Skip to main content

Advertisement

Log in

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

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

Abstract

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.

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.

Similar content being viewed by others

Notes

  1. ‘Autism’ is used in place of ‘ASD’ or ‘autism spectrum disorder’ throughout this paper. Though the medical field refers to the diagnosis as ‘ASD’, the federal Department of Education refers to the special education eligibility category as ‘autism’. Given the focus on special education eligibility, ‘autism’ is used for consistency, except when discussing non-autism diagnoses, as these were only those documented in medical settings, not alternate special education eligibilities.

References

  • Agresti, A. (2002). Categorical data analysis. Wiley.

    Book  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. https://doi.org/10.1080/15377903.2016.1236307

    Article  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(10), 905–917. https://doi.org/10.1002/pits.20341

    Article  Google Scholar 

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., Text Revision). Washington, DC: Author.

  • Aylward, B. S., Gal-Szabo, D. E., & Taraman, S. (2021). Racial, ethnic, and sociodemographic disparities in diagnosis of children with autism spectrum disorder. Journal of Developmental and Behavioral Pediatrics, 42(8), 682.

    Article  PubMed  PubMed Central  Google Scholar 

  • Baio, J., Wiggins, L. D., Christensen, D., Maenner, M., Daniels, J., Warren, Z., Kurzius-Spencer, M., Zahorodny, W., Robinson Roseenber, C., White, T., Durkin, M. S., Imm, P., Nikolaou, L., Yeargin-Allsopp, M., Lee, L.-C., Harrington, R., Lopez, M., Fitzgerald, R., Hewitt, A., … Dowling, N. (2018). Prevalence of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2014. MMWR Surveillance Summaries, 67(6), 1–28

  • Banerjee, R., & Luckner, J. (2014). Training needs of early childhood professionals who work with children and families who are culturally and linguistically diverse. Infants and Young Children, 27(1), 43–59. https://doi.org/10.1097/IYC.0000000000000000

    Article  Google Scholar 

  • Barton, E., Harris, B., & Leech, N. (2016a). Autism identification policies and practices in early childhood: A preliminary investigation from one state. Infants & Young Children, 29(4), 267–289. https://doi.org/10.1097/IYC.0000000000000076

    Article  Google Scholar 

  • Barton, E., Harris, B., Leech, N., Stiff, L., Choi, G., & Joel, T. (2016b). An analysis of state autism educational assessment practices and requirements. Journal of Autism and Developmental Disorders, 46(3), 737–748. https://doi.org/10.1007/s10803-015-2589-0

    Article  PubMed  Google Scholar 

  • Begeer, S., Bouk, S. E., Boussaid, W., Terwogt, M. M., & Koot, H. M. (2009). Underdiagnosis and referral bias of autism in ethnic minorities. Journal of Autism and Developmental Disorders, 39(1), 142–148. https://doi.org/10.1007/s10803-008-0611-5

    Article  PubMed  Google Scholar 

  • Bishop-Fitzpatrick, L., & Kind, A. J. (2017). A scoping review of health disparities in autism spectrum disorder. Journal of Autism and Developmental Disorders, 47, 3380–3391.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bradley-Johnson, S., Johnson, C. M., & Vladescu, J. C. (2008). A comprehensive model for assessing the unique characteristics of children with autism. Journal of Psychoeducational Assessment, 26(4), 325–338. https://doi.org/10.1177/0734282908316952

    Article  Google Scholar 

  • Bursac, Z., Gauss, C. H., Williams, D. K., & Hosmer, D. W. (2008). Purposeful selection of variables in logistic regression. Source Code for Biology and Medicine, 3, 1–8. https://doi.org/10.1186/1751-0473-3-17

    Article  Google Scholar 

  • Chaidez, V., Hansen, R., & Hertz-Picciotto, I. (2012). Autism spectrum disorders in Hispanics and non-Hispanics. Autism, 15(4), 381–397. https://doi.org/10.1586/14737175.2015.1028369.Focused

    Article  Google Scholar 

  • Constantino, J. N., Abbacchi, A. M., Saulnier, C., Klaiman, C., Mandell, D. S., Zhang, Y., & Geschwind, D. H. (2020). Timing of the diagnosis of autism in African American children. Pediatrics, 146(3), e20193629.

    Article  PubMed  Google Scholar 

  • Cruz, R. A., & Firestone, A. R. (2022). Understanding the empty backpack: The role of timing in disproportionate special education identification. Sociology of Race and Ethnicity, 8(1), 95–113.

