23–26 Sept 2025
Charité Campus Mitte
Europe/Berlin timezone

Psychometric properties of the Cyber-aggression and Cyber-victimization Scale (CAV): assessment of factor structure, internal consistency, and measurement invariance

25 Sept 2025, 12:30
1h
CharitéCrossOver/0-0 - Atrium (Virchowweg 6)

CharitéCrossOver/0-0 - Atrium

Virchowweg 6

300
Poster Posters Day 2 (25 September) Posters day 2

Speaker

Mrs Zuzana Vojtová (The Research Institute of Child Psychology and Pathopsychology (Slovak abbr. VÚDPaP), Cyprichova 42, 831 05, Bratislava, Slovak Republic)

Description

Authors: Zuzana Vojtová (The Research Institute of Child Psychology and Pathopsychology (Slovak abbr. VÚDPaP), Cyprichova 42, 831 05, Bratislava, Slovak Republic), Robert Tomšik (The Research Institute of Child Psychology and Pathopsychology (Slovak abbr. VÚDPaP), Cyprichova 42, 831 05, Bratislava, Slovak Republic)

Background: The aim of this study was to evaluate the psychometric properties of the Cyber-aggression and Cyber-victimization Scale (CAV), developed to assess adolescents’ experiences with cyber-aggression and cyber-victimization. The instrument consists of 24 items divided into two subscales: Cyber-aggression (CAV-CB; 12 items) and Cyber-victimization (CAV-CV; 12 items).
Methods: The research sample comprised N = 5,159 adolescents aged 14 to 18 years (M = 16.06; SD = 1.159), with 51.3% boys and 48.7% girls. Confirmatory factor analysis (CFA) was used to assess the factor structure, employing the DWLS method with robust corrections and evaluating standard goodness-of-fit indices. The analysis supported a two-factor model: χ² (251) = 530.064; p < .001; CFI = .993; TLI = .992; RMSEA = .016 (90% CI: .014–.018). Measurement invariance was tested across gender and age groups, including configural, metric, scalar, and strict invariance.
Results: Invariance testing results indicated acceptable fit for all models, supporting the comparability of scores across groups. Reliability was assessed using Cronbach’s alpha and McDonald’s omega, both indicating satisfactory internal consistency (CAV-CB: α = .907, ω = .908; CAV-CV: α = .920, ω = .921). Cyberaggression showed a significant correlation with cybervictimization (r = .687; p < .001), indicating a substantial relationship between the two constructs. Percentile-based cut-off scores were established for both subscales, enabling categorization of adolescents into low, moderate, and high exposure groups. Additionally, the poster presents results of inferential comparisons, showing that adolescents with higher levels of cyber-victimization and cyber-aggression reported significantly higher scores in stress, depression, anxiety, and lower wellbeing.
Discussion: The validated CAV scale provides a foundation for early identification and targeted intervention in school-based prevention efforts.

Conflict of interest The authors declare no conflict of interest.

Author

Robert Tomšik (The Research Institute of Child Psychology and Pathopsychology (Slovak abbr. VÚDPaP), Cyprichova 42, 831 05, Bratislava, Slovak Republic)

Co-author

Mrs Zuzana Vojtová (The Research Institute of Child Psychology and Pathopsychology (Slovak abbr. VÚDPaP), Cyprichova 42, 831 05, Bratislava, Slovak Republic)

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