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自闭症谱系障碍儿童的剑桥心理解读面孔-声音电池的心理计量特性。

Psychometric properties of the Cambridge-Mindreading Face-Voice Battery for Children in children with ASD.

机构信息

Institute for Autism Research, Canisius College, Buffalo, New York, USA.

出版信息

Autism Res. 2021 Sep;14(9):1965-1974. doi: 10.1002/aur.2546. Epub 2021 Jun 4.

Abstract

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.

摘要

本研究对剑桥读脸识音儿童测验(CAM-C)在一个包括 333 名年龄在 6-12 岁,无智力障碍的自闭症儿童的样本中的心理测量学特征进行了检验。对于总得分,内部一致性非常好(面孔和声音的得分均为 0.81),对于复杂情绪得分,一致性也较好(面孔为 0.72,声音为 0.74);然而,对于简单情绪的内部一致性较低(面孔为 0.65,声音为 0.61)。18 周和 36 周时的面孔和声音总分的重测信度非常好(0.76-0.81),简单和复杂的面孔和声音的重测信度也较好(0.53-0.75)。CAM-C 面孔与另一项面孔情绪识别测试(第二代非言语准确性诊断分析)的得分之间存在显著相关性,并且面孔和声音得分与儿童年龄、智商(感知智商和简单声音情绪除外)以及语言能力之间存在相关性。父母报告的自闭症症状严重程度和 SRS-2 上的情绪识别量表与 CAM-C 得分无关。为未来的研究和 CAM-C 的进一步发展提供了建议。

非专业人士译文

面部和声音情绪识别对于社交互动很重要,并且已经被确定为自闭症谱系障碍患者的一个挑战。情绪识别是干预的一个常见目标。本研究评估了一种情绪识别测量工具(CAM-C)在一个大型自闭症儿童样本中的一致性和有效性。该研究发现,CAM-C 在准确测量干预期间情绪识别的变化方面具有许多优势。

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