    Article  Google Scholar 

  • Cuccaro, M. L., Brinkley, J., Abramson, R. K., Hall, A., Wright, H. H., Hussman, J. P., Gilbert, J. R., & Pericak-Vance, M. A. (2007). Autism in African American families: Clinical-phenotypic findings. American Journal of Medical Genetics, Part b: Neuropsychiatric Genetics, 144(8), 1022–1026. https://doi.org/10.1002/ajmg.b.30535

    Article  Google Scholar 

  • Cuccaro, M. L., Wright, H. H., Rownd, C. V., Abramson, R. K., Waller, J., & Fender, D. (1996). Brief report: Professional perceptions of children with developmental difficulties—The influence of race and socioeconomic status. Journal of Autism and Developmental Disorders, 26(4), 461–469. https://doi.org/10.1007/BF02172830

    Article  PubMed  Google Scholar 

  • Daniels, A. M., & Mandell, D. S. (2014). Explaining difference in age at autism spectrum disorder diagnosis: A critical review. Autism, 18(5), 583–597. https://doi.org/10.1177/1362361313480277

    Article  PubMed  Google Scholar 

  • Division for Early Childhood. (2014). DEC recommended practices in early intervention/early childhood special education. https://divisionearlychildhood.egnyte.com/dl/tgv6GUXhVo/

  • Durkin, M. S., Maenner, M. J., Baio, J., Christensen, D., Daniels, J., Fitzgerald, R., Imm, P., Lee, L. C., Schieve, L. A., Van Naarden Braun, K., Wingate, M. S., & Yeargin-Allsopp, M. (2017). Autism spectrum disorder among US children (2002–2010): Socioeconomic, racial, and ethnic disparities. American Journal of Public Health, 107(11), 1818–1826. https://doi.org/10.2105/AJPH.2017.304032

    Article  PubMed  PubMed Central  Google Scholar 

  • El-Ghoroury, N. H., & Krackow, E. (2012). Enchancing the identification of autism spectrum disorders via a model of culturally sensitive childhood assessment. Professional Psychology: Research and Practice, 43(3), 249–255.

    Article  Google Scholar 

  • Esler, A. N., & Ruble, L. A. (2015). DSM-5 diagnostic criteria for autism spectrum disorder with implications for school psychologists. International Journal of School and Educational Psychology, 3(1), 1–15. https://doi.org/10.1080/21683603.2014.890148

    Article  Google Scholar 

  • Esler, A. N., Sample, J., Hall-Lande, J., Harris, B., Rice, C., Poynter, J., & Wiggins, L. (2022). Patterns of special education eligibility and age of first autism spectrum disorder (ASD) identification among US children with ASD. Journal of Autism and Developmental Disorders, 53, 1–16.

    Google Scholar 

  • Fenikilé, T. S., Ellerbeck, K., Filippi, M. K., & Daley, C. M. (2015). Barriers to autism screening in family medicine practice: A qualitative study. Primary Health Care Research & Development, 16(4), 356–366.

    Article  Google Scholar 

  • Frey, W. (2021). New 2020 census results show increased diversity countering decade-long declines in America’s white and youth populations. Brookings Institution.

    Google Scholar 

  • Fritz, C. O., Morris, P. E., & Richler, J. J. (2012). Effect size estimates: Current use, calculations, and interpretation. Journal of Experimental Psychology: General, 141(1), 2–18. https://doi.org/10.1037/a0024338

    Article  PubMed  Google Scholar 

  • Gordon-Lipkin, E., Foster, J., & Peacock, G. (2016). Whittling down the wait time: Exploring models to minimize the delay from initial concern to diagnosis and treatment of autism spectrum disorder. Pediatric Clinics, 63(5), 851–859.

    PubMed  Google Scholar 

  • Hall-Lande, J., Esler, A. N., Hewitt, A., & Gunty, A. L. (2021). Age of initial identification of autism spectrum disorder in a diverse urban sample. Journal of Autism and Developmental Disorders, 51, 798–803.

    Article  PubMed  Google Scholar 

  • Harris, B., Barton, E. E., & Albert, C. (2014). Evaluating autism diagnostic and screening tools for cultural and linguistic responsiveness. Journal of Autism and Developmental Disorders, 44(6), 1275–1287. https://doi.org/10.1007/s10803-013-1991-8

    Article  PubMed  Google Scholar 

  • Harris, B., Brunson McClain, M., Haverkamp, C., Cruz, R., Benallie, K., & Benney, C. (2019). School-based assessment of autism spectrum disorder among culturally and linguistically diverse children.pdf. Professional Psychology: Research and Practice, 50(5), 323.

