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Dixon, Mark R.; Rowsey, Kyle E.; Gunnarsson, Karl F.; Belisle, Jordan; Stanley, Caleb R.; Daar, Jacob H. – Journal of Behavioral Education, 2017
With the rising number of individuals diagnosed with autism and other developmental disabilities comes an increased need for effective assessment and treatment options. Previous research has indicated that applied behavior analytic techniques are among the most empirically supported and utilized treatments for this population; however, curriculum…
Descriptors: Autism, Pervasive Developmental Disorders, Intervention, Correlation
Deeb, Raid Mousa Al-Shaik – International Education Studies, 2016
The study aimed at identifying knowledge of parents of children with autism spectrum disorder of behavior modification methods and their training needs accordingly. The sample of the study consisted of (98) parents in Jordan. A scale of behavior modification methods was constructed, and then validated. The results of the study showed that the…
Descriptors: Knowledge Level, Parents, Children, Autism
Carr, Monica E.; Moore, Dennis W.; Anderson, Angelika – Exceptional Children, 2014
Self-management interventions aimed at skill acquisition and/or improving behavior of students diagnosed with autism spectrum disorders were examined. Twenty-three single-subject research design studies met inclusion criteria. Quality assessment of these studies was conducted using the What Works Clearinghouse guidelines, and treatment effect…
Descriptors: Autism, Pervasive Developmental Disorders, Self Control, Intervention
Goh, Ailsa E.; Bambara, Linda M. – Remedial and Special Education, 2012
This meta-analysis examined school-based intervention research based on functional behavioral assessment (FBA) to determine the effectiveness of key individualized positive behavior support (IPBS) practices in school settings. In all, 83 studies representing 145 participants were included in the meta-analysis. Intervention, maintenance, and…
Descriptors: Intervention, Behavior Problems, Functional Behavioral Assessment, Meta Analysis