Skip to main content

Advertisement

Log in

An Analysis of State Autism Educational Assessment Practices and Requirements

  • Original Paper
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

States differ in the procedures and criteria used to identify ASD. These differences are likely to impact the prevalence and age of identification for children with ASD. The purpose of the current study was to examine the specific state variations in ASD identification and eligibility criteria requirements. We examined variations by state in autism assessment practices and the proportion of children eligible for special education services under the autism category. Overall, our findings suggest that ASD identification practices vary across states, but most states use federal guidelines, at least in part, to set their requirements. Implications and recommendations for policy and practice are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • American Psychiatric Association. (2004). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Association.

    Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.

    Google Scholar 

  • Barton, E. E., Harris, B., & Leech, N. (2015). Autism identification and programming practices: A case study from one state. Manuscript submitted for publication.

  • Boyd, B. A., Odom, S. L., Humphreys, B. P., & Sam, A. M. (2010). Infants and toddlers with autism spectrum disorder: Early identification and early intervention. Journal of Early Intervention, 32, 75–98.

    Article  Google Scholar 

  • Brock, M. E., Huber, H. B., Carter, E. W., Juarez, A. P., & Warren, Z. E. (2014). Statewide assessment of professional development needs related to education students with autism spectrum disorder. Focus on Autism and Other Developmental Disabilities, 29, 67–79.

    Article  Google Scholar 

  • Brock, S. E., Jimerson, S. R., & Hansen, R. L. (2006). Identifying, assessing, and treating autism at school. New York: Springer.

    Google Scholar 

  • Centers for Disease Control and Prevention (2014). Prevalence of autism spectrum disorders among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2010. Morbidity and Mortality Weekly Report. Surveillance Summaries, 63(2), 1–24.

    Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2. Auflage). Hillsdale, NJ: Erlbaum.

  • Conderman, G., & Katsiyannis, A. (1996). State practices in serving individuals with Autism. Focus on Autism and Other Developmental Disabilities, 11, 29–36.

    Article  Google Scholar 

  • Dabkowski, D. M. (2004). Encouraging active parent participation in IEP team meetings. Teaching Exceptional Children, 36, 34–39.

    Google Scholar 

  • Jeans, L. M., Santos, R. M., Laxman, D. J., McBride, B., & Dyer, W. J. (2013). Early predictors of ASD in young children using a nationally representative data set. Journal of Early Intervention, 35, 303–331.

    Article  Google Scholar 

  • MacFarlane, J. R., & Kanaya, T. (2009). What does it meant o be autistic: Inter-state variation in special education criteria for autism services. Journal of Child and Family Studies, 18, 662–669.

    Article  Google Scholar 

  • Mandell, D. S., Listerud, J., Levy, S. E., & PintoMartin, J. A. (2002). Race differences in the age at diagnosis among Medicaid-eligible children with autism. Journal of the American Academy of Child and Adolescent Psychiatry, 41, 1447–1453.

    Article  PubMed  Google Scholar 

  • Mandell, D. S., & Palmer, R. F. (2005). Differences among states in the identification of autistic spectrum disorders. Archives of Pediatrics and Adolescent Medicine, 159, 266–269.

    Article  PubMed  Google Scholar 

  • Mandell, D. S., Wiggins, L. D., Carpenter, L. A., Daniels, J., DiGuiseppi, C., Durkin, M. S., et al. (2009). Racial/ethnic disparities in the identification of children with autism spectrum disorders. American Journal of Public Health, 99, 493–498.

    Article  PubMed Central  PubMed  Google Scholar 

  • McKenney, E. L., Dorencz, J., Bristol, R. M., & Hall, L. H. (2015). Publishing about autism spectrum disorder in six school psychology journals. Psychology in the Schools, 52, 265–283.

    Article  Google Scholar 

  • Morrier, M. J., & Hess, K. L. (2012). Ethnic differences in autism eligibility in the United States public schools. Journal of Special Education, 46, 49–53.

    Article  Google Scholar 

  • Ozonoff, S., Iosif, A. M., Baguio, F., Cook, I. C., Hill, M. M., Hutman, T., & Young, G. S. (2010). A prospective study of the emergence of early behavioral signs of autism. Journal of the American Academy of Child and Adolescent Psychiatry, 49, 256–266.

