We conducted a best-evidence synthesis of 22 studies to examine whether systemic bias explained minority disproportionate overrepresentation in special education. Of the total regression model estimates, only 7/168 (4.2%), 14/208 (6.7%), 2/37 (5.4%), and 6/91 (6.6%) indicated statistically significant overrepresentation for Hispanic, Asian, Native American, and English language learner (ELL) or language-minority children, respectively. Among studies with the strongest internal and external validity, none of the 90 estimates (i.e., 0%) indicated overrepresentation attributable to racial or ethnic bias. Of the 18 estimates for language-minority and ELL children combined, only 3 (16.7%) indicated overrepresentation attributable to language use. Two of the 4 ELL-specific estimates (50%) indicated that children receiving English-as-a-second-language services may be overrepresented in special education. Overall, and replicating findings from a prior best-evidence synthesis, this synthesis indicated that children are underidentified as having disabilities based on their race or ethnicity and language use.
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References
1.
Aarnoudse-MoensC. S. H.Weisglas-KuperusN.van GoudoeverJ. B.OosterlaanJ. (2009). Meta-analysis of neurobehavioral outcomes in very preterm and/or very low birth weight children. Pediatrics, 124, 717–728. doi:10.1542/peds.2008-2816
2.
AbidinR. R.RobinsonL. L. (2002). Stress, biases, or professionalism what drives teachers’ referral judgments of students with challenging behaviors?Journal of Emotional and Behavioral Disorders, 10, 204–212. doi:10.1177/10634266020100040201
3.
AlbrechtS. F.SkibaR. J.LosenD. J.ChungC. G.MiddelbergL. (2012). Federal policy on disproportionality in special education Is it moving us forward?Journal of Disability Policy Studies, 23, 14–25. doi:10.1177/1044207311407917
4.
*AndersonJ. A.HowlandA. A.McCoachD. B. (2015). Parental characteristics and resiliency in identification rates for special education. Preventing School Failure: Alternative Education for Children and Youth, 59, 63–72. doi:10.1080/1045988X.2013.837811
5.
ArtilesA. J. (1998). The dilemma of difference: Enriching the disproportionality discourse with theory and context. The Journal of Special Education, 32, 32–36. doi:10.1177/002246699803200105
6.
ArtilesA. J.KozleskiE. B.TrentS. C.OsherD.OrtizA. (2010). Justifying and explaining disproportionality, 1968– 2008: A critique of underlying views of culture. Exceptional Children, 76, 279–299. doi:10.1177/001440291007600303
7.
ArtilesA. J.RuedaR.SalazarJ. J.HigaredaI. (2005). Within group diversity in minority disproportionate representation: English language learners in urban schools. Exceptional Children, 71, 283–300. doi:10.1177/001440290507100305
8.
BlanchettW. J. (2006). Disproportionate representation of African American students in special education: Acknowledging the role of white privilege and racism. Educational Researcher, 35, 24–28. doi:10.3102/00131 89X035006024
9.
BrotanekJ. M.SeeleyC. E.FloresG. (2008). The importance of cultural competency in general pediatrics. Current Opinion in Pediatrics, 20, 711–718. doi:10.1097/MOP.0b013e328317efff
10.
Burdick-WillJLudwigJ.RaudenbushS.SampsonR.SanbonmatsuR.SharkeyP. (2011). Converging evidence for neighborhood effects on children’s test scores: An experimental, quasi-experimental, and observational comparison. In DuncanG.MurnaneR. (Eds.), Whither opportunity? Rising inequality, schools, and children’s life chances (pp. 255–276). New York, NY: Russell Sage.
11.
CardD.GiulianoL. (2015). Can universal screening increase the representation of low income and minority students in gifted education? (No. w21519). Cambridge, MA: National Bureau of Economic Research. doi:10.3386/w21519
12.
ClaycombC. D.RyanJ. J.MillerL. J.Schakenberg-OttS. D. (2004). Relationships among attention deficit hyperactivity disorder, induced labor, and selected physiological and demographic variables. Journal of Clinical Psychology, 60, 689–693. doi:10.1002/jclp.10238
13.
