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ABSTRACT Research has shown that the manner in which people are treated in their interactions with agents of the criminal justice system matters. People expect criminal justice officials to treat them fairly and with honesty and respect, which is the basis for procedural justice. When people are treated

ABSTRACT Research has shown that the manner in which people are treated in their interactions with agents of the criminal justice system matters. People expect criminal justice officials to treat them fairly and with honesty and respect, which is the basis for procedural justice. When people are treated in a procedurally just and equitable manner they will view the system as legitimate and will be more likely to voluntarily comply and cooperate with legal system directives. People who have personal or vicarious experiences of unfair or unjust interactions with the legal system tend to view the system as less legitimate and are less likely to comply and cooperate when they have contact with representatives of the system. This study examines a random sample of 337 arrestees in Maricopa County, Arizona who have been interviewed as a part of the Arizona Arrestee Reporting Information Network. Descriptive statistics and regression analysis are used to examine views of the procedural justice experienced by arrestees during arrest, perceptions of police legitimacy by arrestees, voluntary compliance to the law, and voluntary cooperation with police. Results of the study show that perceptions of legitimacy work through procedural justice, and that procedurally just interactions with police mediate racial effects on views of legitimacy. Views of procedural justice and legitimacy increase cooperation. No variables in this study were significantly related to compliance.
ContributorsJorgensen, Cody (Author) / Ready, Justin (Thesis advisor) / White, Michael (Committee member) / Katz, Charles (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Prior research has found links between family environment and criminal outcomes, but research is lacking on why these factors often occur together within families. Parental criminality, family size, and family disruption have been analyzed as risk factors for juvenile delinquency, but their relationships with each other have gone largely unexplored.

Prior research has found links between family environment and criminal outcomes, but research is lacking on why these factors often occur together within families. Parental criminality, family size, and family disruption have been analyzed as risk factors for juvenile delinquency, but their relationships with each other have gone largely unexplored. This thesis explores the relationship between parental criminality, having children, number of children, and patterns of residence with children. Data from the National Longitudinal Survey of Youth '97 are used to associate likelihood of having children, likelihood of having any children out of residence, percent of children in residence, and number of children with arrest prevalence and self-reported offending. Results were generally supportive. Moderate effect sizes were found for likelihood of having children, with large effects on likelihood of having any children out of residence. Moderate effects were found for percentage of children in residence, and large effects were found for number of children.
ContributorsLouton, Brooks (Author) / Sweeten, Gary A (Thesis advisor) / Wang, Xia (Committee member) / Rodriguez, Nancy (Committee member) / Arizona State University (Publisher)
Created2011
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Description
The link between victimization and offending is well established in the literature, yet an unexplored causal pathway within this relationship is concerned with why some individuals engage in maladaptive coping in response to victimization. In particular, those with low self-control may be attracted to problematic yet immediately gratifying forms of

The link between victimization and offending is well established in the literature, yet an unexplored causal pathway within this relationship is concerned with why some individuals engage in maladaptive coping in response to victimization. In particular, those with low self-control may be attracted to problematic yet immediately gratifying forms of coping post-victimization (e.g., substance use), which may increase their likelihood of violent offending in the future. Using three waves of adolescent panel data from the Gang Resistance Education and Training (GREAT) program, this research examines: (1) whether individuals with low-self control are more likely to engage in substance use coping following violent victimization, and (2) whether victims with low self-control who engage in substance use coping are more likely to commit violent offenses in the future. The results from negative binomial regressions support these hypotheses, even after controlling for prior offending, peer influences, prior substance abuse, and other forms of offending. The implications for integrating general strain and self-control theories, as well as for our understanding of the victimization-offending overlap, are discussed.
ContributorsTuranovic, Jillian (Author) / Pratt, Travis C. (Thesis advisor) / Reisig, Michael D (Committee member) / Fornango, Robert J (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Advancements in computer vision and machine learning have added a new dimension to remote sensing applications with the aid of imagery analysis techniques. Applications such as autonomous navigation and terrain classification which make use of image classification techniques are challenging problems and research is still being carried out to find

