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Abstract

The extent to which reading achievement is causally impacted by eligibility for special education services due to a learning disability (LD) or speech or language impairment (SLI) is currently unclear. In this registered report, we analyzed U.S. national data from the Early Childhood Longitudinal Study–Kindergarten Cohort of 2010–2011 (ECLS-K: 2011) using student-fixed effects with a lagged dependent variable estimated by maximum likelihood to assess (a) whether being assigned an Individualized Education Program (IEP) and so receiving special education services affects individually measured reading achievement for students with LD or SLI (N = 2,400) and (b) heterogeneity in the effect of having an IEP for different demographic groups. We observed small, negative effects in early grades (d = −0.09) but larger, positive effects in later grades (ds = 0.29–0.67). These more negative early effects primarily occurred among students identified with SLI, male students, and students who faced socioeconomic barriers. Effects were more positive for students who are Black, Hispanic, or who exited special education.

Keywords

reading program evaluation & testing quantitative methods research design or utilization speech/language learning disabilities identification

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References

Adlof

S. M.

(2020). Promoting reading achievement in children with developmental language disorders: What can we learn from research on specific language impairment and dyslexia? Journal of Speech, Language, and Hearing Research, 63, 3277–3292. https://doi.org/10.1159/000094499

Allison

P. D.

Williams

Moral-Benito

(2017). Maximum likelihood for cross-lagged panel models with fixed effects. Socius: Sociological Research for a Dynamic World, 3, 1–17. https://doi.org/10.1177/2378023117710578

Angrist

J.-S.

Pischke

J.-P.

(2009). Mostly harmless econometrics: An empiricist’s companion. Princeton University Press.

Archibald

L. M. D.

Oram Cardy

Joanisse

M. F.

Ansari

(2013). Language, reading, and math learning profiles in an epidemiological sample of school age children. PLOS ONE, 8(10), Article e77463. https://doi.org/10.1371/journal.pone.0077463

Artiles

A. J.

Kozleski

E. B.

Trent

S. C.

Osher

Ortiz

(2010). Justifying and explaining disproportionality, 1968-2008: A critique of underlying views of culture. Exceptional Children, 76, 279–299. https://doi.org/10.1177/001440291007600303

Berkeley

Scruggs

T. E.

Mastropieri

M. A.

(2010). Reading comprehension instruction for students with learning disabilities, 1995-2006: A meta-analysis. Remedial and Special Education, 31, 423–436. https://doi.org/10.1177/0741932509355988

Blanchett

W. J.

Mumford

Beachum

(2005). Urban school failure and disproportionality in a post-Brown era. Remedial and Special Education, 26, 70–81. https://doi.org/10.1177/07419325050260020201

Bloom

H. S.

(1995). Minimum detectable effects: A simple way to report the statistical power of experimental designs. Evaluation Review, 19, 547–556. https://doi.org/10.1177/0193841X9501900504

Bollen

K. A.

Brand

J. E.

(2010). A general panel model with random and fixed effects: A structural equations approach. Social Forces, 89, 1–34. https://doi.org/10.1353/sof.2010.0072

10.

Brigham

F. J.

Scruggs

T. E.

Mastropieri

M. A.

(2011). Science education and students with learning disabilities. Learning Disabilities Research & Practice, 26, 223–232. https://doi.org/10.1111/j.1540-5826.2011.00343.x

11.

Campbell

D. T.

Stanley

J. C.

(1963). Experimental and quasi-experimental designs for research on teaching. In Gage

N. L.

(Ed.), Handbook of research on teaching (pp. 171–246). Rand McNally.

12.

Carver-Thomas

Darling-Hammond

(2017). Teacher turnover: Why it matters and what we can do about it. Learning Policy Institute. https://doi.org/10.54300/454.278

13.

Catts

H. W.

Fey

M. E.

Tomblin

J. B.

Zhang

(2002). A longitudinal investigation of reading outcomes in children with language impairments. Journal of Speech, Language, and Hearing Research, 45, 1142–1157. https://doi.org/10.1044/1092-4388(2002/093)

14.

Daniel

S. S.

Walsh

A. K.

Goldston

D. B.

Arnold

E. M.

Reboussin

B. A.

Wood

F. B.

(2006). Suicidality, school dropout, and reading problems among adolescents. Journal of Learning Disabilities, 39, 507–514. https://doi.org/10.1177/00222194060390060301

15.

