Predicting language, cognition, and social skills in individuals with Autism spectrum disorder using the Arabic...

The Gilliam Autism Rating Scale-Third Edition (GARS-3) has emerged as a pivotal instrument in the diagnostic assessment of Autism Spectrum Disorder (ASD), with its utility extending across linguistic and cultural boundaries. This study endeavors to adapt and validate the GARS-3 for the Arabic-speaking population, addressing the paucity of culturally congruent diagnostic tools in the Arab world. The primary objective is to validate the Arabic version of GARS-3 (A-GARS-3) to assess children with and without ASD, ensuring the scale's reliability and validity within the target population. A methodical cross-sectional study design was employed, encompassing a sample of 178 participants from both educational and clinical settings in Saudi Arabia. The process involved direct translation, expert panel review, back-translation, and pilot testing to ensure semantic equivalence and cultural relevance. Data were collected using the A-GARS-3, and analyses included Exploratory and Confirmatory Factor Analysis (EFA and CFA), internal consistency reliability measures, and a One-Way Analysis of Variance (ANOVA) to establish concurrent validity. The A-GARS-3 demonstrated high internal consistency (Cronbach's alpha = 0.971; McDonald's omega = 0.972) and strong construct validity, with factor loadings and model fit indices substantiating the factor structure. Predictive validity was confirmed through significant correlations between the Autism Index and the subscales, particularly in the domains of social interaction and communication. The A-GARS-3 is a psychometrically sound instrument that offers reliable assessment for ASD within the Arab cultural context. The positive validation outcomes indicate that the scale is an effective, culturally adapted tool for the localized diagnosis of ASD. The validated scale has significant implications for enhancing ASD screening and diagnostic practices in Arabic-speaking regions, potentially improving early diagnosis and intervention strategies.