ERIC Number: ED291021
Record Type: RIE
Publication Date: 1987-Aug
Reference Count: N/A
Gender Stereotypes and Attributions: A Bayesian Analysis.
Jackson, Linda A.; And Others
Early research demonstrating an association between success and the male stereotype and between failure and the female stereotype, and the Bayesian analysis of attribution theory provided the bases for predictions about the effects of gender and performance outcomes on probability estimates of future success. The relation between gender stereotypes and attributions for skill-based performance were examined from the framework of the psychology of prediction. College students (N=235) observed a videotaped male or female target either succeed or fail at a task. Following this observation, a male or female coactor either succeeded or failed at the same task. After viewing the tapes, subjects made probability estimates of the targets' future success at similar tasks. Probability estimates of the target's future success revealed that males benefited more from success than did females, and that females were hurt more by failure, whether their own or another's, than were males. Given identical successful performances, probability estimates of future success were greater for males than for females. Support for predictions derived from attribution theory suggest that the effects of consensus information on attributions depend on the congruence of outcomes with gender stereotypic expectations. (Author/NB)
Publication Type: Reports - Research
Education Level: N/A
Authoring Institution: N/A
Note: Paper presented at the Annual Convention of the American Psychological Association (95th, New York, NY, August 28-September 1, 1987).