    Article  Google Scholar 

  • Harris, B., McClain, M. B., Schwartz, S., & Haverkamp, C. R. (2020). Knowledge of autism spectrum disorder among school psychology graduate students. Contemporary School Psychology, 24(2), 239–247. https://doi.org/10.1007/s40688-019-00266-9

    Article  Google Scholar 

  • Harrison, A. J., Long, K. A., Tommet, D. C., & Jones, R. N. (2017). Examining the role of race, ethnicity, and gender on social and behavioral ratings within the autism diagnostic observation schedule. Journal of Autism and Developmental Disorders, 47(9), 2770–2782. https://doi.org/10.1007/s10803-017-3176-3

    Article  PubMed  Google Scholar 

  • Hewitt, A., Hall-Lande, J., Hamre, K., Esler, A. N., Punyko, J., Reichle, J., & Gulaid, A. A. (2016). Autism spectrum disorder (ASD) prevalence in Somali and non-Somali children. Journal of Autism and Developmental Disorders, 46, 2599–2608.

    Article  PubMed  Google Scholar 

  • Huerta, M., & Lord, C. (2012). Diagnostic evaluation of autism spectrum disorders. Pediatric Clinics of North America, 59(1), 103–111. https://doi.org/10.1016/j.pcl.2011.10.018

    Article  PubMed  PubMed Central  Google Scholar 

  • Individuals with Disabilities Education Act (IDEA). (2004). 300.111 Child Find. https://sites.ed.gov/idea/regs/b/b/300.111

  • Jo, H., Schieve, L. A., Rice, C. E., Yeargin-Allsopp, M., Tian, L. H., Blumberg, S. J., Kogan, M. D., & Boyle, C. A. (2015). Age at autism spectrum disorder (ASD) diagnosis by race, ethnicity, and primary household language among children with special health care needs, United States, 2009–2010. Maternal and Child Health Journal, 19(8), 1687–1697. https://doi.org/10.1007/s10995-015-1683-4

    Article  PubMed  PubMed Central  Google Scholar 

  • Kalb, L. G., Singh, V., Hong, J. S., Holingue, C., Ludwig, N. N., Pfeiffer, D., Reetzke, R., Gross, A. L., & Landa, R. (2022). Analysis of race and sex bias in the autism diagnostic observation schedule (ADOS-2). JAMA Network Open, 5(4), E229498. https://doi.org/10.1001/jamanetworkopen.2022.9498

    Article  PubMed  PubMed Central  Google Scholar 

  • Kim, H.-Y. (2017). Statistical notes for clinical researchers: Chi-squared test and Fisher’s exact test. Restorative Dentistry & Endodontics, 42(2), 152. https://doi.org/10.5395/rde.2017.42.2.152

    Article  Google Scholar 

  • Koegel, L. K., Koegel, R. L., Ashbaugh, K., & Bradshaw, J. (2014). The importance of early identification and intervention for children with or at risk for autism spectrum disorders. International Journal of Speech-Language Pathology, 16(1), 50–56. https://doi.org/10.3109/17549507.2013.861511

    Article  PubMed  Google Scholar 

  • Liptak, G. S., Benzoni, L. B., Mruzek, D. W., Nolan, K. W., Thingvoll, M. A., Wade, C. M., & Fryer, G. E. (2008). Disparities in diagnosis and access to health services for children with autism: Data from the National Survey of Children. Journal of Developmental & Behavioral Pediatrics, 29, 152–160. https://doi.org/10.1097/DBP.0b013e318165c7a0

    Article  Google Scholar 

  • Liu, B. M., Paskov, K., Kent, J., McNealis, M., Sutaria, S., Dods, O., Harjadi, C., Stockham, N., Ostrovsky, A., & Wall, D. P. (2023). Racial and ethnic disparities in geographic access to autism resources across the US. JAMA Network Open, 6(1), e2251182. https://doi.org/10.1001/jamanetworkopen.2022.51182

    Article  PubMed  PubMed Central  Google Scholar 

  • Lord, C., Charman, T., Havdahl, A., Carbone, P., Anagnostou, E., Boyd, B., Carr, T., de Vries, P. J., Dissanayake, C., Divan, G., Freitag, C. M., Gotelli, M. M., Kasari, C., Knapp, M., Mundy, P., Plank, A., Scahill, L., Servili, C., Shattuck, P., & McCauley, J. B. (2022). The Lancet Commission on the future of care and clinical research in autism. The Lancet, 399(10321), 271–334.

