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Title: Identifying victims of workplace bullying by integrating traditional estimation approaches into a latent class cluster model
Authors: Leon-Perez, J. M.
Notelaers, G.
Arenas, A.
Munduate, L.
Medina, F. J.
Keywords: Workplace bullying
Latent cluster
Employee health
Issue Date: 2014
Publisher: SAGE
Abstract: Research findings underline the negative effects of exposure to bullying behaviors and document the detrimental health effects of being a victim of workplace bullying. While no one disputes its negative consequences, debate continues about the magnitude of this phenomenon since very different prevalence rates of workplace bullying have been reported. Methodological aspects may explain these findings. Our contribution to this debate integrates behavioral and self-labeling estimation methods of workplace bullying into a measurement model that constitutes a bullying typology. Results in the present sample (n = 1,619) revealed that six different groups can be distinguished according to the nature and intensity of reported bullying behaviors. These clusters portray different paths for the workplace bullying process, where negative work-related and person-degrading behaviors are strongly intertwined. The analysis of the external validity showed that integrating previous estimation methods into a single measurement latent class model provides a reliable estimation method of workplace bullying, which may overcome previous flaws.
Description: WOS:000333323600001 (Nº de Acesso Web of Science)
Peer reviewed: Sim
DOI: 10.1177/0886260513506280
ISSN: 0886-2605
Publisher version: The definitive version is available at:
Appears in Collections:BRU-RI - Artigo em revista científica internacional com arbitragem científica

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