Title |
Recognition of Emotions in Autism: A Formal Meta-Analysis
|
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Published in |
Journal of Autism and Developmental Disorders, November 2012
|
DOI | 10.1007/s10803-012-1695-5 |
Pubmed ID | |
Authors |
Mirko Uljarevic, Antonia Hamilton |
Abstract |
Determining the integrity of emotion recognition in autistic spectrum disorder is important to our theoretical understanding of autism and to teaching social skills. Previous studies have reported both positive and negative results. Here, we take a formal meta-analytic approach, bringing together data from 48 papers testing over 980 participants with autism. Results show there is an emotion recognition difficulty in autism, with a mean effect size of 0.80 which reduces to 0.41 when a correction for publication bias is applied. Recognition of happiness was only marginally impaired in autism, but recognition of fear was marginally worse than recognition of happiness. This meta-analysis provides an opportunity to survey the state of emotion recognition research in autism and to outline potential future directions. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 18% |
Netherlands | 1 | 9% |
Australia | 1 | 9% |
France | 1 | 9% |
Algeria | 1 | 9% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Scientists | 3 | 27% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | <1% |
United States | 4 | <1% |
Germany | 3 | <1% |
Australia | 2 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Chile | 1 | <1% |
India | 1 | <1% |
Other | 3 | <1% |
Unknown | 837 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 155 | 18% |
Student > Ph. D. Student | 149 | 17% |
Student > Bachelor | 114 | 13% |
Researcher | 70 | 8% |
Student > Doctoral Student | 70 | 8% |
Other | 137 | 16% |
Unknown | 165 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 370 | 43% |
Neuroscience | 55 | 6% |
Social Sciences | 46 | 5% |
Medicine and Dentistry | 38 | 4% |
Computer Science | 35 | 4% |
Other | 112 | 13% |
Unknown | 204 | 24% |