ArticlePsychology research and behavior management2023
Psychometric Properties of the Chinese Version of the Comprehensive Autistic Trait Inventory.
Article in Psychology research and behavior management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The Utility of the Five Factor Model of Personality as an Organizing Framework for Autism-Related Traits.Assessment · 2026Article
- The double-edged sword of autistic traits: opposing pathways to loneliness via friendship similarity in Chinese adults.Frontiers in psychology · 2026Article
- Investigating the psychometric properties of the Persian version of the Quality of Life Questionnaire for Women Infected with HPV (EQUALI-HPV).BMC public health · 2024Article
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Authors and funding
2 authors.
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Abstract
Background: The Comprehensive Autistic Trait Inventory (CATI) was an appropriate assessment tool that included all the principal dimensions related to autism defined in DSM-5 for the general population. However, its validity and reliability in the general Chinese population still need to be examined. Purpose: We revised the inventory and estimated the validity and reliability of the Chinese version of the CATI among 2232 general undergraduates. Methods: The Chinese version of the CATI (CATI-C) was administered to 2259 undergraduates using the online Questionnaires Star electronic system. Internal consistency, convergent validity, discriminant validity, test-retest reliability, and measurement invariance across gender were calculated. In order to determine the diagnostic accuracy and optimal cut-off score of the CATI-C, an analysis using the Receiver Operating Characteristic (ROC) was performed. Results: The CATI-C includes 35 items of two factors and six dimensions. CFA demonstrated that the fit index of the structure of the scale was good (Satorra-Bentler chi-square/degrees of freedom [S-B Conclusion: The CATI-C has satisfactory reliability and validity in measuring autistic traits. It showed a good model fit for social and non-social second-order bifactors and measurement invariance across gender.
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