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Updated: Jul 25, 2025

Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood
Published on: February 11, 2017
Emotional Intelligence as Evaluative Activity: Theory, Findings, and Future Directions
Michael D Robinson1, Muhammad R Asad1, Roberta L Irvin1
1Department of Psychology, North Dakota State University, Dept. 2765, P.O. Box 6050, Fargo, ND 58108-6050, USA.
Emotional intelligence (EI) involves evaluating meaning, which predicts life outcomes. High EI individuals show more decisive evaluations and bipolar affect experiences.
Area of Science:
- Psychology
- Emotional Intelligence Research
Background:
- Ability-related emotional intelligence (EI) research has focused on outcomes rather than its composition.
- The evaluation dimension of meaning, drawing from attitude and emotion literature, is proposed as key to understanding ability EI.
- Existing research links ability EI to attitudinal processes, including attitude-behavior relationships and affective bipolarity.
Purpose of the Study:
- To explore the role of the evaluation dimension of meaning in ability EI.
- To investigate how ability EI relates to attitudinal processes and affective experiences.
- To propose new research directions for the ability EI construct.
Main Methods:
- Reviewing literature on attitudes, emotions, and ability EI.
- Examining measures of ability EI and their correlation with word evaluation accuracy.
- Analyzing data linking ability EI to attitudinal processes and affective bipolarity.
Main Results:
- Measures of ability EI predict individuals' accuracy in evaluating words.
- Word evaluation accuracy serves as a measure of emotional intelligence.
- High EI is associated with experiencing affect in more bipolar terms and greater decisiveness in evaluations.
Conclusions:
- The evaluation dimension of meaning is crucial for understanding ability EI.
- Ability EI influences attitudinal processes, affecting decision-making and emotional experience.
- Further research linking ability EI to attitudinal processes can generate novel predictions.
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