Emotion differentiation refers to the tendency to label emotions in a granular way. While differentiation is an important individual difference in the context of psychological well-being, it is unknown how it fluctuates within individuals. Such a within-person measure is important, since it would allow the study of how changes in differentiation predict subsequent levels of other variables of interest. Here, we present a framework to study emotion differentiation at the within-person level by introducing a momentary emotion differentiation index. This index is directly derived from the classical emotion differentiation index, the intraclass correlation. We first give a theoretical derivation of this index. Next, using data from two experience sampling studies, we show how this new momentary index is related to other momentary indicators of well-being, and take the first steps in building its nomological network. A better understanding of within-person fluctuations in emotion differentiation will allow us to identify the causes and consequences of these fluctuations, and search for ways to teach individuals to increase their level of emotion differentiation.

情绪分化是指以细粒度方式标记情绪的趋势。虽然差异化是心理健康背景下的重要个体差异，但尚不清楚它如何在个体内部波动。这种个人内部测量很重要，因为它可以研究分化的变化如何预测其他感兴趣变量的后续水平。在这里，我们提出了一个框架，通过引入瞬时情绪分化指数来研究人内水平的情绪分化。该指数直接来源于经典的情绪分化指数，即类内相关性。我们首先给出这个指数的理论推导。接下来，使用来自两个经验抽样研究的数据，我们展示了这个新的瞬时指数如何与其他幸福的瞬时指标相关联，并迈出了建立其法则网络的第一步。更好地了解情绪分化中的人体内波动将使我们能够确定这些波动的原因和后果，并寻找方法来教导个人提高情绪分化水平。