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August 18, 2026
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Are emotionally intelligent people more emotionally stable? An experience sampling study

Psychology. Journal of the Higher School of Economics. 2020. Vol. 17. No. 2. P. 315–327.
Lyusin D., Mohammed A.

The temporal dynamic characteristics of mood play an important role in various aspects of our lives,
including our psychological health and well-being. It is assumed that individuals with high emotional
intelligence (EI) are characterized by more positive and stable moods. However, most studies analyze
how EI is related to emotional traits or momentary assessments of mood, hence not much is known
about the relationship of EI to mood dynamics. The present study aimed at answering the following
questions: How are dynamic characteristics of mood related to each other? To what extent are they independent?
Which aspects of EI are related to particular characteristics of mood dynamics? Participants
filled out an EI questionnaire and then reported their mood three times daily for two weeks. Mean mood
scores calculated across all measurement points were regarded as static characteristics showing a mood
background typical for the participant. Also, three dynamic characteristics of mood were calculated,
namely variability, instability, and inertia. Mood variability and instability have been found to be very
closely related to each other but not to inertia. Higher EI is related to more enduring mood states, i.e.,
higher mood inertia and a higher stability of the tension dimension of mood. Unlike previous studies that
measured only static mood characteristics, no relationship between higher EI and positive mood have
been found. Some aspects of EI were related to the inertia of negative and positive moods. The results
show that experience sampling provides new insights on the role of EI in mood.

Research target: Psychology
Language: English
Full text
DOI
Keywords: настроениеэмоциональный интеллект moodmood dynamicsmood variabilitymood instabilitymood inertia emotional intelligenceдинамика настроений
Publication based on the results of:
The interaction between the bottom-up and top-down streams of information processing in cognitive task performance (2020)
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