Estimating the Relationship Between Special Education De-Identification for Emotional Disturbance and Academic and School Discipline Outcomes: Evidence From Wisconsin’s Longitudinal Data

Abstract

Students placed in special education programs for emotional and behavioral disorders with emotional disturbance (ED) identification have academic outcomes that lag both students in regular and special education. This issue is especially important for youth attending urban schools. Although prior research has examined students identified as ED, little research has examined how students who experience de-identification fare with regard to academic or behavioral outcomes. To our knowledge, this is the first study to examine the relationship between ED de-identification and student outcomes in the United States. The study uses longitudinal, administrative data to estimate the relationship between special education de-identification from ED and both academic and school discipline outcomes. Results of regression models with a variety of fixed effects, including student fixed effects, suggest that students who are de-identified have higher academic achievement after de-identification and a lower probability of experiencing an in-school suspension (ISS). Results for out-of-school suspension (OSS) are mixed. The results suggest that appropriately timed exit from special education services for students with ED who have been determined by individualized education program (IEP) teams to be suitable for de-identification is unlikely to harm students academically but that extra attention to OSS may be needed. The results point to the need for more attention to de-identification.

Keywords

special education de-identification emotional disturbance academic achievement suspension longitudinal analysis

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References

Algozzine

Christenson

Ysseldyke

(1982). Probabilities associated with the referral to placement process. Teacher Education and Special Education, 5(3), 19–23.

Angrist

Pischke

(2009). Mostly harmless econometrics. Princeton University Press.

Bateman

B. D.

Linden

M. A.

(1998). Better IEPs: How to develop legally correct and educationally useful programs. Sopris West.

Blanchett

W. J.

Klingner

J. K.

Harry

(2009). The intersection of race, culture, language, and disability: Implications for urban education. Urban Education, 44(4), 389–409.

Brock

Schaefer

(2015). Location matters: Geographic location and educational placement of students with developmental disabilities. Research and Practice for Persons With Severe Disabilities, 40(2), 154–164.

Connor

D. J.

(2008). Urban narratives: Portraits in progress, life at the intersections of learning disability, race, and social class. Peter Lang.

Curran

F. C.

(2019). The law, policy, and portrayal of zero tolerance school discipline: Examining prevalence and characteristics across levels of governance and school districts. Educational Policy, 33(2), 319–349.

Dhuey

Lipscomb

(2010). Disabled or young? Relative age and special education diagnoses in schools. Economics of Education Review, 29(5), 857–872.

Donovan

Cross

C. T.

(2002). Minority students in special and gifted education. National Academy Press.

10.

Dunn

L. M.

(1968). Special education for the mildly retarded: Is much of it justifiable? Exceptional Children, 35, 5–22.

11.

Gage

N. A.

Grasley-Boy

Peshak George

Childs

Kincaid

(2019). A quasi-experimental design analysis of the effects of school-wide positive behavior interventions and supports on discipline in Florida. Journal of Positive Behavior Interventions, 21(1), 50–61.

12.

Gagnon

D. J.

Mattingly

M. J.

(2016). Most U.S. school districts have low access to school counselors: Poor, diverse, and city school districts exhibit particularly high student-to-counselor ratios (National Issue Brief No. 108). University of New Hampshire. https://files.eric.ed.gov/fulltext/ED573114.pdf

13.

Hanushek

E. A.

Kain

J. F.

Rivkin

S. G.

(2002). Inferring program effects for special populations: Does special education raise achievement for students with disabilities? Review of Economics and Statistics, 84(4), 584–599.

14.

Harry

Klingner

J. K.

(2014). Why are so many minority students in special education? Teachers College Press.

15.

Heller

Holtzman

Messick

(Eds.). (1982). Placing children in special education: A strategy for equity. National Academy Press.

16.

Heubert

J. P.

(2002). Disability, race, and high-stakes testing of students. In Losen

D. J.

Orfield

(Eds.), Racial inequity in special education (pp. 137–165). Harvard Education Press.

17.

Higgins

E. L.

Raskind

M. H.

Goldberg

R. J.

Herman

K. L.

(2002). Stages of acceptance of a learning disability: The impact of labeling. Learning Disability Quarterly, 25, 3–18.

18.

Horner

(2015, April). Linking academic and behavior supports through PBIS [Paper presentation]. Positive Behavioral Interventions and Supports: OSEP Technical Assistance Center. https://slideplayer.com/slide/6888473/

19.

Horoi

Ost

(2015). Disruptive peers and the estimation of teacher value added. Economics of Education Review, 49, 180–192.

