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Autor/inn/enJackson, Linda A.; und weitere
TitelGender Stereotypes and Attributions: A Bayesian Analysis.
Quelle(1987), (12 Seiten)
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BeigabenTabellen
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
SchlagwörterTagungsbericht; Attribution Theory; College Students; Expectation; Failure; Higher Education; Prediction; Sex Differences; Sex Stereotypes; Success
AbstractEarly 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)
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2004/1/01
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