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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. ispartof: Assessment vol:29 issue:4 pages:700-716 ispartof: location:United States status: published

Research has shown that how well people can differentiate between different emotional states is an essential requirement for adaptive emotion regulation. People with low levels of emotion differentiation tend to be more vulnerable to develop emotional disorders. Although we know quite a lot about the correlates of emotion differentiation, research on factors or interventions which could improve emotion differentiation skills is scarce. Here, we hypothesize, and study empirically, whether a mindfulness-based intervention (MBI) may impact the differentiation of negative and positive emotions. A within-subjects pre-, post-, and follow-up design involving experience sampling was used. At each phase participants reported their current emotions and mindfulness skills up to 40 times across 4 consecutive days using smartphones. Multilevel modeling showed a significant improvement in negative emotion differentiation postintervention and at 4 months of follow-up, and a significant improvement in positive emotion differentiation at 4 months follow-up. The improvement in negative emotion differentiation, however, was no longer significant when controlling for levels of negative affect. A time-lagged mediation model showed that posttreatment changes in mindfulness skills mediated subsequent changes in negative emotion differentiation, also when controlling for levels of negative affect. These results suggest that MBI is a promising approach to improve people’s emotion differentiation skills. (PsycINFO Database Record (c) 2019 APA, all rights reserved) (Source: journal abstract) ispartof: Emotion vol:19 issue:1 pages:123-131 ispartof: location:United States status: published

Abstract. Emotional intelligence (EI) should relate to people’s emotional experiences. We meta-analytically summarize associations of felt affect with ability EI branches (perception, facilitation, understanding, and management) and total scores ( k = 7–14; N = 1,584–2,813). We then use experience sampling ( N = 122 undergraduates over 5 days, 24 beeps) to test whether EI predicts emotion dynamics and complexity. Meta-analyses show that EI correlates significantly with lower negative affect (NA; ρ = −.21) but not higher positive affect (PA; ρ = .05). PA (but not NA) shows a significantly stronger relationship with emotion management (ρ = .23) versus other EI branches (ρ = −.01 to .07). In the experience sampling study, only management significantly related to higher PA, whereas lower NA was significantly related to total EI, perception, facilitation, and management. After controlling for mean affect: (a) only understanding significantly predicted NA dynamics whereas only management and facilitation significantly predicted PA dynamics; (b) management and facilitation predicted lower PA differentiation (EI was unrelated to NA differentiation); and (c) perception and facilitation predicted greater bipolarity. Results show that EI predicts affect, emotion dynamics, and emotion complexity. We discuss the importance of distinguishing between different branches of ability EI.

Emotion differentiation, the ability to describe and label our own emotions in a differentiated and specific manner, has been repeatedly associated with well-being. However, it is unclear exactly what type of differentiation is most strongly related to well-being: the ability to make fine-grained distinctions between emotions that are relatively closely related (e.g. anger and irritation), the ability to make larger distinctions between very distinct emotions (e.g. anger and sadness), or the combination of both. To determine which type of differentiation is most predictive of well-being, we performed a comprehensive meta-analysis across six datasets. We examined the correlations between these three types of differentiation and several indicators of well-being (depression, emotional clarity, and self-esteem). Results showed that individuals differentiated most between very distinct emotions and least between more related emotions, and that an index computed across emotions from both the same and different emotion categories was most strongly associated with well-being indicators. ispartof: Cognition & Emotion vol:33 issue:2 pages:258-271 ispartof: location:England status: published

Emotion regulation (ER) strategies are often categorized as universally adaptive or maladaptive. However, it has recently been proposed that this view is overly simplistic: instead, adaptive ER involves applying strategies variably to meet contextual demands. Using data from four experience-sampling studies (Ns = 70, 95, 200, and 179), we tested the relationship between ER variability and negative affect (NA) in everyday life. The constantly changing demands of daily life provide a more ecologically valid context in which to test the role of variability. We calculated 2 global indicators of variability: within-strategy variability (of particular strategies across time) and between-strategy variability (across strategies at one time-point). Associations between within-strategy variability and NA were inconsistent. In contrast, when controlling for mean strategy endorsement, between-strategy variability was associated with reduced NA across both individuals and measurement occasions. This is the first evidence that variably choosing between different strategies within a situation may be adaptive in daily life. ispartof: Emotion vol:20 issue:3 pages:473-485 ispartof: location:United States status: published

Emotion differentiation, which involves experiencing and labeling emotions in a granular way, has been linked with well-being. It has been theorized that differentiating between emotions facilitates effective emotion regulation, but this link has yet to be comprehensively tested. In two experience-sampling studies, we examined how negative emotion differentiation was related to (a) the selection of emotion-regulation strategies and (b) the effectiveness of these strategies in downregulating negative emotion ( Ns = 200 and 101 participants and 34,660 and 6,282 measurements, respectively). Unexpectedly, we found few relationships between differentiation and the selection of putatively adaptive or maladaptive strategies. Instead, we found interactions between differentiation and strategies in predicting negative emotion. Among low differentiators, all strategies (Study 1) and four of six strategies (Study 2) were more strongly associated with increased negative emotion than they were among high differentiators. This suggests that low differentiation may hinder successful emotion regulation, which in turn supports the idea that effective regulation may underlie differentiation benefits.

