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Children with autism spectrum disorder suffer from behavioral problems represented in aggressive behavior towards themselves and others, therefore, the child's inability to perform basic life skills, his isolation and his inability to integrate with others. As such, the present study aimed to prepare a training program based on the Hijaashi method in alleviating aggressive behavior in children with autism spectrum disorder in Jordan and verifying its effectiveness in the pre and post measurements. The present study used a quasi-experimental quantitative descriptive approach. To achieve the objectives of the study, an aggressive behavior measure consisting of 23 paragraphs was divided into two dimensions. The sample of the study consisted of (30) children with autism spectrum disorder chosen intentionally and distributed randomly to two control groups and consisted of (15) children, and experimental consisted of (15) children. Appropriate statistical analyzes were performed, such as manova, accompanying multiple variance (mancova), ancova analysis, arithmetic mean, and standard deviations. The results showed that there were statistically significant differences at the level of significance (α = 0.05) between the mean ranks of the experimental and control groups' scores on the scale of aggressive behavior in the dimensional measurement, and the presence of statistically significant differences at the level of significance (α = 0.05) between the average ranks of the experimental group on the scale of aggressive behavior in telemetry. Conclusion: The current study contributes to alleviating aggressive behavior in children with autism spectrum disorder in Jordan and developing basic life skills, increasing their effectiveness with others, avoiding isolation, introvertedness, and contributing to training specialists on how to prepare training programs that help these children to modify their behavior.

The Effectiveness of the Hijaashi Method to Reduce Aggressive Behavior in Children with Autism Spectrum Disorder in Jordan