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IDENTIFICATION OF FACTORS INFLUENCING THE COMMISSION OF BURGLARIES

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Date Issued:
2011
Abstract/Description:
As in many countries, burglary is very important crime in Turkey. Scientific methods and techniques are needed to solve complex burglary cases. This study was completed in the Bursa Police context since they classified many crime data conducive to scientific studies under a project called BEMTAP. The main purpose of this study is to examine the factors influencing the commission of burglaries, using an epid-criminological perspective. While measuring the relative importance of predictor variables on the number of burglaries and on repeated burglaries, two different models were constructed and validated. For the first model of predictors, Hierarchical Multiple Regression Analysis were performed; for the second one, logistic regression was used. The results show that offender factors are more influential than opportunity and environmental factors in explaining the variability in frequency of burglaries committed and the likelihood to commit repeated burglaries. In conclusion, the best way to reduce burglary rate is to focus on offender factors. Dealing with oppportunity and environmental factors would also contribute to a decreased burglary rate.
Title: IDENTIFICATION OF FACTORS INFLUENCING THE COMMISSION OF BURGLARIES.
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Name(s): Donmez, MUSTAFA, Author
Wan, Thomas, Committee Chair
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2011
Publisher: University of Central Florida
Language(s): English
Abstract/Description: As in many countries, burglary is very important crime in Turkey. Scientific methods and techniques are needed to solve complex burglary cases. This study was completed in the Bursa Police context since they classified many crime data conducive to scientific studies under a project called BEMTAP. The main purpose of this study is to examine the factors influencing the commission of burglaries, using an epid-criminological perspective. While measuring the relative importance of predictor variables on the number of burglaries and on repeated burglaries, two different models were constructed and validated. For the first model of predictors, Hierarchical Multiple Regression Analysis were performed; for the second one, logistic regression was used. The results show that offender factors are more influential than opportunity and environmental factors in explaining the variability in frequency of burglaries committed and the likelihood to commit repeated burglaries. In conclusion, the best way to reduce burglary rate is to focus on offender factors. Dealing with oppportunity and environmental factors would also contribute to a decreased burglary rate.
Identifier: CFE0003926 (IID), ucf:48706 (fedora)
Note(s): 2011-08-01
Ph.D.
Graduate Studies, Other
Doctorate
This record was generated from author submitted information.
Subject(s): epicriminology
opportunity factors
opportunity factors
environmental factors
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0003926
Restrictions on Access: campus 2012-07-01
Host Institution: UCF

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