Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain

This study investigates the co-occurrence of face-to-face bullying (FWB) and cyberbullying (CWB) in workplace settings. In doing so, we opted to use a person-centered approach with latent class analysis (LCA) to identify distinct patterns of bullying experiences rather than general prevalence rates....

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Detalhes bibliográficos
Autores: Cárdenas Miyar, Alfonso, Cantero Sánchez, Francisco Javier, León Rubio, José María, León Pérez, José María
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/177680
Acesso em linha:https://hdl.handle.net/11441/177680
https://doi.org/10.1016/j.chbr.2025.100822
Access Level:acceso abierto
Palavra-chave:Workplace incivility
Workplace bullying
Mobbing
Prevalence
Victimization profiles
Latent cluster analysis
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spelling Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in SpainCárdenas Miyar, AlfonsoCantero Sánchez, Francisco JavierLeón Rubio, José MaríaLeón Pérez, José MaríaWorkplace incivilityWorkplace bullyingMobbingPrevalenceVictimization profilesLatent cluster analysisThis study investigates the co-occurrence of face-to-face bullying (FWB) and cyberbullying (CWB) in workplace settings. In doing so, we opted to use a person-centered approach with latent class analysis (LCA) to identify distinct patterns of bullying experiences rather than general prevalence rates. Using a panel survey design, participants reported the frequency of exposure to both FWB and CWB (n = 1995; Mage = 42; SDage = 9.23; 53.6 % women). A LCA conducted with the R statistical package poLCA revealed that a 5 cluster solution fits data best (BIC: 36163, AIC: 34461; Entropy: 0.917; G2 = 13779). These clusters can be classified into the following categories: (1) individuals not exposed to bullying behaviors at all (53.84 %); (2) those rarely exposed only to face-to-face bullying behaviors (28.76 %); (3) those rarely exposed to both cyber-and face-to-face bullying behaviors (3.84 %); (4) those exposed to face-to-face bullying behaviors (5.52 %); and (5) those exposed to both cyber-and face-to-face bullying behaviors (8.04 %). Therefore, most of the participants can be considered at low risk of bullying victimization (86.44 %, grouping clusters 1 to 3), whereas 13.56 % of the participants can be considered bullying targets (grouping clusters 4 and 5). Our results suggest that a significant proportion of individuals encounter FWB and CWB together, indicating a complex bullying landscape within workplaces. Thus, our findings underscore the importance of tailored organizational policies that consider the varied experiences of bullying to prevent them and foster a healthier work environment.Premio Trimestral Publicación Científica Destacada de la US. Facultad de PsicologíaPremio Anual Publicación Científica Destacada de la US. Facultad de PsicologíaElsevierPsicología SocialJunta de AndalucíaEuropean Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/11441/177680https://doi.org/10.1016/j.chbr.2025.100822reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésComputers in Human Behavior Reports, 20, 100822.P20- 01191LCF/PR/ SR20/52550015https://doi.org/10.1016/j.chbr.2025.100822info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1776802026-06-17T12:51:07Z
dc.title.none.fl_str_mv Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
title Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
spellingShingle Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
Cárdenas Miyar, Alfonso
Workplace incivility
Workplace bullying
Mobbing
Prevalence
Victimization profiles
Latent cluster analysis
title_short Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
title_full Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
title_fullStr Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
title_full_unstemmed Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
title_sort Profiles of exposure to face-to-face and cyberbullying at work: A latent class analysis in Spain
dc.creator.none.fl_str_mv Cárdenas Miyar, Alfonso
Cantero Sánchez, Francisco Javier
León Rubio, José María
León Pérez, José María
author Cárdenas Miyar, Alfonso
author_facet Cárdenas Miyar, Alfonso
Cantero Sánchez, Francisco Javier
León Rubio, José María
León Pérez, José María
author_role author
author2 Cantero Sánchez, Francisco Javier
León Rubio, José María
León Pérez, José María
author2_role author
author
author
dc.contributor.none.fl_str_mv Psicología Social
Junta de Andalucía
European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)
dc.subject.none.fl_str_mv Workplace incivility
Workplace bullying
Mobbing
Prevalence
Victimization profiles
Latent cluster analysis
topic Workplace incivility
Workplace bullying
Mobbing
Prevalence
Victimization profiles
Latent cluster analysis
description This study investigates the co-occurrence of face-to-face bullying (FWB) and cyberbullying (CWB) in workplace settings. In doing so, we opted to use a person-centered approach with latent class analysis (LCA) to identify distinct patterns of bullying experiences rather than general prevalence rates. Using a panel survey design, participants reported the frequency of exposure to both FWB and CWB (n = 1995; Mage = 42; SDage = 9.23; 53.6 % women). A LCA conducted with the R statistical package poLCA revealed that a 5 cluster solution fits data best (BIC: 36163, AIC: 34461; Entropy: 0.917; G2 = 13779). These clusters can be classified into the following categories: (1) individuals not exposed to bullying behaviors at all (53.84 %); (2) those rarely exposed only to face-to-face bullying behaviors (28.76 %); (3) those rarely exposed to both cyber-and face-to-face bullying behaviors (3.84 %); (4) those exposed to face-to-face bullying behaviors (5.52 %); and (5) those exposed to both cyber-and face-to-face bullying behaviors (8.04 %). Therefore, most of the participants can be considered at low risk of bullying victimization (86.44 %, grouping clusters 1 to 3), whereas 13.56 % of the participants can be considered bullying targets (grouping clusters 4 and 5). Our results suggest that a significant proportion of individuals encounter FWB and CWB together, indicating a complex bullying landscape within workplaces. Thus, our findings underscore the importance of tailored organizational policies that consider the varied experiences of bullying to prevent them and foster a healthier work environment.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/177680
https://doi.org/10.1016/j.chbr.2025.100822
url https://hdl.handle.net/11441/177680
https://doi.org/10.1016/j.chbr.2025.100822
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Computers in Human Behavior Reports, 20, 100822.
P20- 01191
LCF/PR/ SR20/52550015
https://doi.org/10.1016/j.chbr.2025.100822
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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