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Emotion differentiation dissected : between-category, within-category, and integral emotion differentiation, and their relation to well-being

(2019) COGNITION & EMOTION. 33(2). p.258-271
Author
Organization
Abstract
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.
Keywords
TORONTO-ALEXITHYMIA-SCALE, PERSONALITY, EXPOSURE, Emotion differentiation, emotional granularity, emotion categories, emotion knowledge, well-being

Citation

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MLA
Erbas, Yasemin, et al. “Emotion Differentiation Dissected : Between-Category, within-Category, and Integral Emotion Differentiation, and Their Relation to Well-Being.” COGNITION & EMOTION, vol. 33, no. 2, 2019, pp. 258–71, doi:10.1080/02699931.2018.1465894.
APA
Erbas, Y., Ceulemans, E., Blanke, E. S., Sels, L., Fischer, A., & Kuppens, P. (2019). Emotion differentiation dissected : between-category, within-category, and integral emotion differentiation, and their relation to well-being. COGNITION & EMOTION, 33(2), 258–271. https://doi.org/10.1080/02699931.2018.1465894
Chicago author-date
Erbas, Yasemin, Eva Ceulemans, Elisabeth S. Blanke, Laura Sels, Agneta Fischer, and Peter Kuppens. 2019. “Emotion Differentiation Dissected : Between-Category, within-Category, and Integral Emotion Differentiation, and Their Relation to Well-Being.” COGNITION & EMOTION 33 (2): 258–71. https://doi.org/10.1080/02699931.2018.1465894.
Chicago author-date (all authors)
Erbas, Yasemin, Eva Ceulemans, Elisabeth S. Blanke, Laura Sels, Agneta Fischer, and Peter Kuppens. 2019. “Emotion Differentiation Dissected : Between-Category, within-Category, and Integral Emotion Differentiation, and Their Relation to Well-Being.” COGNITION & EMOTION 33 (2): 258–271. doi:10.1080/02699931.2018.1465894.
Vancouver
1.
Erbas Y, Ceulemans E, Blanke ES, Sels L, Fischer A, Kuppens P. Emotion differentiation dissected : between-category, within-category, and integral emotion differentiation, and their relation to well-being. COGNITION & EMOTION. 2019;33(2):258–71.
IEEE
[1]
Y. Erbas, E. Ceulemans, E. S. Blanke, L. Sels, A. Fischer, and P. Kuppens, “Emotion differentiation dissected : between-category, within-category, and integral emotion differentiation, and their relation to well-being,” COGNITION & EMOTION, vol. 33, no. 2, pp. 258–271, 2019.
@article{8688915,
  abstract     = {{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.}},
  author       = {{Erbas, Yasemin and Ceulemans, Eva and Blanke, Elisabeth S. and Sels, Laura and Fischer, Agneta and Kuppens, Peter}},
  issn         = {{0269-9931}},
  journal      = {{COGNITION & EMOTION}},
  keywords     = {{TORONTO-ALEXITHYMIA-SCALE,PERSONALITY,EXPOSURE,Emotion differentiation,emotional granularity,emotion categories,emotion knowledge,well-being}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{258--271}},
  title        = {{Emotion differentiation dissected : between-category, within-category, and integral emotion differentiation, and their relation to well-being}},
  url          = {{http://dx.doi.org/10.1080/02699931.2018.1465894}},
  volume       = {{33}},
  year         = {{2019}},
}

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