Endrew

F. v.

Douglas County School District RE–1, 580 U.S. (2017). https://supreme.justia.com/cases/federal/us/580/15-827/case.pdf

16.

Ercikan

Roth

W. M.

Simon

Sandilands

Lyons-Thomas

(2014). Inconsistencies in DIF detection for sub-groups in heterogeneous language groups. Applied Measurement in Education, 27, 273–285. https://doi.org/10.1080/08957347.2014.944306

17.

Fish

R. E.

(2019). Standing out and sorting in: Exploring the role of racial composition in racial disparities in special education. American Educational Research Journal, 56, 2573–2608. https://doi.org/10.3102/0002831219847966

18.

Gabrieli

J. D. E.

(2009). Dyslexia: A new synergy between education and cognitive neuroscience. Science, 325(5938), 280–283. https://doi.org/10.1126/science.1171999

19.

Gross

Fogg

(2004). A critical analysis of the intent-to-treat principle in prevention research. Journal of Primary Prevention, 25, 475–489. https://doi.org/10.1023/B:JOPP.0000048113.77939.44

20.

Hanushek

E. A.

Kain

J. F.

Rivkin

S. O.

(2002). Inferring program effects for special populations: Does special education raise achievement for students with disabilities? Review of Economics and Statistics, 84, 584–599. https://doi.org/10.1162/003465302760556431

21.

Hausman

J. A.

(1978). Specification tests in econometrics. Econometrica, 46, 1251–1271. https://doi.org/10.2307/1913827

22.

Heller

K. A.

(1982). Effects of special education placement on educable mentally retarded children. In Heller

K. A.

Holtzman

W. H.

Messick

(Eds.), Placing children in special education: A strategy for equity (pp. 262–299). National Academy Press.

23.

Hibel

Farkas

Morgan

P. L.

(2010). Who is placed into special education? Sociology of Education, 83, 312–332. https://doi.org/10.1177/0038040710383518

24.

Hocutt

A. M.

(1996). Effectiveness of special education: Is placement the critical factor? Kumamoto Medical Journal, 45(3), 77–102. https://doi.org/10.2307/1602495

25.

Hurwitz

Perry

Cohen

E. D.

Skiba

(2020). Special education and individualized academic growth: A longitudinal assessment of outcomes for students with disabilities. American Educational Research Journal, 57, 576–611. https://doi.org/10.3102/0002831219857054

26.

Imai

Kim

I. S.

(2019). When should we use unit fixed effects regression models for causal inference with longitudinal data? American Journal of Political Science, 63, 467–490. https://doi.org/10.1111/ajps.12417

27.

Individuals with Disabilities Education Improvement Act, 34 CFR § 300.8 (2004).

28.

Judge

Bell

S. M.

(2011). Reading achievement trajectories for students with learning disabilities during the elementary school years. Reading and Writing Quarterly, 27, 153–178. https://doi.org/10.1080/10573569.2011.532722

29.

Levin

Berg-Jacobson

Atchison

Lee

Vontsolos

(2015). Massachusetts study of teacher supply and demand: Trends and projections. American Institutes for Research. https://www.air.org/sites/default/files/2021-06/Massachusetts-Study-of-Teacher-Supply-and-Demand-December-2015_rev.pdf

30.

Marder

(2009). Facts from SEELS: Perspectives on students’ primary disability classifications. Office of Special Education Programs, U.S. Department of Education. https://seels.net/info_reports/DisabilityClassif1.9.09.pdf

31.

Mattison

R. E.

Woods

A. D.

Morgan

P. L.

Farkas

Hillemeier

M. M.

(2022). Longitudinal trajectories of reading and mathematics achievement for students with learning disabilities. Journal of Learning Disabilities. https://doi.org/10.1177/00222194221085668

32.

Morgan

P. L.

Farkas

(2009). Kindergarten predictors of recurring externalizing and internalizing psychopathology in the third and fifth grades. Journal of Emotional and Behavioral Disorders, 17(2), 67–79. https://doi.org/10.1177/1063426608324724

33.

Morgan

P. L.

Farkas

(2011). Kindergarten children’s growth trajectories in reading and mathematics: Who falls increasingly behind? Journal of Learning Disabilities, 44, 472–488. https://doi.org/10.1177/0022219411414010

34.

Morgan

P. L.

Farkas

(2012). Do poor readers feel angry, sad, and unpopular? Scientific Studies of Reading, 16, 360–381. https://doi.org/10.1080/10888438.2011.570397

35.

