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Related Experiment Video

Updated: Oct 9, 2025

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

Published on: June 29, 2016

Emotional Intelligence Measures: A Systematic Review.

Lluna María Bru-Luna¹, Manuel Martí-Vilar¹, César Merino-Soto²

¹Department of Basic Psychology, Faculty of Psychology and Speech Therapy, Universitat de València, 46010 Valencia, Spain.

Healthcare (Basel, Switzerland)

|December 24, 2021

Summary

Emotional intelligence (EI) assessments are crucial for professionals facing emotional demands. This review analyzes 40 EI instruments, detailing their models, psychometric properties, and common measures like the EQ-i and MSCEIT 2.0.

Keywords:

emotional intelligence measure questionnaire scale systematic review test

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Last Updated: Oct 9, 2025

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Area of Science:

Psychology
Occupational Health
Measurement Science

Background:

Emotional intelligence (EI) may mitigate emotional burdens in demanding professions.
Assessing EI is vital for understanding professional well-being and performance.
Existing EI assessment tools vary in conceptualization and measurement approaches.

Purpose of the Study:

To systematically review and describe instruments for assessing EI in professionals.
To evaluate the psychometric properties, specifically reliability and validity, of these EI measures.
To provide an updated overview of EI assessment tools for professional contexts.

Main Methods:

Systematic literature search conducted in the Web of Science database.
Analysis of 40 distinct instruments for measuring emotional intelligence.
Categorization of instruments based on underlying EI models (skill-based, trait-based, mixed).

Main Results:

Forty EI instruments were identified, categorized by skill-based, trait-based, or mixed models.
Commonly reported instruments include EQ-i, SSRI, MSCEIT 2.0, TMMS, WLEIS, and TEIQue.
Reliability primarily assessed via internal consistency; measurement construction often used classical test theory.

Conclusions:

Diverse EI instruments exist, each with unique strengths and weaknesses.
Understanding instrument characteristics is key for appropriate selection in professional settings.
Further research should address limitations such as single-database searches and inter-rater reliability.