scholarly journals Emotional intelligence: A theoretical framework for individual differences in affective forecasting.

Emotion ◽  
2012 ◽  
Vol 12 (4) ◽  
pp. 716-725 ◽  
Author(s):  
Michael Hoerger ◽  
Benjamin P. Chapman ◽  
Ronald M. Epstein ◽  
Paul R. Duberstein
2005 ◽  
Vol 14 (6) ◽  
pp. 281-285 ◽  
Author(s):  
Peter Salovey ◽  
Daisy Grewal

This article provides an overview of current research on emotional intelligence. Although it has been defined in many ways, we focus on the four-branch model by Mayer and Salovey (1997) , which characterizes emotional intelligence as a set of four related abilities: perceiving, using, understanding, and managing emotions. The theory provides a useful framework for studying individual differences in abilities related to processing emotional information. Despite measurement obstacles, the evidence in favor of emotional intelligence is accumulating. Emotional intelligence predicts success in important domains, among them personal and work relationships.


2007 ◽  
Vol 33 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Elizabeth W. Dunn ◽  
Marc A. Brackett ◽  
Claire Ashton-James ◽  
Elyse Schneiderman ◽  
Peter Salovey

2020 ◽  
Vol 86 ◽  
pp. 103958
Author(s):  
Keri A. Pekaar ◽  
Dimitri van der Linden ◽  
Arnold B. Bakker ◽  
Marise Ph. Born

2014 ◽  
Vol 56 ◽  
pp. 34-39 ◽  
Author(s):  
Gilles E. Gignac ◽  
Alexia Karatamoglou ◽  
Sabrina Wee ◽  
Gabriela Palacios

2011 ◽  
Vol 14 (6) ◽  
pp. 539-543 ◽  
Author(s):  
Holly M. Baughman ◽  
Sara Schwartz ◽  
Julie Aitken Schermer ◽  
Livia Veselka ◽  
K. V. Petrides ◽  
...  

The present study is the first to examine relationships between alexithymia and trait emotional intelligence (trait EI or trait emotional self-efficacy) at the phenotypic, genetic, and environmental levels. The study was also conducted to resolve inconsistencies in previous twin studies that have provided estimates of the extent to which genetic and environmental factors contribute to individual differences in alexithymia. Participants were 216 monozygotic and 45 dizygotic same-sex twin pairs who completed the Toronto Alexithymia Scale-20. In a pilot study, a sub-sample of 118 MZ and 27 DZ pairs also completed the Trait Emotional Intelligence Questionnaire. Results demonstrated that a combination of genetic and non-shared environmental influences contribute to individual differences in alexithymia. As expected, alexithymia and trait EI were negatively correlated at the phenotypic level. Bivariate behavioral genetic analyses showed that that all but one of these correlations was primarily attributable to correlated genetic factors and secondarily to correlated non-shared environmental factors.


2010 ◽  
Vol 21 (03) ◽  
pp. 163-168 ◽  
Author(s):  
Edward T. Auer

Background: The visual speech signal can provide sufficient information to support successful communication. However, individual differences in the ability to appreciate that information are large, and relatively little is known about their sources. Purpose: Here a body of research is reviewed regarding the development of a theoretical framework in which to study speechreading and individual differences in that ability. Based on the hypothesis that visual speech is processed via the same perceptual-cognitive machinery as auditory speech, a theoretical framework was developed by adapting a theoretical framework originally developed for auditory spoken word recognition. Conclusion: The evidence to date is consistent with the conclusion that visual spoken word recognition is achieved via a process similar to auditory word recognition provided differences in perceptual similarity are taken into account. Words perceptually similar to many other words and that occur infrequently in the input stream are at a distinct disadvantage within this process. The results to date are also consistent with the conclusion that deaf individuals, regardless of speechreading ability, recognize spoken words via a process similar to individuals with hearing.


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