title: Effects of racial and sexual harassment on work and the psychological well-being of African American women.
abstract: Research on workplace harassment has typically examined either racial or sexual harassment, without studying both simultaneously. As a result, it remains unknown whether the co-occurrence of racial and sexual harassment or their interactive effects account for unique variance in work and psychological well-being. In this study, hierarchical linear regression analyses were used to explore the influence of racial and sexual harassment on these outcomes among 91 African American women involved in a sexual harassment employment lawsuit. Results indicated that both sexual and racial harassment contributed significantly to the women's occupational and psychological outcomes. Moreover, their interaction was statistically significant when predicting supervisor satisfaction and perceived organizational tolerance of harassment. Using a sample of African American women employed in an organizational setting where harassment was known to have occurred and examining sexual and racial harassment concomitantly makes this study unique. As such, it provides novel insights and an important contribution to an emerging body of research and underscores the importance of assessing multiple forms of harassment when examining organizational stressors, particularly among women of color.
authors.affiliation: Department of Psychology, Michigan State University, East Lansing, MI 48824-1116, USA. nbuchana@msu.edu
authors.forename: NiCole T
authors.initials: NT
authors.lastname: Buchanan
authors.forename: Louise F
authors.initials: LF
authors.lastname: Fitzgerald
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000368:Aged; D005260:Female; D006801:Humans; D008875:Middle Aged; D011287:Prejudice; D017406:Sexual Harassment / Q000208:ethnology* / Q000523:psychology*; D011795:Surveys and Questionnaires; D017132:Workplace / Q000523:psychology* / Q000706:statistics & numerical data*