We examined individual differences in the motivation to regulate affect intensity. In three samples (total n = 1082) we used structural equation modeling and found support for a serial mediation model in which positive trait affect predicted the motivation to increase the intensity of positive affect and decrease the intensity of negative affect, indirectly, through the commonality and value of positive affect. These findings indicate that trait affect drives regulation motives for multiple parameters of affect: people most value, and are motivated to feel, moods and emotions that match their typical experiences on intensity as well as valence.

中文翻译：

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调节情感强度的动机的个体差异：积极特质情感和特质一致性情感的价值

我们研究了调节情绪强度动机的个体差异。在三个样本（总n  = 1082）中，我们使用了结构方程模型，并发现了对串行调解模型的支持，在该模型中，积极特质影响通过共同性间接预测了增加积极影响强度和降低负面影响强度的动机和积极影响的价值。这些发现表明，特质的情感驱动着情感的多个参数的调节动机：人们最看重价值，并被激发去与他们在强度和效价上的典型经历相匹配的感觉，情绪和情感。