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Updated: Jul 14, 2026

Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood
Published on: February 11, 2017
Individual differences in core affect variability and their relationship to personality and psychological adjustment
Peter Kuppens1, Iven Van Mechelen, John B Nezlek
1Department of Psychology, Katholieke Universiteit Leuven, Leuven, Belgium. peter.kuppens@psy.kuleuven.be
Individual differences in how feelings change over time, or affective variability, are linked to personality traits. Lower affective variability correlates with higher self-esteem and agreeableness, while higher variability is linked to neuroticism and depression.
Area of Science:
- Psychology
- Affective Science
- Individual Differences
Background:
- Human emotions fluctuate over time, forming trajectories in a core affect space (valence and activation).
- Understanding individual differences in these affective trajectories (affective variability) is crucial for psychological well-being.
Purpose of the Study:
- To analyze individual differences in within-person affective variability.
- To introduce novel conceptualizations of affective variability.
- To examine the relationship between affective variability and personality traits.
Main Methods:
- Two studies collected multiple self-report data points on core affect over time.
- Derived characteristics of core affect trajectories, including 'spin' (qualitative feeling diversity).
- Correlated variability measures with trait measures (e.g., personality, self-esteem, depression).
Main Results:
- Affective variability was negatively related to average valence, self-esteem, and agreeableness.
- Affective variability was positively related to neuroticism and depression.
- 'Spin' showed more consistent relations to adjustment and personality than other variability measures.
Conclusions:
- Affective variability is a meaningful individual difference.
- Specific patterns of affective change are linked to psychological adjustment and personality traits.
- 'Spin' offers a promising measure for understanding affective dynamics and their relation to well-being.
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