How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test.
How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test.
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DOI:
10.3390/jintelligence9010014
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发表时间:
2021-03-05
影响因子:
3.5
通讯作者:
Schlegel K
中科院分区:
文献类型:
--
作者:
Simonet DV;Miller KE;Askew KL;Sumner KE;Mortillaro M;Schlegel K
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.
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DOI:
10.1177/1754073915580601
发表时间:
2016-07
期刊:
Emotion review : journal of the International Society for Research on Emotion
影响因子:
--
作者:
Castro VL;Cheng Y;Halberstadt AG;Grühn D
通讯作者:
Grühn D
影响因子:
4.2
作者:
Baenziger, Tanja;Mortillaro, Marcello;Scherer, Klaus R.
通讯作者:
Scherer, Klaus R.
影响因子:
6.1
作者:
Cote, Stephane;Hideg, Ivona
通讯作者:
Hideg, Ivona
影响因子:
4
作者:
Cabello, Rosario;Sorrel, Miguel A.;Fernandez-Berrocal, Pablo
通讯作者:
Fernandez-Berrocal, Pablo
影响因子:
6.8
作者:
Desimone, Justin A.;Harms, P. D.;Desimone, Alice J.
通讯作者:
Desimone, Alice J.