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An Integrated Theoretical Model Explanation for Residential Burglary through Ordinary Least Squares Multivariate Regression in Dallas, Texas.

Sinnott, Adam David and Smith, 'Shawn and Van Patten, Dr. Isaac and Santos, Rachel (2020) An Integrated Theoretical Model Explanation for Residential Burglary through Ordinary Least Squares Multivariate Regression in Dallas, Texas. Masters thesis, Radford Univesity.

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Abstract

ABSTRACT The following thesis was heavily structured around a theoretical framework which combined operationalized variables from opportunity and social disorganization theories to create an integrated theoretical model, in attempts to better explain residential burglary of single-family households, rather than a theoretical model comprised of variables derived from a singular theory. Through a unique methodology and analytic strategy that had not been performed in prior, existing research, three variables representing each theory were combined and ran through several ordinary least squares, multivariate regression analyses to explain residential burglary in Dallas, Texas. Data was obtained from Dallas City Open Data and included all Dallas City Police Department incident reports of single-family home burglaries in 2016, which totaled to 4,212 geocoded incidents. The unit of analysis was at a block group level and included 713 block groups which experienced a burglary. Operationalized explanatory variables derived from the two theories included housing tenure, poverty, racial heterogeneity, housing density, the proximity of access highway, and the proximity of prior burglary. A final variable accounting for burglary lag was also created, after confirming and controlling for spatial autocorrelation. Results primarily provided support for existing literature discussing social disorganization theory while contributing to future research and the potential for replication using a similar methodology. Though, limited support was found for opportunity theory by way of proximity of prior burglary variable. Several limitations are noted, and suggestions for future research and replication are included. Adam David Sinnott, M.A. Department of Criminal Justice, 2020 Radford University

Item Type: Thesis (Masters)
Additional Information: Thesis defense passed 04/03/2020 and signed defense form submitted to Graduate College. Final signed thesis submitted as PDF
Uncontrolled Keywords: Crime Analysis, Spatial Autocorrelation, Residential Burglary, Dallas Texas, Ordinary Least Squares Multivariate Regression, Poverty, Residential Instability, Housing Density, Near Repeat, Prior Burglary, Access Highway, Racial Heterogeneity, Opportunity Theory, Social Disorganization Theory, Integrated Theory, Integrated Model, Housing Tenure
Subjects: H Social Sciences > H Social Sciences (General)
J Political Science > JA Political science (General)
K Law > K Law (General)
Divisions: UNSPECIFIED
Depositing User: Adam David Sinnott
Date Deposited: 02 Sep 2021 11:16
Last Modified: 02 Sep 2021 11:16
URI: http://wagner.radford.edu/id/eprint/585

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