TY  - JOUR
PY  - 2016//
TI  - A multivariate model for analyzing crime scene information: predicting stranger, solo offender, and money-oriented motive of Japanese homicides
JO  - Homicide studies
A1  - Fujita, Goro
A1  - Watanabe, Kazumi
A1  - Yokota, Kaeko
A1  - Suzuki, Mamoru
A1  - Wachi, Taeko
A1  - Otsuka, Yusuke
A1  - Kuraishi, Hiroki
SP  - 295
EP  - 320
VL  - 20
IS  - 4
N2  - This study examines the validity of a statistical offender profiling technique that predicts the multi-dimensional classification of homicide offenders. Analyzing 539 Japanese homicide cases, we constructed multivariate prediction models that infer classifications defined by three dichotomous variables (stranger offender, solo offender, money-oriented motive) on the basis of crime scene information. We evaluated the validity of the models with a 10-fold cross-validation procedure and a receiver operating characteristic (ROC) analysis, and found the models to have moderate accuracy (area under the curve [AUC] =.73 to.82). We discussed the results from the perspective of the offender's rational choices in the crime scene and crime specialization.<p />  <p>Language: en</p>
LA  - en
SN  - 1088-7679
UR  - http://dx.doi.org/10.1177/1088767915613828
ID  - ref1
ER  -