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Psychometrické vlastnosti škály kyberagresie a kyberviktimizácie (CAV) na populácii adolescentov

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Tomšik R., Smiková E., Kopányiová A.
E-psychologie (E-psychology)
|
2025
|
vol. 19
|
issue 3
1-23
EN
The aim of this study was to evaluate the psychometric properties of the Cyber-Aggression and CyberVictimization Scale (CAV), which was developed to assess adolescents’ experiences with cyber-aggression and cyber-victimisation. The instrument consists of 24 items divided into two subscales: Cyber-aggression (CAV-CB; 12 items) and Cyber-victimization (CAV-CV; 12 items). 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. 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 = .699; p < .001), indicating a substantial relationship between the two constructs. The percentile distribution of scores in the adolescent population made it possible to establish provisional norm-referenced cut-off points for the CAV-CB and CAVCV subscales, based on which a three-level classification of exposure was created for research and preventive purposes.
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