School of Educational Science, Anhui Normal University, Wuhu, Anhui province, China.
School of Educational Science, Anhui Normal University, Wuhu, Anhui province, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
Asian J Psychiatr. 2023 Jun;84:103580. doi: 10.1016/j.ajp.2023.103580. Epub 2023 Apr 10.
The current study aims to provide psychometric analyses of a shortened version of the Comprehensive Autistic Trait Inventory (CATI) from three different samples administered to 4910 Chinese populations (56.864 % females, mean age 19.857 ± 4.083) aged 14-56. The factor structure of CATI in Chinese was examined by confirmatory factor analysis and exploratory structural equation modeling, and a 24-item Chinese version short form of CATI (CATI-SF-C) was developed. The validity (structure validity, convergent validity, and discriminant validity) and reliability (internal consistency and test-retest reliability) were evaluated, and the predictive ability for classifying autism was examined (Youden's Index = 0.690). According to these findings, the CATI-SF-C is a reliable and valid autistic traits assessment tool for the general population.
本研究旨在提供经过三个不同样本验证的综合自闭症特质量表(CATI)的简短版本的心理计量学分析,样本共包含 4910 名中国被试(女性占 56.864%,平均年龄 19.857±4.083 岁),年龄范围为 14 至 56 岁。通过验证性因子分析和探索性结构方程建模,检验了 CATI 在中文中的因子结构,并开发了 24 项中文短版 CATI(CATI-SF-C)。评估了其有效性(结构有效性、聚合有效性和区分有效性)和可靠性(内部一致性和重测信度),并检验了其对自闭症分类的预测能力(约登指数=0.690)。根据这些发现,CATI-SF-C 是一种可靠和有效的一般人群自闭症特质评估工具。