Predicting offender characteristics in serial house burglaries based on <i>modus operandi</i>
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- Haginoya Shumpei
- Forensic Sci. Lab., Tochigi Pref. Police H.Q.
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- Hanayama Aiko
- Scientific Invest. Lab., Aomori Pref. Police H.Q.
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- Ono Shuichi
- National Research Institute of Police Science
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- Gamo Shinsuke
- Forensic Sci. Lab., Ehime Pref. Police H.Q.
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- Maehira Ryota
- Criminal Invest. Lab., Okinawa Pref. Police H.Q.
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- Hosokawa Toyoharu
- Forensic Sci. Lab., Shizuoka Pref. Police H.Q.
Bibliographic Information
- Other Title
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- 住居対象連続侵入窃盗事件における犯人属性の犯罪手口による予測
- ジュウキョ タイショウ レンゾク シンニュウ セットウ ジケン ニ オケル ハンニン ゾクセイ ノ ハンザイ テグチ ニ ヨル ヨソク
- Predicting offender characteristics in serial house burglaries based on modus operandi
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Abstract
The objective of this study was to identify patterns of modus operandi that would be effective for predicting offender characteristics. For this purpose, logistic regression models were developed based on offender characteristics (17 variables) and modus operandi (50 variables) related to burglaries of residences, by using a stepwise method. Useful models were selected by using the area under the ROC curve, and by improvements in prediction accuracy from the prior probability, based on the frequency of the category of each offender characteristic. Models containing the following four offender characteristics were selected as useful: age, presence of a co-offender, criminal history of house burglaries with no one home, and criminal history of house burglaries late at night. Burglary experiences and age emerged as common potential factors of modus operandi and offender characteristics. It is suggested that selected modus operandi could be utilized to predict offender characteristics.<br>
Journal
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- Japanese Journal of Forensic Science and Technology
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Japanese Journal of Forensic Science and Technology 19 (1), 31-43, 2014
Japanese Association of Forensic Science and Technology