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The salience of social disorganization and criminal opportunity theories in explaining chronic violent crime places

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TitleInfo
Title
The salience of social disorganization and criminal opportunity theories in explaining chronic violent crime places
SubTitle
a case-control study in Newark, New Jersey
Name (type = personal)
NamePart (type = family)
Grossman
NamePart (type = given)
Leigh S.
NamePart (type = date)
1986-
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Leigh S. Grossman
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Braga
NamePart (type = given)
Anthony
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Anthony Braga
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Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Clarke
NamePart (type = given)
Ronald
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Ronald Clarke
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Apel
NamePart (type = given)
Robert
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Robert Apel
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Piza
NamePart (type = given)
Eric
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Eric Piza
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
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school
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Text
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theses
OriginInfo
DateCreated (qualifier = exact)
2016
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2016-05
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2016
Place
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xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Most criminological research on the uneven distribution of crime across cities applies social disorganization concepts, such as collective efficacy or crime opportunity concepts, such as guardianship, to understand underlying risk factors associated with high-activity crime places. A recent longitudinal study of street segments examined why certain places experienced disproportionate amounts of crime (Weisburd, Groff, and Yang, 2012). This study analyzed readily-accessible data on varying characteristics of street segments and found support for both crime opportunity and social disorganization features. Some observers questioned whether the variables used in the study could be used to distinguish key theoretical concepts, such as the place-level application of informal social control mechanisms, in crime opportunity and social disorganization theories (see Braga and Clarke, 2014). This dissertation research seeks to apply more robust crime opportunity and social disorganization measures at street segments in Newark, New Jersey. This research was designed to use refined measures of collective efficacy and local guardianship to shed light on criminogenic dynamics associated with persistently violent street segments. Group-based trajectory models were used to identify street segments with stable concentrations of street violence between 2008 and 2013. A matched case-control design was then used to determine whether any statistically significant differences in a range of situational and other factors existed at the most violent segments relative to the least violent segments. A logistic regression model was used to identify statistically significant differences between the case and control streets on variables that represented key concepts from criminal opportunity and social disorganization theories. The analyses revealed many opportunity variables, such as particular local guardianship measures, were statistically significant predictors of whether street segments had persistent violent crime problems. In contrast, none of the local collective efficacy measures were statistically significant. From a theoretical perspective, this research suggests that informal social control at very small violent crime places may best be conceptualized in terms of local guardianship dynamics common to opportunity theories, rather than collective efficacy measures common to social disorganization theories. From a practical perspective, this dissertation research suggests situational measures that increase local guardianship may be productive in controlling violence in small places.
Subject (authority = RUETD)
Topic
Criminal Justice
Subject (authority = ETD-LCSH)
Topic
Violent crimes--New Jersey--Newark
Subject (authority = ETD-LCSH)
Topic
Criminal behavior
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_7304
PhysicalDescription
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (xi, 194 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Leigh S. Grossman
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3WS8WG5
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Grossman
GivenName
Leigh
MiddleName
S.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-04-20 15:11:22
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Name
Leigh Grossman
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
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Type
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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