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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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.
Addressing this gap in the literature, this study provides the first rigorous empirical examination of the inmate-level characteristics that influence punishment outcome following guilty institutional misconduct proceedings. Guided by criminal sentencing literature, the inmate- level characteristics are divided into groups of legal factors, quasi-legal factors, and extra-legal factors. Representing a significant advancement beyond prior research, this study operationalizes punishment outcome in two ways – as an interval-level ordered sanction severity scale and as individual punishment categories. A series of multivariate models with sample selection corrections are estimated to model the direct and interactive effects of the legal, quasi-legal, and extra-legal inmate characteristics on punishment outcome.
Results of the fully-saturated direct effects models reveal a consistent pattern across both operationalizations of the punishment outcome. The legal factor of misconduct offense and the prosocial behavior quasi-legal factors of working a prison job and program involvement are significantly related to punishment outcomes. The quasi-legal factor representing criminogenic risk and the extra-legal factors of inmate gender and race/ethnicity are not significantly related to punishment outcomes. When the direct effects models re-estimated on samples split by inmate gender and race/ethnicity, however, the extra-legal factors of gender and race/ethnicity condition the effects of some of the legal and quasi-legal factors on punishment outcome. Results of this study suggest that, holding constant the effect of legal misconduct-related factors, disparities exist in post-disciplinary sanctioning based on inmate race/ethnicity and gender.
I investigate whether American Indian defendants experience cumulative disadvantages at multiple decision points, disadvantage over time, and the effect of social context on drawing on American Indian disadvantage, the focal concerns and minority threat perspectives. The focal concerns perspective is used to develop hypotheses about how American Indian defendants will receive harsher punishments at multiple decision points. I also use this perspective to predict that American Indian disadvantages will increase over time. Lastly, I examine social context and its effect on punishment decisions for American Indians using the minority threat perspective. I hypothesize that social context impacts how American Indian defendants are sentenced at the federal level.
Data come from the Federal Justice Statistics Program Data Series, the US Census, and the Uniform Crime Report, with a focus on data gathered from the Administrative Office of the United States Courts and the United States Sentencing Commission. A range of modeling strategies are used to test the hypotheses including multinomial logistic regression, ordinary least squares regression, and multilevel modeling.
The results suggest that cumulative disadvantages against American Indian defendants is pronounced, American Indian disparity over time is significant for certain outcomes, and social context plays a limited role in American Indian sentencing disadvantage.
Data come from the Federal Justice Statistics Program Data Series, the U.S. Census, the Uniform Crime Reports, Leip’s Atlas of U.S. Presidential Elections, the National Judicial Center, and the U.S. Department of Justice. The quantitative analysis addresses the first question by employing a cumulative disadvantage approach where multiple decision points are considered and the effects of prior stages on subsequent outcomes. The quantitative analysis proceeds to address the second question by using multilevel modeling for multiple court outcomes. The longitudinal analysis is separately conducted on sentence length for 18-year data, from 1994 through 2012, to assess racial and ethnic disparity over time.
The results indicate that cumulative disadvantage is present within immigration cases, that social context influences certain decision points, and that ethnic disparity has diminished over time in some districts.