[article]
| Titre : |
Optimized grouping methods for high and low autistic traits using the Chinese version of the comprehensive autistic trait inventory: A two-wave study of 2214 participants over six months |
| Type de document : |
texte imprimé |
| Auteurs : |
Shuang MA, Auteur ; Xintong LI, Auteur ; Wenrui LI, Auteur ; Xinyi HE, Auteur ; Yijie HUANG, Auteur ; Wendian SHI, Auteur ; Xudong ZHAO, Auteur |
| Article en page(s) : |
202827 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Autistic Traits Autism Comprehensive Autistic Trait Inventory Grouping Methods |
| Index. décimale : |
PER Périodiques |
| Résumé : |
Autistic traits (ATs) are subclinical behavioral and cognitive characteristics associated with autism, prevalent in the general population. Studying individuals with high ATs offers valuable insights for autism research, particularly when utilizing larger samples with fewer confounding conditions. This study utilized the Chinese Version of the Comprehensive Autistic Trait Inventory (CATI-C) to assess 2214 university students at two time points, six months apart, to identify optimal methods for distinguishing high and low ATs. Internal consistency and test-retest reliability of the CATI-C were evaluated using Cronbach’s α, Pearson’s correlation, and Intraclass Correlation Coefficients (ICC). Kappa (κ) consistency tests, combined with independent-sample t-tests, were used to compare four grouping methods: median, quartile, decile, and mean ± 1 SD. Results indicated excellent internal consistency (Cronbach’s α > 0.88) and strong test-retest reliability (Pearson’s correlation and ICC > 0.67). Both Kappa and t-test analyses identified the mean ± 1 SD (high ATs > 144; low ATs < 103) and decile (high ATs > 148; low ATs < 98) methods as the most stable and effective for distinguishing between high and low ATs. These findings provide critical guidance for optimizing the use of the CATI-C in future research on ATs in Chinese contexts. |
| En ligne : |
https://doi.org/10.1016/j.reia.2026.202827 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=581 |
in Research in Autism > 131 (March 2026) . - 202827
[article] Optimized grouping methods for high and low autistic traits using the Chinese version of the comprehensive autistic trait inventory: A two-wave study of 2214 participants over six months [texte imprimé] / Shuang MA, Auteur ; Xintong LI, Auteur ; Wenrui LI, Auteur ; Xinyi HE, Auteur ; Yijie HUANG, Auteur ; Wendian SHI, Auteur ; Xudong ZHAO, Auteur . - 202827. Langues : Anglais ( eng) in Research in Autism > 131 (March 2026) . - 202827
| Mots-clés : |
Autistic Traits Autism Comprehensive Autistic Trait Inventory Grouping Methods |
| Index. décimale : |
PER Périodiques |
| Résumé : |
Autistic traits (ATs) are subclinical behavioral and cognitive characteristics associated with autism, prevalent in the general population. Studying individuals with high ATs offers valuable insights for autism research, particularly when utilizing larger samples with fewer confounding conditions. This study utilized the Chinese Version of the Comprehensive Autistic Trait Inventory (CATI-C) to assess 2214 university students at two time points, six months apart, to identify optimal methods for distinguishing high and low ATs. Internal consistency and test-retest reliability of the CATI-C were evaluated using Cronbach’s α, Pearson’s correlation, and Intraclass Correlation Coefficients (ICC). Kappa (κ) consistency tests, combined with independent-sample t-tests, were used to compare four grouping methods: median, quartile, decile, and mean ± 1 SD. Results indicated excellent internal consistency (Cronbach’s α > 0.88) and strong test-retest reliability (Pearson’s correlation and ICC > 0.67). Both Kappa and t-test analyses identified the mean ± 1 SD (high ATs > 144; low ATs < 103) and decile (high ATs > 148; low ATs < 98) methods as the most stable and effective for distinguishing between high and low ATs. These findings provide critical guidance for optimizing the use of the CATI-C in future research on ATs in Chinese contexts. |
| En ligne : |
https://doi.org/10.1016/j.reia.2026.202827 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=581 |
|  |
Optimized grouping methods for high and low autistic traits using the Chinese version of the comprehensive autistic trait inventory: A two-wave study of 2214 participants over six months in Research in Autism, 131 (March 2026)
