School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification.
We reviewed federal special education data to determine school-identified prevalence of Autism Spectrum Disorder (ASD) and other disability categories by U.S. state. We also examined whether state-level policies, demographic factors, and rates of other eligibility categories are predictive of these...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 51; no. 7; pp. 2271 - 2284 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150794126&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150794126 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Jul2021 vid: 51 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 150794126 145729538 150794126 150794126 10.1007/s10803-020-04700-3 150794126 ppf: 2271 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: School-Based Autism Rates by State: An Analysis of Demographics, Political Leanings, and Differential Identification. aug: au: Safer-Lichtenstein, Jonathan Hamilton, Jillian McIntyre, Laura Lee affil: Department of Special Education and Clinical Sciences, School Psychology Program, University of Oregon, 97403-5208, Eugene, OR, USA sug: subj: Autism Spectrum Disorder Epidemiology Education, Special Autism Spectrum Disorder Children with Disabilities United States Human Socioeconomic Factors Data Analysis Software Learning Disorders Politics Intellectual Disability ab: We reviewed federal special education data to determine school-identified prevalence of Autism Spectrum Disorder (ASD) and other disability categories by U.S. state. We also examined whether state-level policies, demographic factors, and rates of other eligibility categories are predictive of these state ASD rates. Results indicate that overall, 1 of 81 school-aged children are served under an ASD special education eligibility. State-level demographic factors, such as socioeconomic status and political leanings were highly predictive of rates of ASD. States with higher rates of ASD had lower rates of intellectual and learning disabilities, but higher rates of Other Health Impairment (OHI). pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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