1996
DOI: 10.1037/0003-066x.51.2.157
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Male-female differences: A computer simulation.

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Cited by 368 publications
(259 citation statements)
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“…Although the differences in ratings may be perceived as modest, the effect sizes were all moderate to large (d = 0.60-0.75). Thus, the current results suggest that subtle gender bias is important to address because it could translate into large real-world disadvantages in the judgment and treatment of female science students (39). Moreover, our mediation findings shed light on the processes responsible for this bias, suggesting that the female student was less likely to be hired than the male student because she was perceived as less competent.…”
Section: Discussionmentioning
confidence: 74%
“…Although the differences in ratings may be perceived as modest, the effect sizes were all moderate to large (d = 0.60-0.75). Thus, the current results suggest that subtle gender bias is important to address because it could translate into large real-world disadvantages in the judgment and treatment of female science students (39). Moreover, our mediation findings shed light on the processes responsible for this bias, suggesting that the female student was less likely to be hired than the male student because she was perceived as less competent.…”
Section: Discussionmentioning
confidence: 74%
“…However, the gender differences were large enough to be statistically significant, and although the effect was small, research by Martel, Lane, and Willis (1996) has shown that seemingly small gender differences may have enormous impact when compounded over time. Thus, small differences or what seem like molehills of disparity can become mountains of disparity over time and experiences (see Valian, 2000).…”
Section: Discussionmentioning
confidence: 99%
“…We expect our moderate gender differences in negotiator ethics to matter in practical terms because simulations suggest that even small differences have important practical consequences. In one simulation, Martell, Lane, and Emrich (1996) explored the effects of bias in work performance ratings on women's representation in leadership positions. When gender bias comprised only 1% of the variance in performance ratings, only 35% of topranking positions in an organizational hierarchy were filled by women.…”
Section: Potential Practical Implicationsmentioning
confidence: 99%