Ability EI as an intelligence? Associations of the MSCEIT with performance on emotion processing and social tasks and with cognitive ability

Farrelly, Daniel; Austin, Elizabeth

doi:10.1080/02699930601069404

Cited by 87 publications

(100 citation statements)

References 38 publications

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“…The MSCEIT places emphasis on the perception of relatively subtle expressions, less on the decoding of overt expressions in a social context. Moreover, there is evidence that the MSCEIT facial emotion perception section is more closely related to intrapersonal cognitive abilities (Farrelly & Austin, 2007) and hence may not assess the same proximal emotion decoding ability relevant for social interaction contexts as does our test. Importantly, because the MSCEIT may reflect culturally shared biases, our results suggest that the negative impact of perceiving more noise on interaction quality is not due to biases that are shared within one culture, but rather due to individual perceptive styles.…”

Section: Discussionmentioning

confidence: 97%

Signal and Noise in the Perception of Facial Emotion Expressions

Heß

Kafetsios

Mauersberger

et al. 2016

Pers Soc Psychol Bull

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Human interactions are replete with emotional exchanges, and hence, the ability to decode others' emotional expressions is of great importance. The present research distinguishes between the emotional signal (the intended emotion) and noise (perception of secondary emotions) in social emotion perception and investigates whether these predict the quality of social interactions. In three studies, participants completed laboratory-based assessments of emotion recognition ability and later reported their perceptions of naturally occurring social interactions. Overall, noise perception in the recognition task was associated with perceiving more negative emotions in others and perceiving interactions more negatively. Conversely, signal perception of facial emotion expressions was associated with higher quality in social interactions. These effects were moderated by relationship closeness in Greece but not in Germany. These findings suggest that emotion recognition as assessed in the laboratory is a valid predictor of social interaction quality. Thus, emotion recognition generalizes from the laboratory to everyday life.

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Section: Discussionmentioning

confidence: 97%

Signal and Noise in the Perception of Facial Emotion Expressions

Heß

Kafetsios

Mauersberger

et al. 2016

Pers Soc Psychol Bull

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show abstract

“…Still on a more fundamental level, researchers also question the convergent validity of the MSCEIT. For example, the perceiving branch does not correlate with established measures of emotion perception (Austin, 2010;Farrelly & Austin, 2007;Roberts, Zeidner, & Matthews, 2006).…”

Section: In Search Of the Elusive Ei Ability Measurementioning

confidence: 99%

“…Fiori, 2009). Laboratory tasks that require processing of emotional information, such as those involving priming or managing different emotional information at the same time, may be useful (e.g., Austin, 2005;Farrelly & Austin 2007). Individual differences in performance on the laboratory task, such as reaction time and/or speed of processing, would be used as predictors of how the person reacts in situations that require being able to manage emotions (Fiori, 2010).…”

Section: Measuring Ei As An Ability: In Search Of Alternative Testsmentioning

confidence: 99%

The ability model of emotional intelligence: Searching for valid measures

Fiori

Antonakis

2011

Personality and Individual Differences

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"In press" Personality and Individual Differences 2 The ability model of emotional intelligence: Searching for valid measuresCurrent measures of ability emotional intelligence (EI)-in particular the well-known MayerSalovey-Caruso Emotional Intelligence Test (MSCEIT)--suffer from several limitations, including low discriminant validity and questionable construct and incremental validity. We show that the MSCEIT is largely predicted by personality dimensions, general intelligence, and demographics having multiple R's with the MSCEIT branches up to .66; for the general EI factor this relation was even stronger (Multiple R = .76). As concerns the factor structure of the MSCEIT, we found support for four first-order factors, which had differential relations with personality, but no support for a higher-order global EI factor. We discuss implications for employing the MSCEIT, including (a) using the single branches scores rather than the total score, (b) always controlling for personality and general intelligence to ensure unbiased parameter estimates in the EI factors, and (c) correcting for measurement error. Failure to account for these methodological aspects may severely compromise predictive validity testing. We also discuss avenues for the improvement of ability-based tests.

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“…Conceived as a form of intelligence (Mayer, Caruso, & Salovey, 1999) AEI is moderately associated (ordinarily to the magnitude of r ≤ .4) with measures of (crystallised) cognitive ability or proxies thereof, in both adult (e.g., Brackett & Mayer, 2003;Farrelly & Austin, 2007) and youth samples (e.g., Peters, Kranzler, & Rossen, 2009). Conversely, relationships between AEI and measures of personality are typically negligible, with the most robust associations (r ≤ .3) generally found for trait agreeableness and openness (e.g., Zeidner & Olnick-Shemesh, 2010).…”

Section: Introductionmentioning

confidence: 99%

Emotional intelligence predicts adolescent mental health beyond personality and cognitive ability

Davis

Humphrey

2012

Personality and Individual Differences

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Emotional intelligence (EI) has been reliably linked to better mental health (Martins, Ramalho, & Morin, 2010). However, critics have argued that EI may be conceptually redundant and unable to offer anything new to the prediction of key adaptational outcomes beyond known correlates of performance, i.e., personality and cognitive ability (Brody, 2004). Although sparse, extant evidence points to differential incremental contributions from ability and trait EI in the prediction of internalising vs. externalising symptomotology in adults (e.g., Gardner & Qualter, 2010;. However, there is a dearth of research addressing these associations in adolescents. The current study explored the incremental validity of ability and trait EI to predict depression and disruptive behaviour beyond the 'Big Five' personality dimensions and general cognitive ability in a sample of 499 adolescents (mean age 13.02 years). Regression analyses found that collectively, EI made a significant, incremental contribution to the prediction of disorder in youth. However, of the two, trait EI appears the stronger predictor. Findings are discussed with reference to EI theory and directions for future research.

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Ability EI as an intelligence? Associations of the MSCEIT with performance on emotion processing and social tasks and with cognitive ability

Cited by 87 publications

References 38 publications

Signal and Noise in the Perception of Facial Emotion Expressions

Signal and Noise in the Perception of Facial Emotion Expressions

The ability model of emotional intelligence: Searching for valid measures

Emotional intelligence predicts adolescent mental health beyond personality and cognitive ability

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