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An Examination of the Changing Rates of Autism in Special Education

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Abstract

Using U.S. Department of Education data, the current study examined changes in the rates of special education eligibility classifications. This was done to determine if classification substitution might be an explanation for increases in the number of students being found eligible for special education using the Autism criteria. Results reveal that as the rates of Autism have gone up, the rates of mental retardation (MR), emotional disturbance (ED), and specific learning disability (SLD) have gone down. From these data it was concluded that it is possible that the increased numbers of students found eligible for special education using Autism criteria, is at least in part a function of IEP teams being increasingly more willing and able to use autism criteria instead of MR, ED, and SLD criteria.

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References

  • American Academy of Pediatrics. (2001). Counseling families who choose complementary and alternative medicine for their child with chronic illness and disability. Pediatrics, 107, 598–601.

    Article  Google Scholar 

  • Barbaresi, W. J., Katusic, S. K., Colligan, R. C., Weaver, A. L., & Jacobsen, S. J. (2005). Incidence of autism in Olmsted County, Minnesota, 1976–1997: Results from a population-based study. Archives of Pediatrics & Adolescent Medicine, 159, 37–44.

    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 

  • Chakrabarti, S., & Fombonne, E. (2001). Pervasive developmental disorders in preschool children. JAMA, 285, 3093–3099.

    Article  PubMed  Google Scholar 

  • Croen, L. A., Grether, J. K., Hoogstrate, J., & Selvin, S. (2002). The changing prevalence of autism in California. Journal of Autism and Developmental Disorders, 32, 207–215.

    Article  PubMed  Google Scholar 

  • Davila, R. R., Williams, M. L., & MacDonald, J. T. (1991, September 16). Joint policy memorandum (ADD). Washington, DC: Office of Special Education and Rehabilitative Services. Retrieved May 18, 2006, from http://www.wrightslaw.com/law/code_regs/OSEP_Memorandum_ADD_1991.html

    Google Scholar 

  • Fombonne, E. (2003a). Epidemiology of pervasive developmental disorders. Trends in Evidence-Based Neuropsychiatry, 5, 29–36.

    Google Scholar 

  • Fombonne, E. (2003b). The prevalence of autism. JAMA, 289, 87–89.

    Article  PubMed  Google Scholar 

  • Fombonne, E. (2003, September). Modern views of autism. The Canadian Journal of Psychiatry, 48, 503–505.

    Google Scholar 

  • Gernsbacher, M. A., Dawson, M., & Goldsmith, H. H. (2005). Three reason not to believe in an autism epidemic. Current Directions in Psychological Science, 14, 55–58.

    Article  Google Scholar 

  • Gillberg, C., & Wing, L. (1999). Autism: Not an extremely rare disorder. Acta Psychiatrica Scandinavica, 99, 399–406.

    Article  PubMed  Google Scholar 

  • Kohrt, B. (2004, Winter). School psychologists respond to ASD survey. CASP Today, 53(1), 4.

    Google Scholar 

  • National Research Council, Committee on Educational Interventions for Children with Autism. (2001). Educating children with autism. Washington, DC: National Academy Press.

    Google Scholar 

  • Powell, J. E., Edwards, A., Edwards, M., Pandit, B. S., Sungum-Paliwal, S. R., & Whitehouse, W. (2000). Changes in incidence of childhood autism and other autistic spectrum disorders from two areas of the West Midlands, UK. Developmental Medicine & Child Neurology, 42, 624–628.

    Article  Google Scholar 

  • Report to the legislature on the principle findings from the epidemiology of Autism in California (2002, October 17). A comprehensive pilot study. Davis, CA: University of California, Davis, M.I.N.D. Institute.

    Google Scholar 

  • Tidmarsh, L., & Volkmar, F. R. (2003). Diagnosis and empidemiology of autism spectrum disorders. Canadian Journal of Psychiatry, 48, 517–525.

    Google Scholar 

  • U.S. Department of Education, Office of Special Education Programs. (2005). Annual report tables [Data file]. Available from IDEAdata.org Web site, retrieved May 17, 2006, http://www.ideadata.org/AnnualTables.asp

  • Yeargin-Allsopp, M., Rice, C., Karapukar, T., Doernberg, N., Boyle, C., & Murphy, C. (2003). Prevalence of autism in a US metropolitan area. JAMA, 289, 49–55.

    Article  PubMed  Google Scholar 

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Correspondence to Stephen E. Brock.

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Author Note

The author wishes to thank Cathi Christo and Dorothy Marshall, both from California State University Sacramento, and Michael Slone, Irvine Unified School District; Irvine, CA, for their guidance regarding eligibility categories likely to be substituted for autism.

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Brock, S.E. An Examination of the Changing Rates of Autism in Special Education. Contemp School Psychol 11, 31–40 (2006). https://doi.org/10.1007/BF03341113

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