Citation

Mahmood S, Siraji MA, Naher R, Arató N, Kaló Z. Asian J. Psychiatry 2023; 83: e103514.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.ajp.2023.103514

PMID

36906995

Abstract

BACKGROUND: The assessment of bullying-related attributes is vital in developing anti-bullying intervention and prevention programs. The revised Olweus Bully/Victim Questionnaire (OBVQ-R) is one tool that has been widely used for this purpose. Thus, as we noticed a rising interest in research on bullying and there is a scarcity of proper psychometric tools to assess bullying-related attributes in Bangladesh, our study aimed to translate the OBVQ-R and test the psychometric properties of the Bangla version of this questionnaire on a large Bangladeshi adolescent sample.

METHOD: In Bangladesh, we collected data from grade 8-10 students (N = 567, 309 females, 258 males, Age(Mean±SD)=15.12 ± 0.81). The participants completed Bangla OBVQ-R, Beck Youth Inventory (BYI), and Children's Revised Impact of Events Scale-13 (CRIES-13).

RESULTS: The item response theory (IRT) analysis discarded five items and retained 15 items (Victimization=8, Perpetration=7). Both subscales had items with high discrimination (Victimization: 3.14 ± 0.67; Perpetration: 3.40 ± 1.04). Confirmatory factor analysis supported a correlated two-factor model (CFI=0.99; TLI=0.99). Both subscales (Victimization and Perpetration) and the 15-item full scale exhibited satisfactory reliability (>0.80). In line with our predictions, both subscales demonstrated significant positive correlations with BYI and CRIES-13, indicating satisfactory concurrent validity.

CONCLUSION: The results of the psychometric analyses supported the reliability and validity of the 15-item Bangla-version OBVQ-R to assess bullying involvement. Hence, this new, adapted measurement can facilitate further bullying research in Bangladesh and, thus, the development of prevention and intervention programs.

Language: en

Keywords

Reliability; Bullying; Exploratory structural equation modelling; Item response theory; OBVQ-R; Structural validity