@misc{10481/64509,
year = {2020},
url = {http://hdl.handle.net/10481/64509},
abstract = {The aggressor sets in motion dysfunctional and violent behaviors with others in the
dynamic of bullying. These behaviors can be understood as misfit coping strategies in response to
environmental demands perceived as stressful, putting at risk the quality of education. The aim of
this study was to develop a predictive model based on artificial neural networks (ANN) to forecast
a violent coping strategy based on perceived stress, resilience, other coping strategies and various
socio-demographic variables. For this purpose, the Stress Coping Questionnaire (SCQ), the Perceived
Stress Scale (PSS) and the Brief Resilient Coping Scale (BRCS) were administered to 283 participants
from the educational field (71.5% women). The design was cross-sectional. An inferential analysis
(multilayer perception ANN) was performed with SPSS version 24. The results showed a predictive
model that took into consideration the subject’s stress levels, personal assessment and strategies
such as negative self-targeting or avoidance to predict open emotional expression (a coping strategy
defined by violent behaviors) in approximately four out of five cases. The conclusions emphasis
the need for considering problem solving, stress management and coping skills to prevent school
violence and improve the social environment through sustainable psychological measures.},
publisher = {MDPI},
keywords = {Artificial neural networks},
keywords = {Bullying},
keywords = {School violence},
keywords = {Social environment},
keywords = {Psychological sustainability},
keywords = {Prevention},
title = {What If Violent Behavior Was a Coping Strategy? Approaching a Model Based on Artificial Neural Networks},
doi = {10.3390/su12187396},
author = {Martínez Ramón, Juan Pedro and Morales Rodríguez, Francisco Manuel},
}