Journal of Intelligence Article How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test Daniel V. Simonet 1,*, Katherine E. Miller 2 , Kevin L. Askew 1, Kenneth E. Sumner 1, Marcello Mortillaro 3 and Katja Schlegel 4 1 Department of Psychology, Montclair State University, Montclair, NJ 07043, USA;
[email protected] (K.L.A.);
[email protected] (K.E.S.) 2 Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, USA;
[email protected] 3 Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland;
[email protected] 4 Institute of Psychology, University of Bern, 3012 Bern, Switzerland;
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[email protected] 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 Citation: Simonet, Daniel V., predict criteria over general cognitive ability as referenced by fluid intelligence, and (c) emotion Katherine E. Miller, Kevin L. Askew, recognition and regulation incrementally predict grade point average (GPA) and affective engagement Kenneth E. Sumner, Marcello Mortillaro, and Katja Schlegel. 2021. in opposing directions, after controlling for fluid general ability and the Big Five personality traits.