Advancements in computer vision and machine learning have added a new dimension to remote sensing applications with the aid of imagery analysis techniques. Applications such as autonomous navigation and terrain classification which make use of image classification techniques are challenging problems and research is still being carried out to find better solutions. In this thesis, a novel method is proposed which uses image registration techniques to provide better image classification. This method reduces the error rate of classification by performing image registration of the images with the previously obtained images before performing classification. The motivation behind this is the fact that images that are obtained in the same region which need to be classified will not differ significantly in characteristics. Hence, registration will provide an image that matches closer to the previously obtained image, thus providing better classification. To illustrate that the proposed method works, naïve Bayes and iterative closest point (ICP) algorithms are used for the image classification and registration stages respectively. This implementation was tested extensively in simulation using synthetic images and using a real life data set called the Defense Advanced Research Project Agency (DARPA) Learning Applied to Ground Robots (LAGR) dataset. The results show that the ICP algorithm does help in better classification with Naïve Bayes by reducing the error rate by an average of about 10% in the synthetic data and by about 7% on the actual datasets used.
ContributorsMuralidhar, Ashwini (Author) / Saripalli, Srikanth (Thesis advisor) / Papandreou-Suppappola, Antonia (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2011
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Description
The crime of human trafficking has received increased national attention over the past decade. However, the subject of human trafficking is rarely mentioned in criminal justice and criminology curricula in colleges and universities. This study discusses findings from a review of listed courses in 100 criminology and criminal justice bachelor

The crime of human trafficking has received increased national attention over the past decade. However, the subject of human trafficking is rarely mentioned in criminal justice and criminology curricula in colleges and universities. This study discusses findings from a review of listed courses in 100 criminology and criminal justice bachelor degree programs in colleges and universities in the United States. Implications for further research, including examining criminal justice education programs outside of academe, are discussed. The author advocates adding courses on human trafficking in criminology and criminal justice curricula and makes recommendations for undergraduate criminology and criminal justice education.
ContributorsZhilina, Tatyana (Author) / Stancliff, Michael (Thesis advisor) / Bernat, Francesc (Committee member) / Vaughan, Suzanne (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Though police-involved homicides have generated controversy and caused community disruptions and riots for many years, few efforts to systematically capture and study these events exist. The lack of research on arrest-related deaths (ARDs) is particularly troubling not only because of the consequences of these events, but also because the nature

Though police-involved homicides have generated controversy and caused community disruptions and riots for many years, few efforts to systematically capture and study these events exist. The lack of research on arrest-related deaths (ARDs) is particularly troubling not only because of the consequences of these events, but also because the nature of how these deaths occur may also be changing. In particular, recent attention has shifted away from incidents where police use firearms to incidents where other less-lethal tools are used but death still occurs (e.g., TASERs). In 2000, the Federal Government sought to address this problem through the creation of the Deaths in Custody Reporting Program (DCRP), a national-level voluntary reporting system managed by the Bureau of Justice Statistics. There have been few efforts, however, that have assessed the accuracy and completeness of the DCRP data collection. The current study seeks to accomplish this through a comparison of ARDs in the DCRP to open-source, web-based media reports of ARDs in a stratified, random sample of 12 states during 2005. The study finds that all types of ARDs, not just police-involved homicides, are not accurately and reliably reported. Furthermore, the information provided is not reliably reported or interesting to research initiatives. Improvements in how the data is collected and what type of data is collected are needed. This adds to the scholarly research that advocates for a systematic and reliable national dataset of all deaths that occur in the process of arrest.
ContributorsBorrego, Andrea (Author) / White, Michael D. (Thesis advisor) / Kane, Robert (Committee member) / Fornango, Robert (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Frederic Thrasher's early work with youth gangs in Chicago continues to influence contemporary gang research. Thrasher's basic premise, that conflict with outside groups facilitates strong interpersonal ties between adolescents, has yet to undergo quantitative analysis. Using data from Wave II of the National Longitudinal Study of Adolescent Health ("Add Health"),

Frederic Thrasher's early work with youth gangs in Chicago continues to influence contemporary gang research. Thrasher's basic premise, that conflict with outside groups facilitates strong interpersonal ties between adolescents, has yet to undergo quantitative analysis. Using data from Wave II of the National Longitudinal Study of Adolescent Health ("Add Health"), this conflict is measured by the aggregate number of juvenile arrests for property and violent crimes in a community. Multivariate regression is conducted to explore the impact of police threat on number of friendship nominations, while logistic regression is conducted to see if police threat is impacting relationship strength between respondent's first male and female friend. The results from both the multivariate and logistic regressions do not support Thrasher's hypothesis. Implications for future research are discussed.
ContributorsMoule, Richard K (Author) / Katz, Charles M. (Thesis advisor) / Ready, Justin T. (Committee member) / Pratt, Travis C. (Committee member) / Arizona State University (Publisher)
Created2011
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Description
The literature on hopelessness suggests youth living amid impoverished conditions, social disorganization, and limited resources are more likely to experience increased feelings of hopelessness. Similarly, many of the aforementioned aspects are considered, in some capacity, in the research on gangs. Though a considerable amount of gang literature alludes to the

