首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Exploring Risk Groups Workplace Bullying with Categorical Data
  • 本地全文:下载
  • 作者:Guy NOTELAERS ; Jeroen K. VERMUNT ; Elfi BAILLIEN
  • 期刊名称:Industrial Health
  • 印刷版ISSN:0019-8366
  • 电子版ISSN:1880-8026
  • 出版年度:2011
  • 卷号:49
  • 期号:1
  • 页码:73-88
  • DOI:10.2486/indhealth.MS1155
  • 出版社:National Institute of Occupational Safety and Health
  • 摘要:In this study, we first explore whether different exposure groups of workplace bullying exist, employing a large, heterogeneous sample. The results show six different exposure groups: almost 30.5% is not bullied since they report hardly any negative act at work at all, 27.2% face some limited work criticism , 20.8% face limited negative encounters , 8.3% is occasionally bullied , 9.5% are predominately work related bullied , and a total of 3.6% can be seen victims of severe workplace bullying. In a second step, the relationship between the identified target groups and social demographics were investigated using multinomial logistic regression to indentify risk groups of workplace bullying. Employees between the age of 35 and 54, public servants, blue-collar workers, as well as employees working in the food and manufacturing industries have a significantly elevated risk to be victims of workplace bullying. In contrast, employees younger than 25, employees with a temporary contract, teachers, nurses and assistant nurses are those least likely at risk. These findings are important for policymakers at the national and organisational level as they assist in focussing towards possible avenues to prevent workplace bullying.
  • 关键词:Workplace bullying;Risks groups;Latent class cluster analysis;Multinomial regression
国家哲学社会科学文献中心版权所有