    Article  Google Scholar 

  • Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The Lancet, 392(10146), 508–520.

    Article  Google Scholar 

  • Luelmo, P., Hall, L. J., & Estrellado, R. (2022). Examination of racial/ethnic disproportionality of autism in California. Research in Autism Spectrum Disorders, 96, 102001. https://doi.org/10.1016/j.rasd.2022.102001

    Article  Google Scholar 

  • Maenner, M., Schieve, L. A., Rice, C., Cunniff, C., Giarelli, E., Kirby, R. S., Lee, L.-C., Nicholas, J., Wingate, M. S., & Durkin, M. (2013). Frequency and pattern of documented diagnostic features and the age of autism identification. American Academy of Child and Adolescent Psychiatry, 52(4), 401–413. https://doi.org/10.1016/j.jaac.2013.01.014

    Article  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.-C., 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), 1–16.

  • Maenner, M. J., Shaw, K. A., Bakian, A. V., Bilder, D. A., Durkin, M. S., Esler, A., Furnier, S. M., Hallas, L., Hall-Lande, J., Hudson, A., Hughes, M. M., Patrick, M., Pierce, K., Poynter, J. N., Salinas, A., Shenouda, J., Vehorn, A., Warren, Z., Constantino, J. N., ... Cogswell, M. E. (2021). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2018. MMWR Surveillance Summaries, 70(11), 1.

  • Maenner M. J., Warren Z., Williams A. R., Amoakohene, E., Bakian, A. V., Bilder, D. A., Durkin, M. S., Fitzgerald, R. T., Furnier, S. M., Hughes, M. M., Ladd-Acosta, C. M., McArthur, D., Pas, E., T., Salinas, A., Vehorn, A., Williams, S., Esler, A., Grzybowski, A., Hall-Lande, J., … Shaw, K. A. (2023). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2020. MMWR Surveillance Summaries, 72(SS-2): 1–14.

  • Mandell, D. S., Ittenbach, R., & Levy, S. (2007). Disparities in Diagnosis Received Prior to a Diagnosis of Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 37(9), 1795–1802. https://doi.org/10.1007/s10803-006-0314-8.Disparities

    Article  PubMed  Google Scholar 

  • Mandell, D. S., Listerud, J., Levy, S., & Pinto-Martin, J. A. (2002). Race difference in the age at diagnosis among medicaid-eligible children with autism. American Academy of Child and Adolescent Psychiatry, 41(12), 1447–1453.

    Article  Google Scholar 

  • Mandell, D. S., Wiggins, L. D., Carpenter, L. A., Daniels, J., DiGuiseppi, C., Durkin, M. S., Giarelli, E., Morrier, M. J., Nicholas, J. S., Pinto-Martin, J. A., Shattuck, P. T., Thomas, K. C., Yeargin-Allsopp, M., & Kirby, R. S. (2009). Racial/ethnic disparities in the identification of children with autism spectrum disorders. American Journal of Public Health, 99(3), 493–498. https://doi.org/10.2105/AJPH.2007.131243

    Article  PubMed  PubMed Central  Google Scholar 

  • McDonald, C. A., Donnelly, J. P., Feldman-Alguire, A. L., Rodgers, J. D., Lopata, C., & Thomeer, M. L. (2019). Special education service use by children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 49, 2437–2446.

    Article  PubMed  Google Scholar 

  • McNally Keehn, R., Ciccarelli, M., Szczepaniak, D., Tomlin, A., Lock, T., & Swigonski, N. (2020). A statewide tiered system for screening and diagnosis of autism spectrum disorder. Pediatrics, 146(2), e20193876.

    Article  PubMed  Google Scholar 

  • Morrier, M. J., Hess, K. L., & Heflin, L. J. (2008). Ethnic disproportionality in students with autism spectrum disorder. Multicultural Education, 16(1), 31–38.

    Google Scholar 

  • Norbury, C. F., & Sparks, A. (2013). Difference or disorder? Cultural issues in understanding neurodevelopmental disorders. Developmental Psychology, 49(1), 45.

