For example, in the popular four-branch EI model by Mayer and Salovey ( 1997), ERA is considered the most basic branch underlying more complex skills like emotional understanding (knowledge about relationships between emotions and situations) or Emotion Management (the regulation of one’s own and others’ emotions). More recently, ERA has been proposed as an essential component of emotional intelligence (EI) or emotional competence (EC for a review, see Roberts, MacCann, Matthews, & Zeidner, 2010 Scherer, 2007). Individual differences in people’s emotion recognition (ERA) have been studied for several decades in different domains of psychology, such as social, organizational, clinical, and developmental psychology. In particular, the ability to accurately detect and interpret emotional expressions in another person helps anticipating his or her actions, adapting one’s own actions accordingly, and consequently, promoting effective interpersonal behavior (McArthur & Baron, 1983). The communication of emotions through nonverbal cues expressed in the face, voice, and body is a crucial element of everyday interpersonal interactions. 10 min) and its possible administration via different online platforms, the GERT-S can easily be integrated by researchers into their own studies. Given the brief test-taking time (approx. It is available, free of charge and in seven different languages, for academic research use. Taken together, the present studies demonstrate the usefulness of the GERT-S as an instrument for the brief and reliable assessment of ERA. Furthermore, the GERT-S was substantially positively correlated with other ERA tests, with tests of emotional understanding and emotion management, and with cognitive ability. The results show that the GERT-S is a unidimensional test with good internal consistency. This article introduces the short version of the Geneva Emotion Recognition Test (the GERT-S), and presents two studies (total N = 425) that examine the internal consistency, factor structure, and convergent and discriminant validity of the test. Recently, Schlegel, Grandjean, and Scherer ( Psychological Assessment, 26, 666–672, 2014) published a new test that measures ERA in a more comprehensive fashion, by (1) including a wide range of 14 positive and negative emotions and (2) using video clips with sound that simultaneously present facial, vocal, and bodily emotional cues. To date, emotion recognition ability (ERA) has mostly been measured with tests that heavily rely on static pictures of the face and on few emotions, restricting their content validity. The ability to accurately interpret others’ emotional expressions in the face, voice, and body is a crucial component of successful social functioning and has been shown to predict better outcomes in private and professional life.
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