Cargando…

Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims

The development of Information and Communication Technologies has favored access to technological resources in adolescents. These tools provide access to information that can promote learning. However, they can also have a negative effect against people, as they can be used with other functionality,...

Descripción completa

Detalles Bibliográficos
Autores principales: Estrada-Vidal, Ligia Isabel, Epelde-Larrañaga, Amaya, Chacón-Borrego, Fátima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766663/
https://www.ncbi.nlm.nih.gov/pubmed/35069393
http://dx.doi.org/10.3389/fpsyg.2021.798926
_version_ 1784634578172903424
author Estrada-Vidal, Ligia Isabel
Epelde-Larrañaga, Amaya
Chacón-Borrego, Fátima
author_facet Estrada-Vidal, Ligia Isabel
Epelde-Larrañaga, Amaya
Chacón-Borrego, Fátima
author_sort Estrada-Vidal, Ligia Isabel
collection PubMed
description The development of Information and Communication Technologies has favored access to technological resources in adolescents. These tools provide access to information that can promote learning. However, they can also have a negative effect against people, as they can be used with other functionality, in which cyberbullying situations are caused during the interactions that arise when using social networks. The objective of this study was to determine the predictive value of the role of cyberbullying victims based on variables related to other roles involved in cyberbullying and bullying (aggressors and witnesses), as well as personal characteristics (sex and age), contextual characteristics (type of educational school in which they are attending) and positive teamwork habits. (cooperation, responsibility, dialogue, listening, respect). Information was collected from 227 students of the educational stages of Primary Education and Secondary Education, aged between 11 and 15 years, in a city with a high index of cultural diversity. The step-by-step technique was used to build the regression model. The results indicate that the model has a good goodness of fit coefficient (adjusted R(2): 0.574; p < 0.001). The role of cyberbully is the most important predictive variable of the role of the victim in cyberbullying and, to a lesser extent, the role of the witness in cyberbullying, the role of the witness in bullying, and the role of the victim of bullying. The role of the bullying aggressor and the variables sex, age, type of educational center, and teamwork habits are excluded in the predictive model.
format Online
Article
Text
id pubmed-8766663
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-87666632022-01-20 Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims Estrada-Vidal, Ligia Isabel Epelde-Larrañaga, Amaya Chacón-Borrego, Fátima Front Psychol Psychology The development of Information and Communication Technologies has favored access to technological resources in adolescents. These tools provide access to information that can promote learning. However, they can also have a negative effect against people, as they can be used with other functionality, in which cyberbullying situations are caused during the interactions that arise when using social networks. The objective of this study was to determine the predictive value of the role of cyberbullying victims based on variables related to other roles involved in cyberbullying and bullying (aggressors and witnesses), as well as personal characteristics (sex and age), contextual characteristics (type of educational school in which they are attending) and positive teamwork habits. (cooperation, responsibility, dialogue, listening, respect). Information was collected from 227 students of the educational stages of Primary Education and Secondary Education, aged between 11 and 15 years, in a city with a high index of cultural diversity. The step-by-step technique was used to build the regression model. The results indicate that the model has a good goodness of fit coefficient (adjusted R(2): 0.574; p < 0.001). The role of cyberbully is the most important predictive variable of the role of the victim in cyberbullying and, to a lesser extent, the role of the witness in cyberbullying, the role of the witness in bullying, and the role of the victim of bullying. The role of the bullying aggressor and the variables sex, age, type of educational center, and teamwork habits are excluded in the predictive model. Frontiers Media S.A. 2022-01-05 /pmc/articles/PMC8766663/ /pubmed/35069393 http://dx.doi.org/10.3389/fpsyg.2021.798926 Text en Copyright © 2022 Estrada-Vidal, Epelde-Larrañaga and Chacón-Borrego. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Estrada-Vidal, Ligia Isabel
Epelde-Larrañaga, Amaya
Chacón-Borrego, Fátima
Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims
title Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims
title_full Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims
title_fullStr Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims
title_full_unstemmed Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims
title_short Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims
title_sort predictive model of the factors involved in cyberbullying of adolescent victims
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766663/
https://www.ncbi.nlm.nih.gov/pubmed/35069393
http://dx.doi.org/10.3389/fpsyg.2021.798926
work_keys_str_mv AT estradavidalligiaisabel predictivemodelofthefactorsinvolvedincyberbullyingofadolescentvictims
AT epeldelarranagaamaya predictivemodelofthefactorsinvolvedincyberbullyingofadolescentvictims
AT chaconborregofatima predictivemodelofthefactorsinvolvedincyberbullyingofadolescentvictims