Impact of State-Level Changes to School-Based Autism Identification Criteria

References

• Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms & profiles. University of Vermont, Research Center for Children, Youth, & Families.
   Google Scholar
• Aiello, R., Ruble, L., & Esler, A. (2017). National study of school psychologists’ use of evidence-based assessment in autism spectrum disorder. Journal of Applied School Psychology, 33(1), 67–88. doi:10.1080/15377903.2016.1236307
   Web of Science ®Google Scholar
• Allen, R. A., Robins, D. L., & Decker, S. L. (2008). Autism spectrum disorders: Neurobiology and current assessment practices. Psychology in the Schools, 45, 905–917. doi:10.1002/pits.20341
   Web of Science ®Google Scholar
• American Psychiatric Association (2013). Diagnostic and statistical manual 5th edition (DSM-5). Arlington, VA: American Psychiatric Association.
   Google Scholar
• Barned, N. E., Knapp, N. F., & Neuharth-Pritchett, S. (2011). Knowledge and attitudes of early childhood preservice teachers regarding the inclusion of children with autism spectrum disorder. Journal of Early Childhood Teacher Education, 32(4), 302–321. doi:10.1080/10901027.2011.622235
   Google Scholar
• Barton, E., Harris, B., Leech, N., Stiff, L., Choi, G., & Joel, T. (2016). An analysis of state autism educational assessment practices and requirements. Journal of Autism and Developmental Disorders, 46(3), 737–748. doi:10.1007/s10803-015-2589-0
   PubMed Web of Science ®Google Scholar
• Brock, S. E. (2006). An examination of the changing rates of autism in special education. The California School Psychologist, 11, 31–40. doi:10.1007/BF03341113
   Google Scholar
• Broder-Fingert, S., Shui, A., Pulcini, C. D., Kurowski, D., & Perrin, J. M. (2013). Racial and ethnic differences in subspecialty service use by children with autism. Pediatrics, 132(1), 94–100. doi:10.1542/peds.2012-3886
   PubMed Web of Science ®Google Scholar
• Callaghan, T., & Sylvester, S. (2019). Autism spectrum disorder, politics, and the general insurance mandates in the United States. PLoS One, 14(5), e0217064. https://doi.org/10.1371/journal.pone.0217064.
   Google Scholar
• Constantino, J. N., & Gruber, C. P. (2012). Social Responsiveness Scale. 2nd ed. Western Psychological Services.
   Google Scholar
• Faul, F., Erdfelder, E., Lang, A.G., & Buchner, A. (2007) G*Power 3: A Flexible Statistical Power Analysis Program for the Social, Behavioral, and Biomedical Sciences. Behavior Research Methods, 39, 175–191. doi:10.3758/BF03193146
   Google Scholar
• IBM Corp. (2016). IBM SPSS Statistics, Version 24.0. IBM Corp.
   Google Scholar
• Individuals with Disabilities Education Act. (2004). 20 U.S.C. § 1400.
