Examining What Makes Violent Crime Victims Unique: Extending Statistical Methods for Studying Specialization to the Analysis of Crime Victims

Christopher J. Schreck, Graham C. Ousey, Bonnie S. Fisher, Pamela Wilcox

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Objectives: Much victimization research focuses on specific types of crime victims, which implies that the factors responsible for some victimization outcomes are distinct from others. Recent developments in victimization theory, however, take a more general approach, postulating that victimization regardless of type will share a similar basic etiology. This research examines how and whether the risk factors that are associated with violent victimization significantly differ from those that predict nonviolent victimization. Methods: Using data from 3,682 Kentucky youth, we employ Osgood and Schreck's (2007) Item Response Theory-based statistical approach for detecting specialization to determine the properties and predictors of tendencies for individuals to fall victim to specific types of crime. Results: Findings show that victims typically experience varied outcomes, but some victims have a clear tendency toward violent victimization and that it is possible to predict this tendency. Conclusions: The findings indicate that a more nuanced general approach, one that accounts for tendencies toward specific victimization outcomes, might add insight about the causes of victimization. This research also shows how statistical methods designed to examine offense specialization can add value for research on victimization.

Original languageEnglish (US)
Pages (from-to)651-671
Number of pages21
JournalJournal of Quantitative Criminology
Volume28
Issue number4
DOIs
StatePublished - Dec 1 2012

Fingerprint

Crime Victims
violent crime
statistical method
victimization
specialization
offense
Research
research focus
etiology
Crime

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Law

Cite this

@article{f0d2f8701742433ab823cd878bff8dca,
title = "Examining What Makes Violent Crime Victims Unique: Extending Statistical Methods for Studying Specialization to the Analysis of Crime Victims",
abstract = "Objectives: Much victimization research focuses on specific types of crime victims, which implies that the factors responsible for some victimization outcomes are distinct from others. Recent developments in victimization theory, however, take a more general approach, postulating that victimization regardless of type will share a similar basic etiology. This research examines how and whether the risk factors that are associated with violent victimization significantly differ from those that predict nonviolent victimization. Methods: Using data from 3,682 Kentucky youth, we employ Osgood and Schreck's (2007) Item Response Theory-based statistical approach for detecting specialization to determine the properties and predictors of tendencies for individuals to fall victim to specific types of crime. Results: Findings show that victims typically experience varied outcomes, but some victims have a clear tendency toward violent victimization and that it is possible to predict this tendency. Conclusions: The findings indicate that a more nuanced general approach, one that accounts for tendencies toward specific victimization outcomes, might add insight about the causes of victimization. This research also shows how statistical methods designed to examine offense specialization can add value for research on victimization.",
author = "Schreck, {Christopher J.} and Ousey, {Graham C.} and Fisher, {Bonnie S.} and Pamela Wilcox",
year = "2012",
month = "12",
day = "1",
doi = "10.1007/s10940-012-9165-y",
language = "English (US)",
volume = "28",
pages = "651--671",
journal = "Journal of Quantitative Criminology",
issn = "0748-4518",
publisher = "Springer New York",
number = "4",

}

Examining What Makes Violent Crime Victims Unique : Extending Statistical Methods for Studying Specialization to the Analysis of Crime Victims. / Schreck, Christopher J.; Ousey, Graham C.; Fisher, Bonnie S.; Wilcox, Pamela.

In: Journal of Quantitative Criminology, Vol. 28, No. 4, 01.12.2012, p. 651-671.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Examining What Makes Violent Crime Victims Unique

T2 - Extending Statistical Methods for Studying Specialization to the Analysis of Crime Victims

AU - Schreck, Christopher J.

AU - Ousey, Graham C.

AU - Fisher, Bonnie S.

AU - Wilcox, Pamela

PY - 2012/12/1

Y1 - 2012/12/1

N2 - Objectives: Much victimization research focuses on specific types of crime victims, which implies that the factors responsible for some victimization outcomes are distinct from others. Recent developments in victimization theory, however, take a more general approach, postulating that victimization regardless of type will share a similar basic etiology. This research examines how and whether the risk factors that are associated with violent victimization significantly differ from those that predict nonviolent victimization. Methods: Using data from 3,682 Kentucky youth, we employ Osgood and Schreck's (2007) Item Response Theory-based statistical approach for detecting specialization to determine the properties and predictors of tendencies for individuals to fall victim to specific types of crime. Results: Findings show that victims typically experience varied outcomes, but some victims have a clear tendency toward violent victimization and that it is possible to predict this tendency. Conclusions: The findings indicate that a more nuanced general approach, one that accounts for tendencies toward specific victimization outcomes, might add insight about the causes of victimization. This research also shows how statistical methods designed to examine offense specialization can add value for research on victimization.

AB - Objectives: Much victimization research focuses on specific types of crime victims, which implies that the factors responsible for some victimization outcomes are distinct from others. Recent developments in victimization theory, however, take a more general approach, postulating that victimization regardless of type will share a similar basic etiology. This research examines how and whether the risk factors that are associated with violent victimization significantly differ from those that predict nonviolent victimization. Methods: Using data from 3,682 Kentucky youth, we employ Osgood and Schreck's (2007) Item Response Theory-based statistical approach for detecting specialization to determine the properties and predictors of tendencies for individuals to fall victim to specific types of crime. Results: Findings show that victims typically experience varied outcomes, but some victims have a clear tendency toward violent victimization and that it is possible to predict this tendency. Conclusions: The findings indicate that a more nuanced general approach, one that accounts for tendencies toward specific victimization outcomes, might add insight about the causes of victimization. This research also shows how statistical methods designed to examine offense specialization can add value for research on victimization.

UR - http://www.scopus.com/inward/record.url?scp=84868458894&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868458894&partnerID=8YFLogxK

U2 - 10.1007/s10940-012-9165-y

DO - 10.1007/s10940-012-9165-y

M3 - Article

AN - SCOPUS:84868458894

VL - 28

SP - 651

EP - 671

JO - Journal of Quantitative Criminology

JF - Journal of Quantitative Criminology

SN - 0748-4518

IS - 4

ER -