    Article  PubMed  Google Scholar 

  • Nowell, K. P., Brewton, C. M., Allain, E., & Mire, S. S. (2015). The influence of demographic factors on the identification of autism spectrum disorder: A review and call for research. Review Journal of Autism and Developmental Disorders, 2(3), 300–309. https://doi.org/10.1007/s40489-015-0053-x

    Article  Google Scholar 

  • Ozonoff, S., Goodlin-Jones, B. L., & Solomon, M. (2005). Evidence-based assessment of autism spectrum disorders in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34(3), 523–540. https://doi.org/10.1207/s15374424jccp3403_8

    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(1), 125–130. https://doi.org/10.2105/AJPH.2003.023077

    Article  PubMed  PubMed Central  Google Scholar 

  • Palmer, R. F., Walker, T., Mandell, D., Bayles, B., & Miller, C. S. (2010). Explaining low rates of autism among hispanic schoolchildren in Texas. American Journal of Public Health, 100(2), 270–272. https://doi.org/10.2105/AJPH.2008.150565

    Article  PubMed  PubMed Central  Google Scholar 

  • Pettygrove, S., Pinborough-Zimmerman, J., John Meaney, F., Van Naarden Braun, K., Nicholas, J., Miller, L., Miller, J., & Rice, C. (2013). Predictors of ascertainment of autism spectrum disorders across nine us communities. Journal of Autism and Developmental Disorders, 43(8), 1867–1879. https://doi.org/10.1007/s10803-012-1732-4

    Article  PubMed  Google Scholar 

  • Raspa, M., Levis, D. M., Kish-Doto, J., Wallace, I., Rice, C., Barger, B., & Wolf, R. B. (2015). Examining parents’ experiences and information needs regarding early identification of developmental delays: Qualitative research to inform a public health campaign. Journal of Developmental and Behavioral Pediatrics: JDBP, 36(8), 575.

    Article  PubMed  Google Scholar 

  • Ravindran, N., & Myers, B. J. (2012). Cultural influences on perceptions of health, illness, and disability: A review and focus on autism. Journal of Child and Family Studies, 21(2), 311–319. https://doi.org/10.1007/s10826-011-9477-9

    Article  Google Scholar 

  • Risi, S., Lord, C., Gotham, K., Corsello, C., Chrysler, C., Szatmari, P., Cook, E. H., Leventhal, B. L., & Pickles, A. (2006). Combining information from multiple sources in the diagnosis of autism spectrum disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 45(9), 1094–1103. https://doi.org/10.1097/01.chi.0000227880.42780.0e

    Article  PubMed  Google Scholar 

  • Safran, S. P. (2008). Why youngsters with autistic spectrum disorders remain underrepresented in special education. Remedial and Special Education, 29(2), 90–95. https://doi.org/10.1177/0741932507311637

    Article  Google Scholar 

  • Shattuck, P. T., Durkin, M., Maenner, M., Newschaffer, C., Mandell, D. S., Wiggins, L., & Cuniff, C. (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 & Adolescent Psychiatry, 48(5), 474–483.

    Article  Google Scholar 

  • Soto, S., Linas, K., Jacobstein, D., Biel, M., Migdal, T., & Anthony, B. J. (2015). A review of cultural adaptations of screening tools for autism spectrum disorder. Autism, 19(6), 646–661.

    Article  PubMed  Google Scholar 

  • Sullivan, A. (2013). School-based autism identification: Prevalence, racial disparities, and systemic correlates. School Psychology Review, 42(3), 298–316.

    Article  Google Scholar 

  • Sullivan, A., & Artiles, A. (2011). Theorizing racial inequity in special education: Applying structural inequity theory to disproportionality. Urban Education, 46(6), 1526–1552. https://doi.org/10.1177/0042085911416014

    Article  Google Scholar 

  • Sullivan, A., & Bal, A. (2013). Disproportionality in special education: Effects of individual and school variables on disability risk. Exceptional Children, 79(4), 475–494. https://doi.org/10.1177/001440291307900406

    Article  Google Scholar 

  • Sturm, A., Williams, J., & Kasari, C. (2021). Who gains and who loses? Sociodemographic disparities in access to special education services among autistic students. Autism Research, 14(8), 1621–1632.

    Article  PubMed  Google Scholar 

  • Tek, S., & Landa, R. J. (2012). Difference in autism symptoms between minority and non-minority toddlers. Journal of Autism and Developmental Disorders, 42(9), 1967–1973. https://doi.org/10.1007/s10803-012-1445-8.Differences

    Article  PubMed  PubMed Central  Google Scholar 

  • Thomas, J. (2016). Decoding eligibility under the idea: Interpretations of adversely affect educational performance. Campbell Law Review, 38(1), 3–108.