    PubMed Central  PubMed  Google Scholar 

  • Ozonoff, S., Young, G. S., Carter, A., Messinger, D., Yirmiya, N., Zwaigenbaum, L., & Stone, W. L. (2011). Recurrence risk for autism spectrum disorders: A baby siblings research consortium study. Pediatrics, 128, e1–e8.

    Article  Google Scholar 

  • Palmer, R. F., Blanchard, S., Jean, C. R., & Mandell, D. S. (2005). School district resources and identification of children with autistic disorder. American Journal of Public Health, 95, 125–130.

    Article  PubMed Central  PubMed  Google Scholar 

  • Pavri, S. (2001). Developmental delay or cultural difference?: Developing effective child find practices in identifying children from culturally and linguistically diverse backgrounds. Young Exceptional Children, 4, 2–9.

    Article  Google Scholar 

  • Pringle, B., Colpe, L., Blumberg, S., Avila, R., & Kogan, M. (2012). Diagnostic history and treatment of school-aged children with autism spectrum disorder and special health care needs. Hyattsville, MD: National Center for Health Statistics.

    Google Scholar 

  • Safran, S. P. (2008). Why youngsters with autistic spectrum disorders remain underrepresented in special education. Remedial and Special Education, 29, 90–95.

    Article  Google Scholar 

  • Shattuck, P. T., Durkin, M., Maenner, M., Newschaffer, C., Mandell, D. S., Wiggins, L., et al. (2009). Timing of identification among children with an autism spectrum disorder: Findings from a population-based surveillance study. Journal of the American Academy of Child and Adolescent Psychiatry, 48, 474–483.

    Article  PubMed Central  PubMed  Google Scholar 

  • Stahmer, A. C., & Mandell, D. S. (2007). State infant/toddler program policies for eligibility and services provision for young children with autism. Administration and Policy in Mental Health and Mental Health Services Research, 34, 29–37.

    Article  PubMed Central  PubMed  Google Scholar 

  • Staples, K. E., & Dilberto, J. A. (2010). Guidelines for successful parent involvement: Working with parents of students with disabilities. Teaching Exceptional Children, 42, 58–63.

    Google Scholar 

  • U.S. Department of Education. (2014). 36th annual report to congress on the implementation of the Individuals with Disabilities Act. Washington, DC: U.S. Department of Education.

  • Vismara, L., & Rogers, S. (2008). The early start denver model. Journal of Early Intervention, 31, 91–108.

    Article  Google Scholar 

  • White, S. P., Weitlauf, A. S., & Warren, Z. E. (2012). Early diagnosis of autism spectrum disorder: Progress, challenges, and remaining questions for families and professionals. In R. M. Hodapp (Ed.), International review of research in developmental disabilities (pp. 47–85). Waltham, MA: Academic Press, Elsevier Inc.

    Chapter  Google Scholar 

  • Wilkinson, L. A. (2010). A Best practice guide to assessment and intervention for autism and Asperger’s syndrome in schools. London: Jessica Kingsley Publishers.

    Google Scholar 

  • Yeargin-Allsopp, M., Rice, C., Karapurkar, T., Doernberg, N., Boyle, C., & Murphy, C. (2003). Prevalence of autism in a US metropolitan area. The Journal of the American Medical Association, 289, 49–55.

    Article  PubMed  Google Scholar 

  • Zirkel, P. (2011). Autism litigation under the IDEA: A new meaning of “disproportionality”? Journal of Special Education Leadership, 24, 92–103.

    Google Scholar 

Download references

Author Contribution

EB conceived of the study, participated in its design and coordination, performed the descriptive analysis, and drafted the manuscript; BH conceived of the study, participated in its design and coordination, and helped to draft the manuscript; NL performed the statistical analysis and help in drafting the manuscript; LS, GC, and TJ extracted data from websites, summarized data, and helped to draft the manuscript. All authors read and approved the final manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Erin E. Barton.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 14 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Barton, E.E., Harris, B., Leech, N. et al. An Analysis of State Autism Educational Assessment Practices and Requirements. J Autism Dev Disord 46, 737–748 (2016). https://doi.org/10.1007/s10803-015-2589-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-015-2589-0

Keywords

Navigation