   Google Scholar
• Kim, S. H, Bal, V. H, & Lord C. (2018). Longitudinal follow-up of academic achievement in children with autism from age 2 to 18. Journal of Child Psychology and Psychiatry, 59, 258–267. doi:10.1111/jcpp.12808
   Google Scholar
• Lord, C., Petkova, E., Hus, V., Gan, W., Lu, F., Martin, D. M., Ousley, O., Guy, L., Bernier, R., Gerdts, J., Algermissen, M., Whitaker, A., Sutcliffe, J. S., Warren, Z., Klin, A., Saulnier, C., Hanson, E., Hundley, R., Piggot, J., Fombonne, E., … Risi, S. (2012). A multisite study of the clinical diagnosis of different autism spectrum disorders. Archives of general psychiatry, 69(3), 306–313. doi:10.1001/archgenpsychiatry.2011.148
   Google Scholar
• MacFarlane, J. R., & Kanaya, T. (2009). What does it mean to be autistic? Inter-state variation in special education criteria for autism services. Journal of Child and Family Studies, 18, 662–669. doi:10.1007/s10826-009-9268-8
   Web of Science ®Google Scholar
• Maddox, B. B., Rump, K. M., Stahmer, A. C., Suhrheinrich, J., Rieth, S. R., Nahmias, A. S., Nuske, H. J., Reisinger, E. M., Crabbe, S. R., Bronstein, B., & Mandell, D. S. (2019). Concordance between a U.S. educational autism classification and the Autism Diagnostic Observation Schedule. Journal of Clinical Child and Adolescent Psychology, 49(4), 1–7. doi:10.1080/15374416.2019.1567345
   PubMed Web of Science ®Google Scholar
• Maenner, M., Shaw, K., Baio, J., Washington, A., Patrick, M., DiRienzo, M., Christensen, D., Wiggins, L., Pettygrove, S., Andrews, J., Lopez, M., Hudson, A., Baroud, T., Schwenk, Y., White, T., Robinson Rosenberg, C., Lee, L., Harrington, R., Huston, M., … & Dietz, P. (2020). Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years—Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016. MMWR Surveillance Summaries, 69(4), 1–12. doi:10.15585/mmwr.ss6904a1
   Google Scholar
• Mandell, D. S., & Palmer, R. (2005). Differences among states in the identification of autistic spectrum disorders. Archives of Pediatrics & Adolescent Medicine, 159(3), 266–269. doi:https://doi.org/10.1001/archpedi.159.3.266
   PubMedGoogle 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(1), 125–130. doi:10.2105/AJPH.2003.023077
   PubMed Web of Science ®Google Scholar
• Pennington, M., Cullinan, D., & Southern, L. (2014). Defining autism: Variability in state education agency definitions of and evaluations for autism spectrum disorders. Autism Research and Treatment, 2014, 327271–327278. doi:10.1155/2014/327271
   PubMedGoogle Scholar
• R Core Team. (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. https://www.R-project.org/
   Google Scholar
• Reynolds, C. R., & Kamphaus, R. W. (2015). Behavior assessment system for children – third edition (BASC-3). Bloomington, MN: Pearson.
   Google Scholar
• Safer-Lichtenstein, J., Hamilton, J., & McIntyre, L. L. (2021). School-based autism rates by state: An analysis of demographics, DSM alignment, and differential diagnoses. Journal of Autism and Developmental Disorders, 51, 2271–2283. doi:10.1007/s10803-020-04700-3
   PubMed Web of Science ®Google Scholar
• Safer-Lichtenstein, J., & McIntyre, L. L. (2020). Comparing autism symptom severity between children with a medical autism diagnosis and an autism special education eligibility. Focus on Autism and Other Developmental Disabilities, 35(3), 186–192. doi:10.1177/1088357620922162
   Web of Science ®Google Scholar
• Segall, M. J., & Campbell, J. M. (2012). Factors relating to education professionals’ classroom practices for the inclusion of students with autism spectrum disorders. Research in Autism Spectrum Disorders, 6(3), 1156–1167. doi:10.1016/j.rasd.2012.02.007
   Web of Science ®Google Scholar
• Shattuck, P. T. (2006). The contribution of diagnostic substitution to the growing administrative prevalence of autism in US special education. Pediatrics, 117(4), 1028–1037. doi:10.1542/peds.2005-1516
   PubMed Web of Science ®Google Scholar
• Sullivan, A. L. (2013). School-based autism identification: Prevalence, racial disparities, and systemic correlates. School Psychology Review, 42(3), 298–316. doi:10.1080/02796015.2013.12087475
   Web of Science ®Google Scholar
• Witmer, S. E., & Ferreri, S. J. (2014). Alignment of instruction, expectations, and accountability testing for students with autism spectrum disorder. Focus on Autism and Other Developmental Disabilities, 29(3), 131–144. doi:10.1177/1088357614522294
   Web of Science ®Google Scholar
• Workman, E. (2012). Teacher expectations of students: A self-fulfilling prophecy? The Progress of Education Reform, 13(6), 1–7. www.ecs.org/clearinghouse/01/05/51/10551.pdf
   Google Scholar