期刊
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
卷 44, 期 7, 页码 1565-1576出版社
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10803-013-2024-3
关键词
Autism spectrum conditions; Categorical data factor analysis; Item response theory; CAST; China
资金
- MRC [MC_U105292687, G0600977] Funding Source: UKRI
- Medical Research Council [G0600977, MC_U105292687] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0611-10084] Funding Source: researchfish
- Medical Research Council [MC_U105292687, G0600977] Funding Source: Medline
- Wellcome Trust [091774] Funding Source: Medline
Limited studies have investigated the latent autistic traits in the mainland Chinese population for autism spectrum conditions (ASC). This study explored the psychometric properties of a Mandarin Chinese version of the CAST in a sample consisting of 737 children in mainstream schools and 50 autistic cases. A combination of categorical data factor analysis and item response theory suggested a good-fit model of a two-factor solution for 28 items on the Mandarin CAST including social and communication, and inflexible/stereotyped language and behaviours (Goodness-of-fit indices: RMSEA = 0.029, CFI = 0.957, TLI = 0.950, SRMR = 0.064). The correlation between the two factors was moderate (GFC = 0.425). This study provided evidence for the CAST as a multidimensional measure for ASC screening in a Chinese population and also showed that the symptom manifestation of ASC in Chinese children shares similarity with western populations.
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