The literature on hopelessness suggests youth living amid impoverished conditions, social disorganization, and limited resources are more likely to experience increased feelings of hopelessness. Similarly, many of the aforementioned aspects are considered, in some capacity, in the research on gangs. Though a considerable amount of gang literature alludes to the fact that loss of hope may be present, it neither directly addresses it nor references it. This study attempts to converge the present literature on hopelessness among minority youth to minority youth in street gangs. This is done using data obtained from an earlier evaluation of the Mesa Gang Intervention Project, using self-report data from 197 youth, asking questions about socio-demographic information, gang activity, education, employment, crime and delinquency, family and individual crisis, and self-reported detention. Findings implicate a connection exists between gang membership and increased levels of hopelessness. Moreover, results suggest education and self-esteem help to reduce loss of hopelessness.
ContributorsRedner-Vera, Erica N (Author) / Katz, Charles M. (Thesis advisor) / Decker, Scott (Committee member) / Roe-Sepowitz, Dominique (Committee member) / Arizona State University (Publisher)
Created2011
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Description
A perceived link between illegal immigration and crime continues to exist. Citizens continue to believe that immigration creates crime and fear that as the immigrant population grows, their safety is jeopardized. Not much research in the field of criminology, however, has focused on examining this perceived relationship between immigration and

A perceived link between illegal immigration and crime continues to exist. Citizens continue to believe that immigration creates crime and fear that as the immigrant population grows, their safety is jeopardized. Not much research in the field of criminology, however, has focused on examining this perceived relationship between immigration and crime. Those studies which have examined the relationship have mainly relied on official data to conduct their analysis. The purpose of this thesis is to examine the relationship between immigration and crime by examining self report data as well as some official data on immigration status and criminal involvement. More specifically, this thesis examines the relationship between immigration status and four different types of criminal involvement; property crimes, violent crimes, drug sales, and drug use. Data from a sample of 1,990 arrestees in the Maricopa County, Arizona, was used to conduct this analysis. This data was collected through the Arizona Arrestee Reporting Information Network over the course of a year. The results of the logistic regression models indicate that immigrants tend to commit less crime than U.S. citizens. Furthermore, illegal immigrants are significantly less likely than U.S. citizens to commit any of the four types of crimes, with the exception of powder cocaine use.
ContributorsNuño, Lidia E (Author) / Katz, Charles M. (Thesis advisor) / White, Michael D. (Committee member) / Decker, Scott H. (Committee member) / Arizona State University (Publisher)
Created2011
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As robots are increasingly migrating out of factories and research laboratories and into our everyday lives, they should move and act in environments designed for humans. For this reason, the need of anthropomorphic movements is of utmost importance. The objective of this thesis is to solve the inverse kinematics problem

As robots are increasingly migrating out of factories and research laboratories and into our everyday lives, they should move and act in environments designed for humans. For this reason, the need of anthropomorphic movements is of utmost importance. The objective of this thesis is to solve the inverse kinematics problem of redundant robot arms that results to anthropomorphic configurations. The swivel angle of the elbow was used as a human arm motion parameter for the robot arm to mimic. The swivel angle is defined as the rotation angle of the plane defined by the upper and lower arm around a virtual axis that connects the shoulder and wrist joints. Using kinematic data recorded from human subjects during every-day life tasks, the linear sensorimotor transformation model was validated and used to estimate the swivel angle, given the desired end-effector position. Defining the desired swivel angle simplifies the kinematic redundancy of the robot arm. The proposed method was tested with an anthropomorphic redundant robot arm and the computed motion profiles were compared to the ones of the human subjects. This thesis shows that the method computes anthropomorphic configurations for the robot arm, even if the robot arm has different link lengths than the human arm and starts its motion at random configurations.
ContributorsWang, Yuting (Author) / Artemiadis, Panagiotis (Thesis advisor) / Mignolet, Marc (Committee member) / Santos, Veronica J (Committee member) / Arizona State University (Publisher)
Created2013