فعالية النسخة العربية من نموذج زيجيورات للتدخل الشامل في خفض حدة أعراض طيف التوحد للأطفال ذوي الأداء المنخفض

الملخص EN

The current study aims to verify the effectiveness of the Arabic version of the Ziggurat model prepared by (Aspy& Grossman, 2006); in order to use it in developing comprehensive intervention plans for children with ASD, that aims to reduce the severity of symptoms of ASD suffered by children with LFA in the main areas on which the diagnosis of ASD is based, which are: (the interaction area, the communication area, and the Repetitive Stereotypes area).

Moreover, to verify the effectiveness of the model, the researcher translated and Arabized the model, and then applied it to a sample of ten children who were clinically diagnosed with low functioning Autism (LFA) for a period of six months, in the year of 2020- 2021, and the ages of the study sample ranged Between three and six years, with an arithmetic average of 4.50, a standard deviation of 1.08, and IQ average of 47.40.

The researcher used the Gilliam Autism Rating Scale in the pre and post measurement to verify the hypotheses of the study.

The results revealed that there were statistically differences between the average rank of the children of the experimental group between the pre and post measurement noted on the Gilliam scale in the areas of interaction, communication, repetitive stereotypes, as well as the total score; This confirms the effectiveness of the Ziggurat model and its ability to reduce the severity of symptoms of ASD suffered by children with LFA in the study sample.

The study aims at examining the efficiency of the Arabic version of the Ziggurat model that is used in preparing the comprehensive intervention plans for children with autism spectrum disorders.

Such plans aim at reducing the intensity of the symptoms of the autism spectrum in children with low performance in the main areas on which the autism diagnosis is based (namely: interaction, communication and repetitive patterns).

To examine its efficiency, the researcher translated and Arabized the model then applied it to a sample of 10 children who are clinically diagnosed with autism and have low performance for 6 months during the school year 2020- 2021.

The ages within the sample ranged from 3 to 6 years with an average of 4.5 and standard deviation of 1.08.

The sample average IQ is 47.4.

The researcher used Gilliam Autism Rating Scale for the pre- and post- tests to examine the study suppositions.

The results revealed significant statistical differences between the average scores of the experimental group in the pre/post- testing using Gilliam scale in the areas of interaction, communication and repetitive patterns and the total scores.

This emphasizes the efficiency of the Ziggurat in reducing the intensity of the autism spectrum symptoms in the study sample.