How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test
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| Title: | How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test |
|---|---|
| Authors: | Simonet, Daniel V., Miller, Katherine E. (ORCID |
| Source: | Journal of Intelligence. 2021 9. |
| Availability: | MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. e-mail: indexing@mdpi.com; e-mail: jintelligence@mdpi.com; Web site: https://www.mdpi.com/journal/jintelligence |
| Peer Reviewed: | Y |
| Page Count: | 31 |
| Publication Date: | 2021 |
| Sponsoring Agency: | US Department of Veterans Affairs, Veterans Health Administration (VHA) |
| Contract Number: | IK2CX00187401A1 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Emotional Intelligence, Intelligence Tests, Self Control, Psychometrics, Prediction, Emotional Adjustment, Models, Metacognition, Grade Point Average, Emotional Response, Recognition (Psychology), Personality Traits, Scores, Personality Measures, Well Being, Factor Analysis |
| Assessment and Survey Identifiers: | Raven Advanced Progressive Matrices |
| ISSN: | 2079-3200 |
| 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. |
| Abstractor: | As Provided |
| Entry Date: | 2021 |
| Accession Number: | EJ1313156 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1313156 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1313156 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Simonet%2C+Daniel+V%2E%22">Simonet, Daniel V.</searchLink><br /><searchLink fieldCode="AR" term="%22Miller%2C+Katherine+E%2E%22">Miller, Katherine E.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1108-2630">0000-0003-1108-2630</externalLink>)<br /><searchLink fieldCode="AR" term="%22Askew%2C+Kevin+L%2E%22">Askew, Kevin L.</searchLink><br /><searchLink fieldCode="AR" term="%22Sumner%2C+Kenneth+E%2E%22">Sumner, Kenneth E.</searchLink><br /><searchLink fieldCode="AR" term="%22Mortillaro%2C+Marcello%22">Mortillaro, Marcello</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1785-6732">0000-0002-1785-6732</externalLink>)<br /><searchLink fieldCode="AR" term="%22Schlegel%2C+Katja%22">Schlegel, Katja</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Intelligence%22"><i>Journal of Intelligence</i></searchLink>. 2021 9. – Name: Avail Label: Availability Group: Avail Data: MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. e-mail: indexing@mdpi.com; e-mail: jintelligence@mdpi.com; Web site: https://www.mdpi.com/journal/jintelligence – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 31 – Name: DatePubCY Label: Publication Date Group: Date Data: 2021 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: US Department of Veterans Affairs, Veterans Health Administration (VHA) – Name: NumberContract Label: Contract Number Group: NumCntrct Data: IK2CX00187401A1 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Emotional+Intelligence%22">Emotional Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligence+Tests%22">Intelligence Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Control%22">Self Control</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction%22">Prediction</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+Adjustment%22">Emotional Adjustment</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Metacognition%22">Metacognition</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+Point+Average%22">Grade Point Average</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+Response%22">Emotional Response</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+Traits%22">Personality Traits</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+Measures%22">Personality Measures</searchLink><br /><searchLink fieldCode="DE" term="%22Well+Being%22">Well Being</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+Analysis%22">Factor Analysis</searchLink> – Name: SubjectThesaurus Label: Assessment and Survey Identifiers Group: Su Data: <searchLink fieldCode="SU" term="%22Raven+Advanced+Progressive+Matrices%22">Raven Advanced Progressive Matrices</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2079-3200 – Name: Abstract Label: Abstract Group: Ab Data: 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2021 – Name: AN Label: Accession Number Group: ID Data: EJ1313156 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1313156 |
| RecordInfo | BibRecord: BibEntity: PhysicalDescription: Pagination: PageCount: 31 Subjects: – SubjectFull: Emotional Intelligence Type: general – SubjectFull: Intelligence Tests Type: general – SubjectFull: Self Control Type: general – SubjectFull: Psychometrics Type: general – SubjectFull: Prediction Type: general – SubjectFull: Emotional Adjustment Type: general – SubjectFull: Models Type: general – SubjectFull: Metacognition Type: general – SubjectFull: Grade Point Average Type: general – SubjectFull: Emotional Response Type: general – SubjectFull: Recognition (Psychology) Type: general – SubjectFull: Personality Traits Type: general – SubjectFull: Scores Type: general – SubjectFull: Personality Measures Type: general – SubjectFull: Well Being Type: general – SubjectFull: Factor Analysis Type: general – SubjectFull: Raven Advanced Progressive Matrices Type: general Titles: – TitleFull: How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Simonet, Daniel V. – PersonEntity: Name: NameFull: Miller, Katherine E. – PersonEntity: Name: NameFull: Askew, Kevin L. – PersonEntity: Name: NameFull: Sumner, Kenneth E. – PersonEntity: Name: NameFull: Mortillaro, Marcello – PersonEntity: Name: NameFull: Schlegel, Katja IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 2079-3200 Numbering: – Type: volume Value: 9 Titles: – TitleFull: Journal of Intelligence Type: main |
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