Thesis (9.3 MB) - 
Free access
Highlights
Doctoral Thesis
unige:28546 
 |
Improving the measurement of emotion recognition ability |
|
| Author | ||
| Directors | ||
| Defense | Thèse de doctorat : Univ. Genève, 2013 - FPSE 537 - 2013/05/28 | |
| Abstract | The ability to recognize other people's emotions from their face, voice, and body (emotion recognition ability, ERA) is crucial to successful functioning in private and professional life. However, currently available tests to measure this ability are of limited ecological validity and their psychometric quality is unclear. In this thesis, I contributed to the field of ERA by developing and validating a new test based on short videos with sound representing a large number of emotions (Geneva Emotion Recognition Test, GERT). Results supported the satisfactory psychometric quality, construct and predictive validity of the GERT. Specifically, the GERT was a more consistent predictor of participants' performance in dyadic negotiation than standard measures of emotional and cognitive intelligence. Moreover, I showed that ERA is an essentially unidimensional ability across emotions and modalities, and that it is meaningfully related to a wide range of other constucts related to social and emotional effectiveness. | |
| Keywords | Emotion recognition — Emotional intelligence — Individual differences — Assessment — Test development — Item Response Theory — Factor analysis — Emotion — Social skills | |
| Identifiers | URN: urn:nbn:ch:unige-285469 | |
| Full text | ||
| Structures | ||
| Research group | Affective sciences | |
| Citation (ISO format) | SCHLEGEL, Katja. Improving the measurement of emotion recognition ability. Université de Genève. Thèse, 2013. doi: 10.13097/archive-ouverte/unige:28546 https://archive-ouverte.unige.ch/unige:28546 |
1129 hits 
1270 downloads 
Contact an author
Update