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Crime Scene Behaviors and Characteristics of Offenders with Mental Illness: A Latent Class Analysis
Author(s) -
Sea Jonghan,
Beauregard Eric,
Lee Sanggyung
Publication year - 2020
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/1556-4029.14276
Subject(s) - latent class model , psychology , mental illness , crime scene , commission , criminology , sample (material) , class (philosophy) , criminal behavior , offender profiling , criminal history , social psychology , mental health , psychiatry , computer science , artificial intelligence , political science , chemistry , chromatography , machine learning , law , bayesian network
The current study aimed to identify distinct types of crime scene behaviors based on the criminal planning and motivation of offenders with mental illness in South Korea. Furthermore, our study examined the relationships between the identified types of crime scene behaviors in terms of the offenders’ sociodemographic characteristics, modus operandi, and types of mental illness. Utilizing latent class analysis, the associations between crime scene behavior types and offender characteristics such as demographic factors, crime scene actions, and criminal information were empirically investigated. In particular, based on a sample obtained from a national police database of offenses committed between 2006 and 2014, four offense groups were identified: (i) instrumental–planned, (ii) instrumental–unplanned, (iii) expressive–unplanned, and (iv) hybrid. Additionally, significant relationships were found between offense styles and offender characteristics as well as criminal backgrounds. The findings suggest that mental disorders influence the types of actions exhibited by offenders during the commission of their crime. The results are discussed in terms of their theoretical and practical utility to criminal investigation.

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