Summary
Previous research comparing different large-scale cross-national surveys has shown substantial discrepancies in (cyber)bullying and (cyber)victimization rates within countries. This study hypothesized that systematic differences in bullying definitions might explain these discrepancies. Prevalence rates of bullying, victimization, cyberbullying and cybervictimization of two large-scale surveys, EU Kids Online (EUKO) and Health Behaviour in School-aged Children (HBSC) that used two types of bullying definitions were compared using data from 123,206 students (aged 10–16 years) in 19 overlapping countries. Contrary to our hypotheses, multilevel Bayesian logistic regression analyses in Mplus and Bayes factor calculations in R showed no evidence of systematic differences in prevalence rates bet
Dig deeper with Pulse AI.
Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.