心理学
心理信息
感觉
同情
期望理论
冥想
亲社会行为
干预(咨询)
捐赠
移情关怀
临床心理学
社会心理学
操作化
利他主义(生物学)
助人行为
移情
透视法
梅德林
经济
法学
哲学
经济增长
神学
精神科
政治学
认识论
作者
Yoni K. Ashar,Jessica R. Andrews-Hanna,Tal Yarkoni,Jenifer Sills,Joan Halifax,Sona Dimidjian,Tor D. Wager
出处
期刊:Emotion
[American Psychological Association]
日期:2016-03-28
卷期号:16 (5): 691-705
被引量:73
摘要
Compassion is critical for societal wellbeing. Yet, it remains unclear how specific thoughts and feelings motivate compassionate behavior, and we lack a scientific understanding of how to effectively cultivate compassion. Here, we conducted 2 studies designed to a) develop a psychological model predicting compassionate behavior, and b) test this model as a mediator of a Compassion Meditation (CM) intervention and identify the "active ingredients" of CM. In Study 1, we developed a model predicting compassionate behavior, operationalized as real-money charitable donation, from a linear combination of self-reported tenderness, personal distress, perceived blamelessness, and perceived instrumental value of helping with high cross-validated accuracy, r = .67, p < .0001. Perceived similarity to suffering others did not predict charitable donation when controlling for other feelings and attributions. In Study 2, a randomized controlled trial, we tested the Study 1 model as a mediator of CM and investigated active ingredients. We compared a smartphone-based CM program to 2 conditions-placebo oxytocin and a Familiarity intervention-to control for expectancy effects, demand characteristics, and familiarity effects. Relative to control conditions, CM increased charitable donations, and changes in the Study 1 model of feelings and attributions mediated this effect (pab = .002). The Familiarity intervention led to decreases in primary outcomes, while placebo oxytocin had no significant effects on primary outcomes. Overall, this work contributes a quantitative model of compassionate behavior, and informs our understanding of the change processes and intervention components of CM. (PsycINFO Database Record
科研通智能强力驱动
Strongly Powered by AbleSci AI