CodringtonJ.FairchildH. H. (2012). Special education and the mis-education of African American children: A call to action. Washington, DC: Association of Black Psychologists.
14.
CoutinhoM. J.OswaldD. P. (2000). Disproportionate representation in special education: A synthesis and recommendations. Journal of Child and Family Studies, 9, 135–156. doi:10.1023/A:1009462820157
15.
*CoutinhoM. J.OswaldD. P.BestA. M. (2002). The influence of socio-demographics and gender on the disproportionate identification of minority students as learning disabled. Remedial and Special Education, 23, 49–59. doi:10.1177/074193250202300107
16.
*CoutinhoM. J.OswaldD. P.BestA. M.FornessS. R. (2002). Gender and sociodemographic factors and the disproportionate identification of culturally and linguistically diverse students with emotional disturbance. Behavioral Disorders, 27, 109–125. doi.org/10.1177/019874290202700202
17.
DanielsV. I. (1998). Minority students in gifted and special education programs: The case for educational equity. The Journal of Special Education, 32, 41–43. doi:10.1177/002246699803200107
18.
DelpitL. D. (1995). Other people’s children: Cultural conflict in the classroom. New York, NY: New Press.
19.
DonovanS.CrossC. T. (Eds.). (2002). Minority students in special and gifted education. Washington, DC: National Academies Press.
20.
*DragooK. E. (2013). Characteristics, predictors, and growth trajectories of children who exit special education compared to their general and special education peers. Available from ProQuest Dissertations and Theses database. (UMI No. 3599450)
21.
DunnL. M. (1968). Special education for the mildly retarded: Is much of it justifiable?Exceptional Children, 35, 5–22.
22.
FishR. E. (2016). The racialized construction of exceptionality: Experimental evidence of race/ethnicity effects on teachers’ interventions. Social Science Research, 62, 317–334. doi:10.1016/j.ssresearch.2016.08.007
23.
FitzgeraldJ. L.WatkinsM. W. (2006). Parents’ rights in special education: The readability of procedural safeguards. Exceptional Children, 72, 497–510. doi:10.1177/001440290607200407
24.
FloresG. (2009). Devising, implementing, and evaluating interventions to eliminate health care disparities in minority children. Pediatrics, 124, S214–S223. doi:10.1542/peds.2009-1100j
25.
FloresG., & Committee on Pediatric Research. (2010). Technical report: Racial and ethnic disparities in health and health care of children. Pediatrics, 125, e979–e1020. doi:10.1542/peds.2010-0188
26.
*ForanM. O. (2007). Representational status of minority students in special education in the state of Rhode Island (Doctoral dissertation). Available from ProQuest Dissertations and Theses database. (UMI No. 3276983)
27.
Garrick DuhaneyL. M. (2014). Disproportionate representation in special education: A persistent stain in the field. In ObiakorF. E.RotatoriA. F. (Eds.), Multicultural education for learners with special needs in the twenty-first century (pp. 101–124). Charlotte, NC: Information Age.
28.
GearyD. C. (2011). Consequences, characteristics, and causes of mathematical learning disabilities and persistent low achievement in mathematics. Journal of Developmental and Behavioral Pediatrics, 32, 250–263. doi:10.1097/DBP.0b013e318209edef
29.
GillbornD.RollockN.VincentC.BallS. J. (2016). The Black middle classes, education, racism, and dis/ability: An intersectional analysis. In ConnorD. J.FerriB. A.AnnammaS. A. (Eds.), DisCrit: Disability studies and critical race theory in education (pp. 35–54). New York, NY: Teachers College Press.
30.
GoodladJ. K.MarcusD. K.FultonJ. J. (2013). Lead and attention-deficit/hyperactivity disorder (ADHD) symptoms: A meta-analysis. Clinical Psychology Review, 33, 417–425. doi:10.1016/j.cpr.2013.01.009
31.
