Psychometric properties of the Cambridge-Mindreading Face-Voice Battery for Children in children with ASD
| Autor: | Christian J. Rajnisz, Jonathan D. Rodgers, Christopher Lopata, Jennifer Lodi-Smith, Adam J. Booth, James P. Donnelly, Marcus L. Thomeer, Karl F. Kozlowski, Joseph T. Wood |
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| Rok vydání: | 2020 |
| Předmět: |
Psychometrics
Autism Spectrum Disorder media_common.quotation_subject Emotions Developmental psychology 03 medical and health sciences Nonverbal communication 0302 clinical medicine Social cognition Perception Intellectual disability medicine Humans 0501 psychology and cognitive sciences Child Genetics (clinical) media_common General Neuroscience 05 social sciences Reproducibility of Results medicine.disease Social relation Facial Expression Autism spectrum disorder Voice Autism Neurology (clinical) Psychology Facial Recognition 030217 neurology & neurosurgery 050104 developmental & child psychology |
| Zdroj: | Autism research : official journal of the International Society for Autism ResearchREFERENCES. 14(9) |
| ISSN: | 1939-3806 |
| Popis: | This study examined the psychometric characteristics of the Cambridge-Mindreading Face-Voice Battery for Children (CAM-C) for a sample of 333 children, ages 6-12 years with ASD (with no intellectual disability). Internal consistency was very good for the Total score (0.81 for both Faces and Voices) and respectable for the Complex emotions score (0.72 for Faces and 0.74 for Voices); however, internal consistency was lower for Simple emotions (0.65 for Faces and 0.61 for Voices). Test-retest reliability at 18 and 36 weeks was very good for the faces and voices total (0.76-0.81) and good for simple and complex faces and voices (0.53-0.75). Significant correlations were found between CAM-C Faces and scores on another measure of face-emotion recognition (Diagnostic Analysis of Nonverbal Accuracy-Second Edition), and between Faces and Voices scores and child age, IQ (except perceptual IQ and Simple Voice emotions), and language ability. Parent-reported ASD symptom severity and the Emotion Recognition scale on the SRS-2 were not related to CAM-C scores. Suggestions for future studies and further development of the CAM-C are provided. LAY SUMMARY: Facial and vocal emotion recognition are important for social interaction and have been identified as a challenge for individuals with autism spectrum disorder. Emotion recognition is an area frequently targeted by interventions. This study evaluated a measure of emotion recognition (the CAM-C) for its consistency and validity in a large sample of children with autism. The study found the CAM-C showed many strengths needed to accurately measure the change in emotion recognition during intervention. |
| Databáze: | OpenAIRE |
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