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

Saved in:
Bibliographic Details
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 0000-0003-1108-2630), Askew, Kevin L., Sumner, Kenneth E., Mortillaro, Marcello (ORCID 0000-0002-1785-6732), Schlegel, Katja
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
Header DbId: eric
DbLabel: ERIC
An: EJ1313156
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1