GrissomJ. A.ReddingC. (2016). Discretion and disproportionality: Explaining the underrepresentation of high-achieving students of color in gifted programs. AERA Open, 2, 1–25. doi:10.1177/2332858415622175
32.
GrunauR. E.WhitfieldM. F.DavisC. (2002). Pattern of learning disabilities in children with extremely low birth weight and broadly average intelligence. Archives of Pediatrics & Adolescent Medicine, 156, 615–620. doi:10.1001/archpedi.156.6.615
33.
*GuarinoC. M.BuddinR.PhamC.ChoM. (2010). Demographic factors associated with the early identification of children with special needs. Topics in Early Childhood Special Education, 30, 162–175. doi:10.1177/0271121409349273
34.
GuerreroA. D.RodriguezM. A.FloresG. (2011). Disparities in provider elicitation of parents’ developmental concerns for US children. Pediatrics, 128, 901–909. doi:10.1542/peds.2011-0030
35.
HartB.RisleyT. R. (1995). Meaningful differences in the everyday experience of young American children. Baltimore, MD: Brookes.
36.
HellerK. A.HoltzmanW. H.MessickS. (Eds.). (1982). Placing children in special education: A strategy for equity. Washington, DC: National Academy Press.
37.
*HibelJ.FairclothS. C.FarkasG. (2008). Unpacking the placement of American Indian and Alaska Native students in special education programs and services in the early grades: School readiness as a predictive variable. Harvard Education Review, 78, 498–528. doi:10.17763/haer.78.3.8w010nq4u83348q5
38.
*HibelJ.FarkasG.MorganP. L. (2010). Who is placed into special education?Sociology of Education, 83, 312–332. doi:10.1177/00384040710383518
39.
*HibelJ.JasperA. D. (2012). Delayed special education placement for learning disabilities among children of immigrants. Social Forces, 91, 503–530. doi:10.1093/sf/sos092
40.
HigginsJ.GreenS. (Eds.). (2011). Handbook for systematic reviews of interventions. Chichester, UK: Cochrane Collaboration.
41.
HospJ. L.ReschlyD. J. (2003). Referral rates for intervention or assessment: A meta-analysis of racial differences. The Journal of Special Education, 37, 67–80. doi:10.1177/00224669030370020201
42.
HospJ. L.ReschlyD. J. (2004). Disproportionate representation of minority students in special education: Academic, demographic, and economic predictors. Exceptional Children, 70, 185–199. doi:10.1177/001440290407000204
43.
HostermanS. J.DuPaulG. J.JitendraA. K. (2008). Teacher ratings of ADHD symptoms in ethnic minority students: Bias or behavioral difference?School Psychology Quarterly, 23, 418–435. doi:10.1037/a0012668
44.
IDEA regulations, 34 C.F.R. § 300 (2016).
45.
Individuals With Disabilities Education Act, 20 U.S.C. §§ 1400 e seq. (2006 & Supp. V. 2011).
46.
LanderlK.MollK. (2010). Comorbidity of learning disorders: Prevalence and familial transmission. Journal of Child Psychology and Psychiatry, 51, 287–294. doi:10.1111/j.1469-7610.2009.02164.x
47.
LosenD. J.OrfieldG. (2002). Racial inequality in special education. Cambridge, MA: Harvard Education Press.
48.
LosenD. J.WelnerK. G. (2001). Disabling discrimination in our public schools: Comprehensive legal challenges to inappropriate and inadequate special education services for minority children. Harvard Civil Rights–Civil Liberties Law Review, 36, 407–460.
49.
MacMillanD. L.GreshamF. M.LopezM. F.BocianK. M. (1996). Comparison of students nominated for prereferral interventions by ethnicity and gender. The Journal of Special Education, 30, 133–151. doi.org/10.1177/002246699603000202
50.
MacMillanD. L.ReschlyD. J. (1998). Overrepresentation of minority students: The case for greater specificity or reconsideration of the variables examined. The Journal of Special Education, 32, 15–24. doi:10.1177/002246699803200103
51.
