sparse learning techniques can be used to construct effective representation of the expression images. In the third application, I present a new computational approach to annotate developmental stage for Drosophila embryos in the gene expression images. In addition, it provides a stage score that enables one to more finely annotate each embryo so that they are divided into early and late periods of development within standard stage demarcations. Stage scores help us to illuminate global gene activities and changes much better, and more refined stage annotations improve our ability to better interpret results when expression pattern matches are discovered between genes.
ContributorsYuan, Lei (Author) / Ye, Jieping (Thesis advisor) / Wang, Yalin (Committee member) / Xue, Guoliang (Committee member) / Kumar, Sudhir (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
ABSTRACT Research on self-control theory (Gottfredson & Hirschi, 1990) consistently supports its' central proposition that low self-control significantly affects crime. The theory includes other predictions, which have received far less empirical scrutiny. Among these is the argument that self-control is developed early in childhood and that individual differences then persist over time. Gottfredson and Hirschi contend that once established by age ten, self-control remains relatively stable over one's life-course (stability postulate). To determine the empirical status of Gottfredson and Hirschi's "stability postulate," a meta-analysis on existing empirical studies was conducted. Results for this study support the contentions made by Gottfredson and Hirschi, however the inclusion of various moderating variables significantly influenced this relationship. Keywords: self-control, self-control stability, absolute stability, relative stability
ContributorsMeyers, Travis J (Author) / Pratt, Travis (Thesis advisor) / Burt, Callie (Committee member) / Wright, Kevin (Committee member) / Arizona State University (Publisher)
Created2013
Description
A void exists in public administration, criminology, and criminal justice research as it relates to the study of power in American policing agencies. This has significant ramifications for academia and practitioners in terms of how they view, address, study, and interpret behaviors/actions in American policing agencies and organizations in general. In brief, mainstream research on power in organizations does not take into account relationships of power that do not act directly, and immediately, on others. By placing its emphasis on an agency centric perspective of power, the mainstream approach to the study of power fails to recognize indirect power relationships that influence discourse, pedagogy, mechanisms of communication, knowledge, and individual behavior/actions. In support of a more holistic inquiry, this study incorporates a Foucauldian perspective of power along with an ethnographical methodology and methods to build a greater understanding of power in policing organizations. This ethnography of an American policing organization illuminates the relationship between the exercise of power and the objectification of the subject through the interplay of relationships of communication, goal oriented activities, and relationships of power. Specifically, the findings demonstrate that sworn officers and civilian employees are objectified distinctly and dissimilarly. In summary, this study argues that the exercise of power in this American policing organization objectifies the civilian employee as a second class citizen.
ContributorsBentley, Paul C (Author) / Catlaw, Thomas (Thesis advisor) / Musheno, Michael (Committee member) / Lucio, Joanna (Committee member) / Arizona State University (Publisher)
Created2013
Description
There has been a tremendous amount of innovation in policing over the last 40 years, from community and problem-oriented policing to hot spots and intelligence-led policing. Many of these innovations have been subjected to empirical testing, with mixed results on effectiveness. The latest innovation in policing is the Bureau of Justice Assistance's Smart Policing Initiative (2009). Created in 2009, the SPI provides funding to law enforcement agencies to develop and test evidence-based practices to address crime and disorder. Researchers have not yet tested the impact of the SPI on the funded agencies, particularly with regard to core principles of the Initiative. The most notable of these is the collaboration between law enforcement agencies and their research partners. The current study surveyed SPI agencies and their research partners on key aspects of their Initiative. The current study uses mean score comparisons and qualitative responses to evaluate this partnership to determine the extent of its value and effect. It also seeks to determine the areas of police agency crime analysis and research units that are most in need of enhancement. Findings indicate that the research partners are actively involved in a range of aspects involved in problem solving under the Smart Policing Initiative, and that they have positively influenced police agencies' research and crime analysis functions, and to a lesser extent, have positively impacted police agencies' tactical operations. Additionally, personnel, technology, and training were found to be the main areas of the crime analysis and research units that still need to be enhanced. The thesis concludes with a discussion of the implications of these findings for police policy and practice.
ContributorsMartin-Roethele, Chelsie (Author) / White, Michael D. (Thesis advisor) / Ready, Justin (Committee member) / D'Anna, Matthew (Committee member) / Arizona State University (Publisher)
Created2013
Description
Criminologists have directed significant theoretical and empirical attention toward the institution of marriage over the past two decades. Importantly, the momentum guiding this line of research has increased despite the fact that people are getting married far less often and much later in the life course than in any point in American history. The aim of this dissertation is to address this disconnect by focusing attention to nonmarital romantic relationships and their instability during emerging adulthood. To do so, it uses data from the Pathways to Desistance Study, a longitudinal study of 1,354 at-risk males and females who were adjudicated from the juvenile and adult systems in Phoenix and Philadelphia between 2000 and 2003. The project focuses attention to the following issues: (1) the effect of romantic dissolution on aggressive and income-based offenses; (2) the extent to which strain
egative emotionality and peer influence/exposure account for the effect of romantic dissolution on crime; and (3) the extent to which certain relationship and individual circumstances moderate the effect of romantic dissolution. The models reveal a few key findings. First, romantic dissolution is strongly related to an increase in both aggressive and income-based crime, but is more strongly related to income-based crime. Second, the effect of romantic dissolution is reduced when measures of strain
egative emotionality and peer influence/exposure measures are added to models, but the peer influence/exposure measures account for the strongest reduction. Finally, romantic dissolution does not serve as a positive life event among these at-risk youth, but its effect is exacerbated under a number of contexts (e.g. when an individual is unemployed). This study closes with a summary of these findings as well as its key limitations, and offers insight into potential policy implications and avenues of future research.