20.

Individuals With Disabilities Education Improvement Act of 2004, 20 U, S,C, § 1400 et seq.(2004). Reauthorization of the Individuals with Disabilities Education Act of 1990.

21.

McGee

(2011). Skills, standards, and disabilities: How youth with learning disabilities fare in high school and beyond. Economics of Education Review, 30(1), 109–129.

22.

Morgan

P. L.

Farkas

Cook

Strassfeld

N. M.

Hillemeier

M. M.

Pun

W. H.

Schussler

D. L.

(2016). Are Black children disproportionately overrepresented in special education? A best-evidence synthesis. Exceptional Children, 83, 181–198.

23.

Morgan

P. L.

Farkas

Hillemeier

M. M.

Mattison

Maczuga

Cook

(2015). Minorities are disproportionately underrepresented in special education. Educational Researcher, 44, 278–292.

24.

Morgan

P. L.

Frisco

Farkas

Hibel

(2010). A propensity score matching analysis of the effects of special education services. The Journal of Special Education, 43(4), 236–254.

25.

Payne

A. A.

Welch

(2015). Restorative justice in schools: The influence of race on restorative discipline. Youth & Society, 47(4), 539–564.

26.

Quinn

M. M.

Rutherford

R. B.

Leone

P. E.

Osher

D. M.

Poirier

J. M.

(2005). Youth with disabilities in juvenile corrections: A national survey. Exceptional Children, 71, 339–345.

27.

Schifter

(2011). High school graduation of students with disabilities: How long does it take? Exceptional Children, 77(4), 409–422.

28.

Skiba

R. J.

Artiles

A. J.

Kozleski

E. B.

Losen

D. J.

Harry

E. G.

(2016). Risks and consequences of oversimplifying educational inequities: A response to Morgan et al. (2015). Educational Researcher, 45(3), 221–225.

29.

Skiba

R. J.

Poloni-Staudinger

Simmons

A. B.

Feggins-Azziz

L. R.

Chung

(2005). Unproven links: Can poverty explain ethnic disproportionality in special education? Journal of Special Education, 39, 130–144.

30.

Slade

(2003). The relationship between school characteristics and the availability of mental health and related health services in middle and high schools in the United States. The Journal of Behavioral Health Services & Research, 30(4), 382–392.

31.

Sullivan

Bal

(2013). Disproportionality in special education: Effects of individual and school variables on disability risk. Exceptional Children, 79(4), 475–494.

32.

Swanson

H. L.

Hoskyn

(1998). Experimental intervention research on students with learning disabilities: A meta-analysis of treatment outcomes. Review of Educational Research, 68(3), 277–321.

33.

U.S. Department of Education. (2016). Dear colleague letter: Preventing racial discrimination in special education.

34.

U.S. Department of Education Office for Civil Rights. (2014). Civil rights data collection: Data snapshot (School discipline).

35.

U.S. Department of Education Office of Special Education and Rehabilitation Services. (2018). The 40th annual report to congress on the implementation of the Individuals with Disabilities Education Act, 2015 (Vol. 1).

36.

U.S. Department of Justice & U.S. Department of Education. (2014). Dear colleague letter on the nondiscriminatory administration of school discipline. https://www2.ed.gov/about/offices/list/ocr/letters/colleague-201401-title-vi.html

37.

Varenne

McDermott

(1998). Successful failure. Westview.

38.

Vincent

C. G.

Swain-Bradway

Tobin

T. J.

May

. (2011). Disciplinary referrals for culturally and linguistically diverse students with and without disabilities. Exceptionality, 19(3), 175–190.

39.

Wagner

Friend

Bursuck

W. D.

Kutash

Duchnowski

A. J.

Sumi

W. C.

Epstein

M. H.

(2006). Educating students with emotional disturbances: A national perspective on school programs and services. Journal of Emotional and Behavioral Disorders, 14, 12–30.

40.

Wagner

Newman

Cameto

Levine

(2006). The academic achievement and functional performance of youth with disabilities. SRI International.

41.

Welch

Payne

A. A.

(2010). Racial threat and punitive school discipline. Social Problems, 57(1), 25–48.

42.

Wisconsin Department of Public Instruction. (2017). Historical assessment. https://dpi.wi.gov/assessment/historical

43.

Ysseldyke

J. E.

Vanderwood

M. L.

Shriner

(1997). Changes over the past decade in special education referral to placement probability: An incredibly reliable practice. Diagnostique, 23(1), 193–201.

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