共情的个体差异如何预测日常生活中的共情时刻。

IF 3.4 2区 心理学 Q1 PSYCHOLOGY, SOCIAL
Gregory J Depow, Michael Inzlicht
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引用次数: 0

摘要

特质共情测量能预测人们在日常生活中如何体验共情吗?尽管对移情进行了大量的研究,但我们对特质测量与现实世界的移情体验之间的关系知之甚少。在对246名美国成年人的7343份经验抽样调查的预登记分析中,我们绘制了有效的特质共情测量和共情状态体验之间的联系。状态共情的每个组成部分——包括情感分享、观点采纳和同情——都被理论相关的特质测量显著预测。然而,共情特质解释了日常体验的有限差异,从情感分享的3%到感知共情效能的15%不等。添加情绪效价作为预测因子,可以改善模型拟合和方差,解释大多数状态体验,突出了环境的关键作用。我们的研究结果证实了特质共情测量,同时揭示了它们在预测现实世界经历方面的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Individual Differences in Empathy Predict Moments of Empathy in Everyday Life.

Do trait empathy measures predict how people experience empathy in daily life? Despite considerable research on empathy, we know surprisingly little about how trait measures relate to real-world empathic experiences. In this preregistered analysis of 7,343 experience sampling surveys from a near-representative sample of 246 U.S. adults, we map the connections between validated trait empathy measures and state experiences of empathy. Each component of state empathy-including emotion sharing, perspective taking, and compassion-was significantly predicted by theoretically relevant trait measures. However, trait empathy explained limited variance in daily experiences overall, ranging from just 3% for emotion sharing to 15% for perceived empathic efficacy. Adding emotional valence as a predictor improved model fit and variance explained for most state experiences, highlighting the crucial role of context. Our findings validate trait empathy measures while revealing their limitations in predicting real-world experiences.

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来源期刊
CiteScore
9.20
自引率
5.00%
发文量
116
期刊介绍: The Personality and Social Psychology Bulletin is the official journal for the Society of Personality and Social Psychology. The journal is an international outlet for original empirical papers in all areas of personality and social psychology.
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