egative emotionality and peer influence/exposure account for the effect of romantic dissolution on crime; and (3) the extent to which certain relationship and individual circumstances moderate the effect of romantic dissolution. The models reveal a few key findings. First, romantic dissolution is strongly related to an increase in both aggressive and income-based crime, but is more strongly related to income-based crime. Second, the effect of romantic dissolution is reduced when measures of strain
egative emotionality and peer influence/exposure measures are added to models, but the peer influence/exposure measures account for the strongest reduction. Finally, romantic dissolution does not serve as a positive life event among these at-risk youth, but its effect is exacerbated under a number of contexts (e.g. when an individual is unemployed). This study closes with a summary of these findings as well as its key limitations, and offers insight into potential policy implications and avenues of future research.
ContributorsLarson, Matthew Joseph (Author) / Sweeten, Gary (Thesis advisor) / Piquero, Alex (Committee member) / Spohn, Cassia (Committee member) / Wallace, Danielle (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of this preliminary study is to determine if sentencing disparities exist between male and female teachers who have been convicted of sexual misconduct with a student in Maricopa County, Arizona over a ten-year period. The hypothesis is that male teachers convicted of sexual misconduct with a student will receive harsher punishment than their female counterparts. In addition, this research will analyze the sentencing decisions of Arizona judges and prosecutors through plea-bargaining when compared with the presumptive sentence set by the Arizona Legislature. Issues that will be addressed include: a brief review of gender disparities in sentencing, sex offender sentencing, Arizona's rules of criminal procedure, and a review of the Arizona Revised Statutes pertaining to sexual crimes as well as the Arizona Supreme Court sentencing guidelines. The data set consists of fifteen different Maricopa County teachers who committed a sexual offense against a student and were convicted of that offense from February 2000 through September 2009. According to the results of this study, male teachers do receive harsher penalties than their female counterparts within Maricopa County.
ContributorsSimmon, Christopher (Author) / Holtfreter, Kristy (Thesis advisor) / Wright, Kevin (Committee member) / Spohn, Cassia (Committee member) / Arizona State University (Publisher)
Created2012
Description
Image understanding has been playing an increasingly crucial role in vision applications. Sparse models form an important component in image understanding, since the statistics of natural images reveal the presence of sparse structure. Sparse methods lead to parsimonious models, in addition to being efficient for large scale learning. In sparse modeling, data is represented as a sparse linear combination of atoms from a "dictionary" matrix. This dissertation focuses on understanding different aspects of sparse learning, thereby enhancing the use of sparse methods by incorporating tools from machine learning. With the growing need to adapt models for large scale data, it is important to design dictionaries that can model the entire data space and not just the samples considered. By exploiting the relation of dictionary learning to 1-D subspace clustering, a multilevel dictionary learning algorithm is developed, and it is shown to outperform conventional sparse models in compressed recovery, and image denoising. Theoretical aspects of learning such as algorithmic stability and generalization are considered, and ensemble learning is incorporated for effective large scale learning. In addition to building strategies for efficiently implementing 1-D subspace clustering, a discriminative clustering approach is designed to estimate the unknown mixing process in blind source separation. By exploiting the non-linear relation between the image descriptors, and allowing the use of multiple features, sparse methods can be made more effective in recognition problems. The idea of multiple kernel sparse representations is developed, and algorithms for learning dictionaries in the feature space are presented. Using object recognition experiments on standard datasets it is shown that the proposed approaches outperform other sparse coding-based recognition frameworks. Furthermore, a segmentation technique based on multiple kernel sparse representations is developed, and successfully applied for automated brain tumor identification. Using sparse codes to define the relation between data samples can lead to a more robust graph embedding for unsupervised clustering. By performing discriminative embedding using sparse coding-based graphs, an algorithm for measuring the glomerular number in kidney MRI images is developed. Finally, approaches to build dictionaries for local sparse coding of image descriptors are presented, and applied to object recognition and image retrieval.
ContributorsJayaraman Thiagarajan, Jayaraman (Author) / Spanias, Andreas (Thesis advisor) / Frakes, David (Committee member) / Tepedelenlioğlu, Cihan (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2013