ArticleFrontiers in psychiatry2021
The Risk of Bullying and Probability of Help-Seeking Behaviors in School Children: A Bayesian Network Analysis.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Reporting Standards for Bayesian Network Modelling.Entropy (Basel, Switzerland) · 2025Article
- Family Functioning and Internalizing and Externalizing Problems in Gifted Children.European journal of investigation in health, psychology and education · 2024Article
- Predictive factors regarding bullying behavior in Romanian schools.Frontiers in psychology · 2024Article
- Application of a Bayesian Network Learning Model to Predict Longitudinal Trajectories of Executive Function Difficulties in Elementary School Students.Journal of Intelligence · 2022Article
- Chains of tragedy: The impact of bullying victimization on mental health through mediating role of aggressive behavior and perceived social support.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
An increase in aggressive behaviors in adolescents has been observed for a few years. The participation in bullying is associated with many psychosocial difficulties in adolescent development. On the other hand, the help-seeking behavior can be one of the most important protective factors that reduce the risk for this type of violence. The study was aimed at estimating the risk factors, as well as the protective factors of school bullying, by using the Bayesian networks to build a model allowing to estimate the probability of occurrence of the aggressive and help-seeking behaviors among school children. The focus was on individual risk/protective factors related to EAS temperament (emotionality, activity, and sociability) and variables related to the family context (level of cohesion, flexibility, family communication, and family life satisfaction). Bayesian methods have not been particularly mainstream in the social and medical sciences. The sample comprised 75 students (32 boys and 43 girls), aged 13-15 (M = 13.82; SD = 0.47). Assessment comprised The EAS Temperament Questionnaire, Family Adaptability & Cohesion Evaluation Scales FACES IV-SOR (Family Rating Scale), and Survey questionnaire. The Bayesian networks were applied. Depending on the values of the identified variables, very high
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Registered trials
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