An Examination of Middle School Students' Mathematical Bullying Victimization Levels in Relation to Socio-Demographic Variables

This study aimed to examine mathematical bullying victimization among middle school students and its relationship with socio-demographic variables using the Mathematical Bullying Victimization Scale (MBV-S). The sample consisted of 493 middle school students selected using a disproportionate stratified sampling method from five different schools in Konya, Türkiye, during the spring semester of the 2021-2022 academic year.Data were collected using the relational screening model and analyzed with nonparametric statistical methods. The results showed that female students were more frequently subjected to mathematical bullying compared to males. No significant differences were found in MBV-S scores based on grade levels. However, the analysis of school types revealed that students in girls-only religious middle schools experienced higher levels of mathematical bullying than students in other types of schools. Additionally, students with below-average mathematics achievement were more likely to be victims of mathematical bullying, whereas students with above-average achievement reported lower levels of victimization. The findings highlight the importance of developing strategies to address mathematical bullying that consider students' mathematical abilities and social dynamics. Supportive and inclusive environments should be prioritized, particularly for students with low achievement and those in specific school settings.

Authors

Institutions

Publication Details

Journal
International Journal of Academic Studies in Science and Education
Published
2024-12-30
DOI
https://doi.org/10.55549/ijasse.35
Primary Topic
Bullying, Victimization, and Aggression
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Examination of Middle School Students' Mathematical Bullying Victimization Levels in Relation to Socio-Demographic Variables

Naci KÜÇÜKGENÇAY
International Journal of Academic Studies in Science and Education
Bullying, Victimization, and Aggression
article

An Examination of Middle School Students' Mathematical Bullying Victimization Levels in Relation to Socio-Demographic Variables

Naci KÜÇÜKGENÇAY
article en

Abstract

This study aimed to examine mathematical bullying victimization among middle school students and its relationship with socio-demographic variables using the Mathematical Bullying Victimization Scale (MBV-S). The sample consisted of 493 middle school students selected using a disproportionate stratified sampling method from five different schools in Konya, Türkiye, during the spring semester of the 2021-2022 academic year.Data were collected using the relational screening model and analyzed with nonparametric statistical methods. The results showed that female students were more frequently subjected to mathematical bullying compared to males. No significant differences were found in MBV-S scores based on grade levels. However, the analysis of school types revealed that students in girls-only religious middle schools experienced higher levels of mathematical bullying than students in other types of schools. Additionally, students with below-average mathematics achievement were more likely to be victims of mathematical bullying, whereas students with above-average achievement reported lower levels of victimization. The findings highlight the importance of developing strategies to address mathematical bullying that consider students' mathematical abilities and social dynamics. Supportive and inclusive environments should be prioritized, particularly for students with low achievement and those in specific school settings.

International Journal of Academic Studies in Science and EducationVol. 2(2)
Necmettin Erbakan University (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 67%
Bullying, Victimization, and Aggression
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.