MadsenK.ThompsonH.AdkinsA.CrawfordY. (2013). School-community partnerships: A cluster-randomized trial of an after-school soccer program. JAMA Pediatrics, 167, 321–326. doi:10.1001/jama- pediatrics.2013.1071
52.
MakelM. C.PluckerJ. A.FreemanJ.LombardiA.SimonsenB.CoyneM. (2016). Replication of special education research: Necessary but far too rare. Remedial and Special Education, 37, 205–212. doi:10.1177/0741932516646083
53.
MandicC. G.RuddR.HehirT.Acevedo-GarciaD. (2012). Readability of special education procedural safeguards. The Journal of Special Education, 45, 195–203. doi:10.1177/0022466910362774
54.
*MannE. A.McCartneyK.ParkJ. M. (2007). Preschool predictors of the need for early remedial and special education services. Elementary School Journal, 107, 273–285. doi:10.1086/511707
55.
MillerT. W.NiggJ. T.MillerR. L. (2009). Attention deficit hyperactivity disorder in African American children: What can be concluded from the past ten years?Clinical Psychology Review, 29, 77–86. doi:10.1016/j.cpr.2008.10.001
56.
MollK.KunzeS.NeuhoffN.BruderJ.Schulte-KörneG. (2014). Specific learning disorder: Prevalence and gender differences. PLoS One, 9, e103537. doi:10.1371/journal.pone.0103537
57.
MorganP. L.FarkasG. (2016a). Are we helping all the children that we are supposed to be helping?Educational Researcher, 45, 226–228.
58.
MorganP. L.FarkasG. (2016b). Evidence of minority underrepresentation in special education and its implications for school psychologists. NASP Communique, 44, 30–33.
59.
MorganP. L.FarkasG.CookM.StrassfeldN. M.HillemeierM. M.PunW. H.SchusslerD. L. (2017). Are Black children disproportionately overrepresented in special education? A best-evidence synthesis. Exceptional Children, 83, 181–198. doi.org/10.1177/0014402916664042
60.
*MorganP. L.FarkasG.HillemeierM. M.MaczugaS. (2012). Are minority children disproportionately represented in early intervention and early childhood special education?Educational Researcher, 41, 339–351. doi:10.3102/0013189X12459678
61.
*MorganP. L.FarkasG.HillemeierM.MattisonR.LiH.CookM. (2015). Minorities are disproportionately under-represented in special education: Longitudinal evidence across five disability conditions. Educational Researcher, 44, 278–292. doi:10. 3102/0013189X15591157
62.
MorganP. L.StaffJ.HillemeierM. M.FarkasG.MaczugaS. (2013). Racial and ethnic disparities in ADHD diagnosis from kindergarten to eighth grade. Pediatrics, 132, 85–93. doi:10.1542/peds.2012-2390
63.
MorsyL.RothsteinR. (2015). Five social disadvantages that depress student performance: why schools alone can’t close achievement gaps (Report). Washington, DC: Economic Policy Institute.
64.
*MuschkinC. G.LaddH. F.DodgeK. A. (2015). Impact of North Carolina’s early childhood initiatives on special education placements in third grade. Educational Evaluation and Policy Analysis, 37, 478–500. doi.org/10.3102/0162373714559096
National Research Council. (2004). Measuring racial discrimination. Washington, DC: National Academies Press.
67.
O’ConnorM. J.PaleyB. (2009). Psychiatric conditions associated with prenatal alcohol exposure. Developmental Disabilities Research Reviews, 15, 225–234. doi:10.1002/ddrr.74
68.
*Ong-DeanC. (2006). High roads and low roads: Learning disabilities in California, 1976–1998. Sociological Perspectives, 49, 91–113. doi:10.1525/sop.2006.49.1.91
69.
OswaldD. P.CoutinhoM. J.BestA. M. (2002). Community and school predictors of overrepresentation of minority children in special education. In LosenD. J.OrfieldG. (Eds.), Racial inequity in special education (pp. 1–13), Cambridge, MA: Harvard Civil Rights Project.
