Comparing victim attributions and outcomes for workplace aggression and sexual harassment

J Appl Psychol. 2010 Sep;95(5):874-88. doi: 10.1037/a0020070.

Abstract

In 2 studies, we investigated victim attributions (Study 1) and outcomes (Study 2) for workplace aggression and sexual harassment. Drawing on social categorization theory, we argue that victims of workplace aggression and sexual harassment may make different attributions about their mistreatment. In Study 1, we investigated victim attributions in an experimental study. We hypothesized that victims of sexual harassment are more likely than victims of workplace aggression to depersonalize their mistreatment and attribute blame to the perpetrator or the perpetrator's attitudes toward their gender. In contrast, victims of workplace aggression are more likely than victims of sexual harassment to personalize the mistreatment and make internal attributions. Results supported our hypotheses. On the basis of differential attributions for these 2 types of mistreatment, we argue that victims of workplace aggression may experience stronger adverse outcomes than victims of sexual harassment. In Study 2, we compared meta-analytically the attitudinal, behavioral, and health outcomes of workplace aggression and sexual harassment. Negative outcomes of workplace aggression were stronger in magnitude than those of sexual harassment for 6 of the 8 outcome variables. Implications and future directions are discussed.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aggression / psychology*
  • Analysis of Variance
  • Attitude*
  • Crime Victims / psychology*
  • Crime Victims / statistics & numerical data
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Interpersonal Relations
  • Job Satisfaction
  • Male
  • Psychological Theory
  • Self Concept
  • Sexual Harassment / psychology*
  • Sexual Harassment / statistics & numerical data
  • Social Behavior
  • Workplace / psychology*
  • Workplace / statistics & numerical data