ReviewJournal of Intelligence2023
Embracing the Emotion in Emotional Intelligence Measurement: Insights from Emotion Theory and Research.
Review in Journal of Intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Development and Validation of a Multimodal Emotion Recognition Ability Test Based on the Chinese Cultural Context.Journal of Intelligence · 2026Article
- Psychosocial Correlates of Physical Activity Engagement in University Students: A Systematic Review of Resilience and Emotional Processes.Healthcare (Basel, Switzerland) · 2026Review
- Anxiety and Emotional Intelligence as Predictors of Coping with Stress in Patients with Personality Disorders-A Single-Arm Pre-Post Observational Study.Journal of clinical medicine · 2026Article
- Emotional intelligence and its impact on the mental health of Chinese medical students: a questionnaire study.BMC medical education · 2026Article
- Artificial and emotional intelligence: two key forces for teachers' professional development in an era of uncertainty.Frontiers in psychology · 2026Review
- Large language models are proficient in solving and creating emotional intelligence tests.Communications psychology · 2025Article
- Improving the smart care service system for older adults: an emotional experience evaluation framework in the Chinese community.Frontiers in public health · 2025Article
- Effects of Physical Exercise on Emotional Intelligence from Birth to Adolescence: A Systematic Review Protocol.Healthcare (Basel, Switzerland) · 2024Article
- Exploring emotional intelligence in artificial intelligence systems: a comprehensive analysis of emotion recognition and response mechanisms.Annals of medicine and surgery (2012) · 2024Review
- Designing and evaluating tasks to measure individual differences in experimental psychology: a tutorial.Cognitive research: principles and implications · 2024Review
- Exploring Actual and Presumed Links between Accurately Inferring Contents of Other People's Minds and Prosocial Outcomes.Journal of Intelligence · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emotional intelligence (EI) has gained significant popularity as a scientific construct over the past three decades, yet its conceptualization and measurement still face limitations. Applied EI research often overlooks its components, treating it as a global characteristic, and there are few widely used performance-based tests for assessing ability EI. The present paper proposes avenues for advancing ability EI measurement by connecting the main EI components to models and theories from the emotion science literature and related fields. For emotion understanding and emotion recognition, we discuss the implications of basic emotion theory, dimensional models, and appraisal models of emotion for creating stimuli, scenarios, and response options. For the regulation and management of one's own and others' emotions, we discuss how the process model of emotion regulation and its extensions to interpersonal processes can inform the creation of situational judgment items. In addition, we emphasize the importance of incorporating context, cross-cultural variability, and attentional and motivational factors into future models and measures of ability EI. We hope this article will foster exchange among scholars in the fields of ability EI, basic emotion science, social cognition, and emotion regulation, leading to an enhanced understanding of the individual differences in successful emotional functioning and communication.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.