Identifying adolescents’ victimization experiences

This study investigates the profiles of students involved in different forms of victimization using a person-centered approach. It examines the associated psychosocial characteristics, including bullying perpetration, peer support, self-perceived personality, loneliness, social self-concept, and negative affect. A sample of 2081 students (59% girls; Mage = 15.49, SD = 1.51) was analyzed. Latent profile analysis (LPA) identified three distinct profiles based on experiences of verbal, relational, and cyber victimization: nonvictims (89.8%), moderate victims (5.3%), and severe victims (4.9%). The analysis revealed significant differences among the profiles, with severe victims exhibiting the poorest psychosocial outcomes, characterized by high levels of loneliness, negative affect, and poor social self-concept. Moderate victims showed similarities to nonvictims in most characteristics, yet their role in bullying perpetration suggests they might be bully-victims. Nonvictims demonstrated the most favorable psychosocial profile. These findings indicate that victimization experiences are heterogeneous, with severe victims being the most negatively impacted. The study highlights the importance of differentiating between levels of victimization in research and practice to better address the needs of affected students. Future research should further explore the nuanced roles of moderate victims and the implications for intervention strategies.

Institutions

Publication Details

Journal
DiRROS repository (University of Maribor)
Published
2024-12-28
Primary Topic
Cephalopods and Marine Biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying adolescents’ victimization experiences

DiRROS repository (University of Maribor)
Cephalopods and Marine Biology
article

Identifying adolescents’ victimization experiences

article en

Abstract

This study investigates the profiles of students involved in different forms of victimization using a person-centered approach. It examines the associated psychosocial characteristics, including bullying perpetration, peer support, self-perceived personality, loneliness, social self-concept, and negative affect. A sample of 2081 students (59% girls; Mage = 15.49, SD = 1.51) was analyzed. Latent profile analysis (LPA) identified three distinct profiles based on experiences of verbal, relational, and cyber victimization: nonvictims (89.8%), moderate victims (5.3%), and severe victims (4.9%). The analysis revealed significant differences among the profiles, with severe victims exhibiting the poorest psychosocial outcomes, characterized by high levels of loneliness, negative affect, and poor social self-concept. Moderate victims showed similarities to nonvictims in most characteristics, yet their role in bullying perpetration suggests they might be bully-victims. Nonvictims demonstrated the most favorable psychosocial profile. These findings indicate that victimization experiences are heterogeneous, with severe victims being the most negatively impacted. The study highlights the importance of differentiating between levels of victimization in research and practice to better address the needs of affected students. Future research should further explore the nuanced roles of moderate victims and the implications for intervention strategies.

DiRROS repository (University of Maribor)
University of Maribor (SI), Šolski Center Velenje (SI), Educational Research Institute (SI)
Openalex Percentile: Top 26%
Cephalopods and Marine Biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.