Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.

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46th Annual Convention; Online; 2020

Event Details


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Paper Session #276
Educational Outcomes of Young Children With Autism: Review of 15 Years of Data
Sunday, May 24, 2020
6:00 PM–6:20 PM
Virtual
Area: AUT
Chair: Peishi Wang (Queens College, City University of New York)
 

Educational Outcomes of Young Children With Autism: Review of 15 Years of Data

Domain: Service Delivery
PEISHI WANG (Queens College, City University of New York), Menglin Sun (Beijing Wucailu Center for Children), Weiwei Chen (Beijing Wucailu Center for Children with Autism), Elizabeth Ijalba (Queens College, City University of New York), Mei Liu (Beijing Wucailu Center for Children with Autism), Qi Li (Queens College, City University of New York), Lihua Han (Beijing Wucailu Center for Children with Autism), Xiaowei Xu (Beijing Wucailu Center for Children with Autism)
 
Abstract:

The purpose of the current study is to systematically examine the educational outcome data from over 6000 young children served at Beijing Wucailu Center for Children with Autism since 2004. To date, Wucailu has provided educational and rehabilitation programs to young children with autism spectrum disorder from 31 provinces and municipalities in China. These programs were derived from principles of applied behavior analysis and evidence-based practices. Currently, there are approximately 800 children enrolled in multiple cities throughout China. Data analyses are underway. Demographic data were analyzed to determine trends within the sample. Paired sample t test was employed to evaluate children’s performance at entry and exit. Performance data were gathered from norm-referenced (Psychoeducational Profile--3, Chinese ed.) and criterion referenced assessments (Assessment of Basic Language and Learning Skills Revised, ABLLS-R). Growth curve modeling was used to explore the relationship between children's growth and the lengths and types of services received. Our preliminary findings indicated a heterogenous group of children and families who received services at Wucailu over the past 15 years. The descriptive data analyses showed the ages of diagnosis are associated with geographical variations, i.e. geographic access to health services are correlated to the age of receiving diagnosis. The average age of enrollment at Wucailu is 3.5 years and the average length of services is 8.5 months. Key findings and implications will be discussed.

 
 

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