Evidence map›Paper›PMID 33807593›Full record

ArticleJournal of Intelligence2021

How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test.

Daniel V Simonet, Katherine E Miller, Kevin L Askew, Kenneth E Sumner, Marcello Mortillaro, Katja Schlegel

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In one paragraph

Article in Journal of Intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Daniel V SimonetDepartment of Psychology, Montclair State University, Montclair, NJ 07043, USA.
Katherine E MillerMental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, USA.ORCID 0000-0003-1108-2630
Kevin L AskewDepartment of Psychology, Montclair State University, Montclair, NJ 07043, USA.
Kenneth E SumnerDepartment of Psychology, Montclair State University, Montclair, NJ 07043, USA.
Marcello MortillaroSwiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland.ORCID 0000-0002-1785-6732
Katja SchlegelInstitute of Psychology, University of Bern, 3012 Bern, Switzerland.

Funding

CSRD VA IK2 CX001874
6 · The paper itself

Abstract

Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we find that (a) a first-order oblique and bifactor model provide excellent and comparably fitting representation of an EI structure with self-regulatory skills operating independent of general ability, (b) residualized EI abilities uniquely predict criteria over general cognitive ability as referenced by fluid intelligence, and (c) emotion recognition and regulation incrementally predict grade point average (GPA) and affective engagement in opposing directions, after controlling for fluid general ability and the Big Five personality traits. Results are qualified by psychometric analyses suggesting only emotion regulation has enough determinacy and reliable variance beyond a general ability factor to be treated as a manifest score in analyses and interpretation. Findings call for renewed, albeit tempered, research on EI as a multidimensional intelligence and highlight the need for refined assessment of emotional perception, understanding, and management to allow focused analyses of different EI abilities.

Indexed as

Cattell-Horn-Carroll (CHC) theoryemotional intelligenceGeneva Emotional Competence Test (GECo)multidimensionalityS-1 Bifactor Modeling

Identifiers

PMID33807593
PMCPMC8006218

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Registered trials

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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.