The Intersection of Systemic, Child, and Evaluation Factors in the Prediction of Autism Special Education Eligibility; Examining the Role of Race and Ethnicity.

Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To expl...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Autism & Developmental Disorders Vol. 54; no. 9; pp. 3274 - 3290
Autores principales: Young, Kelsey, Harris, Bryn, Hall-Lande, Jennifer, Esler, Amy
Formato: research tables/charts Journal Article
Publicado: Springer Nature Sep2024
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=179325636&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 179325636
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01623257
        AUT
      jtl: Journal of Autism & Developmental Disorders
      issn: 01623257
      maglogo: N
    pubinfo:
      dt: Sep2024
      vid: 54
      iid: 9
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        179325636
        165108225
        179325636
        179325636
        10.1007/s10803-023-06059-7
        179325636
      ppf: 3274
      ppct: 16
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: The Intersection of Systemic, Child, and Evaluation Factors in the Prediction of Autism Special Education Eligibility; Examining the Role of Race and Ethnicity.
      aug:
        au:
          Young, Kelsey
          Harris, Bryn
          Hall-Lande, Jennifer
          Esler, Amy
        affil: Department of Research, Assessment, & Measurement, Curriculum Associates, North Billerica, MA, USA
      sug:
        subj:
          Autism Spectrum Disorder In Infancy and Childhood
          Eligibility Determination
          Education, Special
          Healthcare Disparities
          Race Factors
          Ethnic Groups
          Human
          Female
          Male
          Child
          Record Review
          Medical Records
          DSM
          Logistic Regression
          Effect Size
          Chi Square Test
          Mann-Whitney U Test
          Kruskal-Wallis Test
          Bivariate Statistics
          Post Hoc Analysis
          Confidence Intervals
          Data Analysis Software
          Descriptive Statistics
          Child: 6-12 years
          Female
          Male
      ab: Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To explore contributors to racial/ethnic disparities in autism special education eligibility, the current investigation evaluated child and evaluation characteristics as they relate to the absence of autism eligibility. Data were obtained from the Autism and Developmental Disabilities Monitoring (ADDM) Network Study and included children with behavioral characteristics consistent with autism and educational evaluation records. Despite documented characteristics consistent with autism, only 72% of the sample received educational services under autism eligibility. To characterize children without autism eligibility, hierarchical logistic regression was used to evaluate factors documented in evaluation records predicting the absence of autism eligibility. Factors influencing autism eligibility included behavioral characteristics documented, evaluation components completed, intellectual ability, and clinical diagnoses present. There was no unique contribution of race/ethnicity in predicting the absence of autism eligibility when accounting for these previous predictors, but many of these predictors differed by racial/ethnic group. Disproportionality in autism may be the manifestation of inequitable evaluation experiences, including experiencing less comprehensive evaluations, and not receiving an autism specific assessment. Though race/ethnicity did not uniquely contribute to the absence of autism eligibility above and beyond those combined factors, it is important to evaluate and reduce inequities experienced within the autism identification process for populations who are culturally and linguistically minoritized.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N