Victim-Offender Overlap: A Latent Class Analysis of Cyberstalking Involvement

• In Event: Cyber Victimization in Context: Patterns, Overlaps, and Emerging Forms

Abstract

This study examines patterns of cyberstalking involvement among young adults in the U.S. and explores how various factors differ across these patterns. Using latent class analysis, four cyberstalking behavior classes were identified: High Perpetration/Moderate Victimization, Moderate Perpetration, Low Cyberstalking Behaviors, and Moderate Victimization. Key demographic factors, including gender, race, education, and relationship status, were analyzed for their association with these classes. The results indicated that women and racial minorities were less likely to belong to the High Perpetration/Moderate Victimization class, while those with higher education or in casual relationships were more likely to fall into this category. Additionally, the study examines online deviant behaviors such as trolling, sexting, and hacking, revealing their significant role in cyberstalking involvement. Individuals with low self-control and those engaging in trolling, hacking, and cyberbullying perpetration were more likely to be in the High Perpetration/Moderate Victimization class. These findings provide a nuanced understanding of cyberstalking behaviors, emphasizing how demographic characteristics and online deviance shape involvement patterns. By identifying risk factors and behavioral links, this study offers insights for prevention efforts and policy development aimed at mitigating cyberstalking among young adults.

Authors

• Narim Lee, Texas A&M International University

• Jennifer Ayerza, George Mason University

• Bojeong Kang, George Mason University

• Jin Lee, George Mason University

• Erica Fissel, ICF