70.
*OswaldD. P.CoutinhoM. J.BestA. M.NguyenN. (2001). Impact of sociodemographic characteristics on the identification rates of minority students as having mental retardation. Mental Retardation, 39, 351–367. doi:10.1352/0047-6765(2001)039<0351:IOSCOT>2.0.CO;2
71.
OswaldD. P.CoutinhoM. J.BestA. M.SinghN. (1999). Ethnic representation in special education, the influence of school-related economic and demographic variables. The Journal of Special Education, 32, 194–206. doi:10.1177/002246699903200401
72.
ParrishT. (2002). Racial disparities in the identification, funding, and provision of special education. In LosenD. J.OrfieldG. (Eds.), Racial inequality in special education (pp. 15–37). Cambridge, MA: Harvard Education Press.
73.
PayneN. R.PuumalaS. E. (2013). Racial disparities in ordering laboratory and radiology tests for pediatric patients in the emergency department. Pediatric Emergency Care, 29, 598–606. doi:10.1097/PEC.0b013e31828e6489
RobinsonW. S. (1950). Ecological correlations and the behavior of individuals. American Sociological Review, 15, 351. doi:10.2307/2087176
76.
*RuedelK. L. (2008). Examining the impact of student-level and school-level variables on the disproportionate representation of minority students in special education using data from the Early Childhood Longitudinal Study–Kindergarten Cohort. Available from ProQuest Dissertations and Theses database. (UMI No. 3341441)
77.
*SamsonJ. F.LesauxN. K. (2009). Language-minority learners in special education: Rates and predictors of identification for services. Journal of Learning Disabilities, 42, 148–162. doi:10.1177/0022219408326221
78.
SharkeyP. (2013). Stuck in place: Urban neighborhoods and the end of progress toward racial equality. Chicago, IL: University of Chicago Press.
79.
ShawD. S.OwensE. B.GiovannelliJ.WinslowE. B. (2001). Infant and toddler pathways leading to early externalizing disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 36–43. doi:10.1097/00004583-200101000-00014
80.
ShaywitzS. E.ShaywitzB. A.FletcherJ. M.EscobarM. D. (1990). Prevalence of reading disability in boys and girls: Results of the Connecticut Longitudinal Study. JAMA, 264, 998–1002. doi:10.1001/jama.1990.03450080084036
81.
*ShifrerD.MullerC.CallahanR. (2011). Disproportionality and learning disabilities: Parsing apart race, socioeconomic status, and language. Journal of Learning Disabilities, 44, 246–257. doi:10.1177/0022219410374236
82.
SirinS. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75, 417–453. doi:10.3102/00346543075003417
83.
SkibaR. (2013). CCBD’S position summary on federal policy on disproportionality in special education. Behavioral Disorders, 38, 108–120. doi:10.1177/019874291303800202
84.
SkibaR. J.Poloni-StaudingerL.GalliniS.SimmonsA. B.Feggins-AzzizR. (2006). Disparate access: The disproportionality of African American students with disabilities across educational environments. Exceptional Children, 72, 411–424. doi.org/10.1177/001440290607200402
85.
SkibaR. J.Poloni-StaudingerL.SimmonsA. B.Feggins-AzzizL. R.ChungC. (2005). Unproven links: Can poverty explain ethnic disproportionality in special education?The Journal of Special Education, 39, 130–144. doi:10.1177/00224669050390030101
86.
SkibaR. J.SimmonsA. B.RitterS.GibbA. C.RauschM. K.CuadradoJ.ChungC. (2008). Achieving equity in special education: History, status, and current challenges. Exceptional Children, 74, 264–288. doi:10.1177/001440290807400301
87.
SlavinR. E. (1986). Best-evidence synthesis: An alternative to meta-analytic and traditional reviews. Educational Researcher, 15, 5–11. doi:10.3102/0013189X015009005
88.
