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分解约会行为中异性误判偏差:是男性高估还是女性低估自己的性意图?

Decomposing the cross-sex misprediction bias of dating behaviors: Do men overestimate or women underreport their sexual intentions?

机构信息

Marketing Department, IESE Business School.

Marketing Department, Stern School of Business, New York University.

出版信息

J Pers Soc Psychol. 2018 Jan;114(1):95-109. doi: 10.1037/pspi0000105. Epub 2017 Jul 13.

Abstract

Men typically predict women's sexual intentions to be higher than women say they are (Haselton & Buss, 2000). It is debated whether this cross-sex bias is because of men overestimating women's intentions (Murray et al., 2017), women underreporting their own intentions (Perilloux & Kurzban, 2015, 2017), or both. To unify the current debate, we decompose the part of the bias attributable to women underreporting versus men overestimating by using a survey method intervention to reduce underreporting of sensitive information: eliciting estimates about others before sensitive self-reports. First, we calibrate the current measurement instrument to assess the overall size of the misprediction bias (Study 1). Then, we manipulate the order-of-elicitation of self- and other-reports (Studies 2 and 3): Women report significantly higher own sexual intentions when they are asked about other targets' intentions before their own, suggesting that 48 to 69% of the overestimation bias is attributable to women underreporting their own sexual intentions. Analogous analyses for the misprediction bias about men suggest that women's overestimation bias of men's sexual intentions is entirely because of men underreporting their own sexual intentions. The findings have important implications for the current debate in the literature on cross-sex misprediction biases and the literature on asking sensitive survey questions. (PsycINFO Database Record

摘要

男性通常预测女性的性意图比女性自己说的要高(Haselton & Buss,2000)。人们争论的焦点是这种跨性别偏见是因为男性高估了女性的意图(Murray 等人,2017),还是因为女性低估了自己的意图(Perilloux & Kurzban,2015,2017),或者两者兼而有之。为了统一当前的争论,我们通过使用一种调查方法干预来减少对敏感信息的漏报,从而分解归因于女性漏报与男性高估的偏见部分:在进行敏感的自我报告之前,先对他人的情况进行估计。首先,我们校准了当前的测量工具来评估错误预测偏差的总体大小(研究 1)。然后,我们操纵自我报告和他人报告的顺序(研究 2 和 3):当女性在报告自己的性意图之前被要求报告其他目标的性意图时,她们报告的自己的性意图明显更高,这表明 48%到 69%的高估偏差归因于女性对自己的性意图的漏报。对关于男性的错误预测偏差的类似分析表明,女性对男性性意图的高估偏见完全是因为男性对自己的性意图的漏报。这些发现对关于跨性别错误预测偏见的文献以及关于询问敏感调查问题的文献中的当前争论具有重要意义。

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