ERIC Number: EJ1048601
Record Type: Journal
Publication Date: 2014-Oct
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0014-4029
EISSN: N/A
Predictors of Autism Enrollment in Public School Systems
Boswell, Katelyn; Zablotsky, Benjamin; Smith, Christopher
Exceptional Children, v81 n1 p96-106 Oct 2014
With a number of disparities present in the diagnosis and treatment of children with autism spectrum disorders, the education system plays a crucial role in the provision of both these service elements. Based on school and federal census data, this article examines one state's public school autism enrollment and possible predictors of enrollment within each jurisdiction. The authors' analyses found that actual prevalence is inconsistent with expectations across jurisdictions, with socioeconomic status indicators, race, geographic location, and racial diagnostic discrepancies in special education significantly predicting enrollment. This report exemplifies how secondary analysis of educational data can allow states to better allocate funding, begin to address issues pertaining to lags and unmet standards, and find model systems within their states.
Descriptors: Predictor Variables, Autism, Enrollment Trends, Pervasive Developmental Disorders, Public Schools, Incidence, Socioeconomic Status, Racial Differences, Geographic Location, Clinical Diagnosis, Special Education, Data Analysis, Resource Allocation, School Districts, Asperger Syndrome, Statistical Analysis, Elementary School Students, Secondary School Students, Preschool Children, Kindergarten, Teacher Student Ratio, Student Mobility, Attendance, Income
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Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Secondary Education; Kindergarten; Primary Education; Early Childhood Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Maryland
Grant or Contract Numbers: N/A