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,...
Autores principales: | , , |
---|---|
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 |