Does knowing your own emotions relate to knowing those of others? We argue that our ability to experience and label our own emotions in a differentiated and specific manner is related to the ability to accurately perceive the level of emotions in others. In an experience sampling study among romantic couples, we tested the hypothesis that individuals with higher levels of emotion differentiation are characterized by higher levels of empathic accuracy (i.e., judge others’ emotions more accurately). In line with expectations, results showed that individuals who differentiate highly between their negative emotions are more able to accurately infer how pleasant their partners are feeling across daily life. This finding establishes a link between perceptions of our own and others’ emotions and provides evidence that the skills we use to understand our own emotions are also relevant for understanding how others feel.

Emotion differentiation, the ability to make fine-grained distinctions between emotional states, has mainly been studied as a trait. In this research, we examine within-person fluctuations in emotion differentiation and hypothesize that stress is a central factor in predicting these fluctuations. We predict that experiencing stress will result in lower levels of emotion differentiation. Using data from a 3-wave longitudinal experience sampling study, we examined the within-person fluctuations in the level of emotion differentiation across days and months and tested if these fluctuations related to changes in stress levels. On the day-level, we found that differentiation of negative emotions varied significantly within individuals, that high stress levels were associated with lower levels of emotion differentiation, and that stress on 1 day negatively predicted the level of differentiation of negative emotions on a next day (but not vice versa). On the wave-level, we found a concurrent, but not a prospective relationship between stress and emotion differentiation. These results are the first to directly demonstrate the role of stress in predicting fluctuations in emotion differentiation and have implications for our theoretical understanding of emotion differentiation, as well as for interventions. (PsycINFO Database Record ispartof: JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY vol:115 issue:2 pages:179-191 ispartof: location:United States status: published

The ability to distinguish between emotions is considered indicative of well-being, but does emotion differentiation (ED) in an aesthetic context also reflect deeper and more knowledgeable aesthetic experiences? Here we examine whether positive and negative ED in response to artistic stimuli reflects higher fluency in an aesthetic domain. Particularly, we test whether knowledge of the arts and curiosity are associated with more fine-grained positive and negative aesthetic experiences. A sample of 214 people rated their positive and negative feelings in response to various artworks including positive and negative themes. Positive ED was associated with the embracing sub-trait of curiosity that reflects engagement and enjoyment of novelty and complexity, but was unrelated to artistic knowledge and perceived comprehension. Negative ED was associated with higher curiosity and particularly more knowledge of the arts. This relationship was mediated by appraised comprehension suggesting that deeper engagement with art, by those with more art knowledge, is associated with more fine-grained emotional experiences. This finding extends ED beyond well-being research and suggests that more nuanced emotional experiences are more likely for those with expertise in the arts and motivation for exploration. ispartof: Cognition and Emotion vol:32 issue:3 pages:593-599 ispartof: location:England status: published

People differ in the extent to which they experience positive (PA) and negative affect (NA) rather independently or as bipolar opposites. Here, we examine the proposition that the nature of the relation between positive and negative affect in a person's emotional experience is indicative of psychological well-being, in particular the experience of depressive symptoms, typically characterized by diminished positive affect (anhedonia) and increased negative affect (depressed mood). In three experience sampling studies, we examine how positive and negative affective states are related within people's emotional experience in daily life and how the degree of bipolarity of this relation is associated with depressive symptom severity. In Study 1 and 2, we show both concurrently and longitudinally that a stronger bipolar PA-NA relationship is associated with, and in fact is predicted by, higher depressive symptom severity, even after controlling for mean levels of positive and negative affect. In Study 3, we replicate these findings in a daily diary design, with the two conceptually related main symptoms of depression, sadness, and anhedonia, as specific manifestations of high NA and low PA, respectively. Across studies, additional analyses indicate these results are robust across different time scales and various PA and NA operationalizations and that affective bipolarity shows particular specificity toward depressive symptomatology, in comparison with anxiety symptoms. Together, these findings demonstrate that depressive symptoms involve stronger bipolarity between positive and negative affect, reflecting reduced emotional complexity and flexibility. (PsycINFO Database Record