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通过将传统估计方法整合到潜在类别聚类模型中来识别工作场所欺凌的受害者。

Identifying victims of workplace bullying by integrating traditional estimation approaches into a latent class cluster model.

作者信息

Leon-Perez Jose M, Notelaers Guy, Arenas Alicia, Munduate Lourdes, Medina Francisco J

机构信息

ISCTE-Instituto Universitário de Lisboa, Portugal.

出版信息

J Interpers Violence. 2014 May;29(7):1155-77. doi: 10.1177/0886260513506280. Epub 2013 Nov 19.

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.

摘要

研究结果强调了接触欺凌行为的负面影响,并记录了职场欺凌受害者对健康的有害影响。虽然没有人质疑其负面后果,但由于报告的职场欺凌流行率差异很大,关于这一现象的严重程度的争论仍在继续。方法学方面可能解释了这些发现。我们对这场辩论的贡献是将职场欺凌的行为和自我标签估计方法整合到一个构成欺凌类型学的测量模型中。本样本(n = 1619)的结果显示,根据所报告的欺凌行为的性质和强度,可以区分出六个不同的群体。这些集群描绘了职场欺凌过程的不同路径,其中与工作相关的负面行为和有辱人格的行为紧密交织。外部效度分析表明,将以前的估计方法整合到一个单一的测量潜在类别模型中,可以提供一种可靠的职场欺凌估计方法,这可能克服以前的缺陷。

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