Classifying perpetrators of stalking-related behavior with latent class analysis
Stalking often escalates from mild behaviors, such as surveillance, to severe forms involving violence, posing serious risks to victims. While identifying high-risk perpetrator classes is crucial for preventing victimization, research on perpetrator classification based on stalking behavior remains limited. This study used latent class analysis (LCA) to classify perpetrators by gender based on their stalking-related behavior (SRB) patterns from a Japanese population survey, and examined the risk levels and characteristics of each class. Participants included 530 Japanese individuals (240 men and 290 women) aged 20–49 years whose non-marital romantic partner had expressed a desire for separation and no contact. LCA revealed four-class models for both men and women. For men, the classes identified were indirect seeker (71.9 %), direct pursuit (21.3 %), serious perpetrator (3.8 %), and mild perpetrator (3.0 %). For women, the classes were indirect seeker (68.2 %), direct pursuit (19.2 %), malicious defamation (10.5 %), and serious perpetrator (2.2 %). In both genders, serious perpetrators exhibited a higher likelihood of violence and suicide attempts, emphasizing the need for mental health assessments and appropriate care alongside violence prevention. Future research should focus on exploring the diversity of high-risk perpetrators. • Perpetrators of stalking-related behavior were classified by gender into 4 groups. • Serious perpetrators exhibited a higher tendency toward violence and suicide. • Malicious defamation emerged as a characteristic class of female perpetrators. • Propensity for violence in relationships was linked to male serious perpetrators. • Future research should explore the diversity of high-risk perpetrators.
Authors
- Takuro Suzuki
Institutions
- University of Toyama (JP)
Publication Details
- Journal
- Journal of Criminal Justice
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1016/j.jcrimjus.2024.102298
- Citations
- 1
- Primary Topic
- Stalking, Cyberstalking, and Harassment
- Type
- article
- Field-Weighted Citation Impact
- 1.13