Classifying Stalking Persons in South Korea into Sub-Groups Based on Urgent Emergency Measure Checklist
Bibliographic Data
| ID | 16913633 |
|---|---|
| Authors | Eun Seo Park (0009-0002-4040-7377, Dongguk University), Young Il Cho (0000-0003-3235-7613, Dongguk University, corresponding author) |
| Year | 2025 |
| Volume | 15 |
| Issue | 3 |
| Publication date | 2025-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/21582440251381692 |
| OpenAlex | W4414677120 |
| Language | EN |
| Citations received | 1 |
| References cited | 37 |
This study utilized police archival data of 6,824 stalking events from January 2022 to June 2023, measured by the Urgent Emergency Measure Checklist. Latent class analysis was used to identify five subgroups and compared stalking duration and frequency, risk, request for urgent emergency measures, and reasons for non-request. The Aggression–Destruction (6.8%) displayed psychological problems, previous stalking histories, and combining stalking with violence. The Rationalizing-Noncompliance (3.5%) was characterized by rationalizing stalking behavior, and challenges in complying with or uncooperative with police instruction. The Rationalizing-Noncompliance and Aggression–Destruction had significantly high frequency and probabilities of risk and request. The Gradual (10.7%) and Shadowing (39.7%) merely hovered around the victim, with the latter having more extensive stalking histories. The Gradual had the lowest probabilities of request and necessity. The Hoverer (39.3%) threatened victims’ daily lives but lacked previous stalking histories. Future research should establish stalking classification system for police investigation and develop evidence-based intervention programs tailored to each subgroup. Additionally, evaluating the effectiveness of police-clinician collaboration frameworks could enhance risk management and victim protection strategies
Checklist · Latent class model · Poison control · Stalking · Suicide prevention · Human Factors and Ergonomics · Marriage and Sexual Relationships · Sexuality, Behavior, and Technology · Stalking, Cyberstalking, and Harassment
Applied Latent Class Analysis
Latent Class Analysis With Distal Outcomes
Finite Mixture Models
An entropy criterion for assessing the number of clusters in a mixture model
Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling
Factor Analysis and AIC
Estimating the Dimension of a Model
Application of Model-Selection Criteria to Some Problems in Multivariate Analysis
Integrating Person‐Centered and Variable‐Centered Analyses
Auxiliary Variables in Mixture Modeling
A critical analysis of stalking theory and implications for research and practice
Police-Identified Psychological Distress, Substance Use, and Physical Violence Among Male Intimate Partner Stalkers
Stalkers and their Victims
Performance of the entropy as an index of classification accuracy in latent profile analysis
Stalking
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |