Literaturnachweis - Detailanzeige
| Autor/inn/en | Jazwinski, Christine H.; und weitere |
|---|---|
| Titel | Attribution of Sexism: Effects of Supervisor Gender and Similarity of Co-Workers' Experiences. |
| Quelle | (1990), (13 Seiten) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; Monographie |
| Schlagwörter | Attribution Theory; College Students; Employee Attitudes; Employer Employee Relationship; Higher Education; Perception; Predictor Variables; Role Playing; Sex Bias; Sex Discrimination; Simulation; Supervisors; Work Environment |
| Abstract | Perceptions of supervisor bias can profoundly affect employee morale, yet the perceiver usually infers bias from limited information. In this study, 95 male and female undergraduate students participated in groups of 2 to 5 for course credit, playing the role of middle-level managers working in the personnel department of a fictitious company composed of 700 employees. Participants were asked to evaluate the files of four female employees, and to rate the supervisor's categorical and personal bias. Two dimensions for the classification of bias were proposed: facilitation (e.g. nepotism, "old boys club") versus hindrance (e.g. personal dislike, sexism); and personal (e.g. personal dislike, nepotism) versus categorical (e.g. sexism, "old boys club"). Based on attribution theory, it was anticipated that an unfavorable promotion recommendation, evidence of high employee ability, male supervisor gender, and consensus about the similarity of co-workers experiences would predict attributions of hindrance bias to the employee's supervisor. It was also predicted that judgments of categorical bias would be more strongly influenced by consensus information than would judgments of personal bias. All predictions, except those relating evidence of high ability to perception of bias, were confirmed. Results demonstrate the utility of attribution theory for the study of perceived bias. (Author/TE) |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
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