*StrandS.LindsayG. (2009). Evidence of ethnic disproportionality in special education in an English population. The Journal of Special Education, 43, 174–190. doi:10.1177/0022466908320461
89.
SullivanA. L. (2013). School-based autism identification: Prevalence, racial disparities, and systemic correlates. School Psychology Review, 42, 298–316.
90.
*SullivanA. L.BalA. (2013). Disproportionality in special education: Effects of individual and school variables on disability risk. Exceptional Children, 79, 475–494. doi:10.1177/001440291307900406
91.
SwellerN.GrahamL. J.Van BergenP. (2012). The minority report: Disproportionate representation in Australia’s largest education system. Exceptional Children, 79, 107–125. doi:10.1177/001440291207900106
92.
*TalbottE.FlemingJ.KarabatsosG.DobriaL. (2011). Making sense of minority student identification in special education: School context matters. International Journal of Special Education, 26, 150–170.
93.
TomblinJ. B.RecordsN. L.BuckwalterP.ZhangX.SmithE.O’BrienM. (1997). Prevalence of specific language impairment in kindergarten children. Journal of Speech, Language, and Hearing Research, 40, 1245–1260. doi:10.1044/jslhr.4006.1245
94.
U.S. Department of Education, Office of Special Education and Rehabilitative Services, Office of Special Eduction Programs. (2016). 38th annual report to Congress on the implementation of the Individuals with Disabilities Education Act, 2016. Washington, DC. Retrieved from https://www2.ed.gov/about/reports/annual/osep/2016/parts-b-c/38th-arc-for-idea.pdf
Van den BerghB. R.MarcoenA. (2004). High antenatal maternal anxiety is related to ADHD symptoms, externalizing problems, and anxiety in 8- and 9-year-olds. Child Development, 75, 1085–1097.
97.
Vernon-FeagansL.Garrett-PetersP.WilloughbyM.Mills-KoonceR. (2012). Chaos, poverty, and parenting: Predictors of early language development. Early Childhood Research Quarterly, 27, 339–351. doi:10.1016/j.ecresq.2011.11.001
98.
VillegasA. M.LucasT. (2002). Preparing culturally responsive teachers rethinking the curriculum. Journal of Teacher Education, 53, 20–32. doi:10.1177/0022487102053001003
99.
WaitollerF. R.ArtilesA. J.CheneyD. A. (2010). The miner’s canary: A review of over- representation research and explanations. The Journal of Special Education, 44, 29–49. doi:10.1177/0022466908329226
100.
WileyA. L.BrighamF. J.KauffmanJ. M.BoganJ. E. (2013). Disproportionate poverty, conservatism, and the disproportionate identification of minority students with emotional and behavioral disorders. Education and Treatment of Children, 36, 29–50.
101.
*YehM.FornessS. R.HoJ.McCabeK.HoughR. L. (2004). Parental etiological explanations and disproportionate racial/ethnic representation in special education services for youths with emotional disturbance. Behavioral Disorders, 29, 348–358.
102.
ZhangD.KatsiyannisA. (2002). Minority representation in special education: A persistent challenge. Remedial and Special Education, 23, 180–187. doi:10.1177/07419325020230030601
103.
ZhangD.KatsiyannisA.JuS.RobertsE. (2014). Minority representation in special education: 5-year trends. Journal of Child and Family Studies, 23, 118–127. doi:10.1007/ s10826-012-9698-6.
104.
ZuckermanK. E.MattoxK. M.SincheB. K.BlaschkeG. S.BethellC. (2014). Racial, ethnic, and language disparities in early childhood developmental/behavioral evaluations: A narrative review. Clinical Pediatrics, 53, 619–631. doi:10.1177/0009922813501378
105.
ZuckermanK. E.SincheB.MejiaA.CobianM.BeckerT.NicolaidisC. (2014). Latino parents’ perspectives on barriers to autism diagnosis. Academic Pediatrics, 14, 301–308. doi:10.1016/j.acap.2013.12.004
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