    Google Scholar 

  • Travers, J., & Krezmien, M. (2018). Racial disparities in autism identification in the United States during 2014. Exceptional Children, 84(4), 403–419.

    Article  Google Scholar 

  • U.S. Department of Education, National Center for Education Statistics. (2019). Digest of Education Statistics, 2018 (NCES 2020-009)

  • Vanegas, S. B., Magaña, S., Morales, M., & McNamara, E. (2016). Clinical validity of the ADI-R in a US-based Latino population. Journal of Autism and Developmental Disorders, 46(5), 1623–1635. https://doi.org/10.1007/s10803-015-2690-4

    Article  PubMed  PubMed Central  Google Scholar 

  • Vanegas, S. B. (2021). Examining factors related to the age of diagnosis of children with autism spectrum disorder from immigrant and non-immigrant backgrounds in a diverse clinical sample. Autism Research, 14(6), 1260–1270.

    Article  PubMed  Google Scholar 

  • Wei, X., Wagner, M., Christiano, E. R., Shattuck, P., & Yu, J. W. (2014). Special education services received by students with autism spectrum disorders from preschool through high school. The Journal of Special Education, 48(3), 167–179.

    Article  PubMed  PubMed Central  Google Scholar 

  • Williams, L. W., Matson, J. L., Beighley, J. S., & Konst, M. (2015). Ethnic disparities in early autism assessment: A large scale screening study of infants and toddlers. Journal of Developmental and Physical Disabilities, 27(2), 141–148. https://doi.org/10.1007/s10882-014-9406-0

    Article  Google Scholar 

  • Wiggins, L., Baio, J., & Rice, C. (2006). Examination of the time between first evaluation and first autism spectrum diagnosis in a population-based sample. Journal of Developmental and Behavioral Pediatrics, 27, S79–S87. https://doi.org/10.1097/00004703-200604002-00005

    Article  PubMed  Google Scholar 

  • Wiggins, L. D., Durkin, M., Esler, A., Lee, L. C., Zahorodny, W., Rice, C., Yeargin-Allsopp, M., Dowling, N. F., Hall-Lande, J., Morrier, M. J., Christensen, D., Shenouda, J., & Baio, J. (2020). Disparities in documented diagnoses of autism spectrum disorder based on demographic, individual, and service factors. Autism research : official journal of the International Society for Autism Research, 13(3), 464–473. https://doi.org/10.1002/aur.2255

    Article  PubMed  Google Scholar 

  • Zuckerman, K. E., Lindly, O. J., Reyes, N. M., Chavez, A. E., Macias, K., Smith, K. N., & Reynolds, A. (2017). Disparities in diagnosis and treatment of autism in latino and non-Latino white families. Pediatrics. https://doi.org/10.1542/peds.2016-3010

    Article  PubMed  PubMed Central  Google Scholar 

  • Zuckerman, K. E., Mattox, K., Donelan, K., Batbayar, O., Baghaee, A., & Bethell, C. (2013). Pediatrician identification of Latino children at risk for autism spectrum disorder. Pediatrics, 132(3), 445–453. https://doi.org/10.1542/peds.2013-0383

    Article  PubMed  PubMed Central  Google Scholar 

  • Zwaigenbaum, L., Bauman, M. L., Stone, W. L., Yirmiya, N., Estes, A., Hansen, R. L., McPartland, J. C., Natowicz, M. R., Choueiri, R., Fein, D., Kasari, C., Pierce, K., Buie, T., Carter, A., Davis, P. A., Granpeesheh, D., Mailloux, Z., Newschaffer, C., Robins, D., … Wetherby, A. (2015). Early identification of autism spectrum disorder: recommendations for practice and research. PEDIATRICS, 136(Supplement), S10–S40. https://doi.org/10.1016/0921-4534(93)90929-K

Download references

Funding

The authors did not receive support from any organization for the submitted work.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Kelsey Young, Bryn Harris, and Amy Esler. The first draft of the manuscript was written by Kelsey Young and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kelsey Young.

Ethics declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Ethical Approval

Approval was obtained from the human research ethics committee of the University of Minnesota; Twin Cities. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 27 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Young, K., Harris, B., Hall-Lande, J. et al. The Intersection of Systemic, Child, and Evaluation Factors in the Prediction of Autism Special Education Eligibility; Examining the Role of Race and Ethnicity. J Autism Dev Disord (2023). https://doi.org/10.1007/s10803-023-06059-7

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10803-023-06059-7

Keywords

Navigation