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On the Real Magnitude of Psychological Sex Differences:

机译:关于心理性别差异的真实数量:

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A comprehensive evolutionary theory of sex differences will benefit from an accurate assessment of their magnitude across different psychological domains. This article shows that mainstream research has severely underestimated the magnitude of psychological sex differences; the reason lies in the common practice of measuring multidimensional differences one dimension at a time, without integrating them into a proper multivariate effect size (ES). Employing the Mahalanobis distance D (the multivariate generalization of Cohen's d) results in more accurate, and predictably larger, estimates of overall sex differences in multidimensional constructs. Two real-world examples are presented: (1) In a published dataset on Big Five personality traits, sex differences on individual scales averaged d = .27, a typical ES conventionally regarded as a??small.a?? However, the overall difference was D = .84 (disattenuated D = .98), implying considerable statistical separation between male and female distributions. (2) In a recent meta-analytic summary of sex differences in aggression, the individual ESs averaged d = .34. However, the overall difference was estimated at D = .75 a?? .80 (disattenuated D = .89a??1.01). In many psychological domains, sex differences may be substantially larger than previously acknowledged.
机译:全面的性别差异进化理论将受益于对不同心理领域的差异程度的准确评估。本文表明,主流研究严重低估了心理性别差异的严重性。原因在于通常的做法是一次测量一个维度的多维差异,而不将其整合到适当的多元效果量(ES)中。使用Mahalanobis距离D(科恩d的多元概括)可以更准确且可预测地更大地估计多维构造中的总体性别差异。给出了两个真实的例子:(1)在有关五种人格特质的已发布数据集中,各个尺度上的性别差异平均d = 0.27,这是通常被视为“小”的典型ES。但是,总体差异为D = .84(衰减的D = .98),这意味着男性和女性分布之间的统计差异很大。 (2)在最近关于攻击性性别差异的荟萃分析摘要中,单个ES的平均值为d = 0.34。但是,总体差异估计为D = .75 a ??。 0.80(衰减的D =0.89a≤1.01)。在许多心理领域,性别差异可能比以前承认的要大得多。

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