Morgan

P. L.

Frisco

M. L.

Farkas

Hibel

(2010). A propensity score matching analysis of the effects of special education services. Journal of Special Education, 43, 236–254. https://doi.org/10.1177/0022466916686105

36.

Morrison

F. J.

Bachman

H. J.

Connor

C. M.

(2005). Improving literacy in America: Guidelines from research. Yale University Press.

37.

National Center for Education Statistics. (2022a). Students With Disabilities. Condition of Education. U.S. Department of Education, Institute of Education Sciences. https://nces.ed.gov/programs/coe/indicator/cgg

38.

National Center for Education Statistics (2022b). Table 204.40: Children 3 to 21 years old served under Individuals with Disabilities Education Act (IDEA), Part B, by race/ethnicity and age group: 2000-01 through 2020-21. Digest of Education Statistics. https://nces.ed.gov/programs/digest/d17/tables/dt17_204.40.asp?referer=raceindicators

39.

Puranik

C. S.

Petscher

Al Otaiba

Catts

H. W.

Lonigan

C. J.

(2008). Development of oral reading fluency in children with speech or language impairments: A growth curve analysis. Journal of Learning Disabilities, 41, 545–560. https://doi.org/10.1177/0022219408317858

40.

Schudde

(2018). Heterogeneous effects in education: The promise and challenge of incorporating intersectionality into quantitative methodological approaches. Review of Research in Education, 42, 72–92. https://doi.org/10.3102/0091732X18759040

41.

Schwartz

A. E.

Hopkins

B. G.

Stiefel

(2021). The effects of special education on the academic performance of students with learning disabilities. Journal of Policy Analysis and Management, 40, 480–520. https://doi.org/10.1002/pam.22282

42.

Scruggs

T. E.

Mastropieri

M. A.

Berkeley

Graetz

J. E.

(2010). Do special education interventions improve learning of secondary content? A meta-analysis. Remedial and Special Education, 31, 437–449. https://doi.org/10.1177/0741932508327465

43.

Shifrer

Fish

R. E.

(2019). A multilevel investigation into contextual reliability in the designation of cognitive health conditions among U.S. children. Society and Mental Health, 10, 180–197. https://doi.org/10.1177/2156869319847243

44.

Snowling

M. J.

Hulme

(2020). Annual research review: Reading disorders revisited—the critical importance of oral language. Journal of Child Psychology and Psychiatry and Allied Disciplines, 62, 635–653. https://doi.org/10.1111/jcpp.13324

45.

Stanovich

K. E.

(1986). Matthew effects in reading: Some consequences of individual differences in the acquisition of literacy. Journal of Education, 189, 23–55. https://doi.org/10.1177/0022057409189001-204

46.

Sullivan

A. L.

Field

(2013). Do preschool special education services make a difference in kindergarten reading and mathematics skills? A propensity score weighting analysis. Journal of School Psychology, 51, 243–260. https://doi.org/10.1016/j.jsp.2012.12.004

47.

Sullivan

A. L.

Proctor

S. L.

(2016). The shield or the sword? Revisiting the debate on racial disproportionality in special education and implications for school psychologists. School Psychology Forum: Research in Practice, 10, 278–288.

48.

Tourangeau

Nord

Lê

Wallner-Allen

Vaden-Kiernan

Blaker

Najarian

(2019). Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011). User’s manual for the ECLS-K:2011 kindergarten–fifth grade data file and electronic codebook, public version (NCES 2019-051). National Center for Education Statistics, U.S. Department of Education.

49.

Trzesniewski

K. H.

Moffitt

T. E.

Caspi

Taylor

Maughan

(2006). Revisiting the association between reading achievement and antisocial behavior: New evidence of an environmental explanation from a twin study. Child Development, 77, 72–88. https://doi.org/10.1111/j.1467-8624.2006.00857.x

50.

U.S. Department of Education. (2021, February 25). Education department budget history table: FY 1980—FY 2021 congressional appropriations. Budget history tables. https://www2.ed.gov/about/overview/budget/budget21/justifications/i-specialed.pdf

51.

What Works Clearinghouse. (2015). Designing quasi-experiments: Meeting What Works Clearinghouse standards without random assignment. https://ies.ed.gov/ncee/wwc/Docs/multimedia/qedwebinar/wwc_webinar_qed_030315.pdf

52.

Williams

Allison

P. D.

Moral-Benito

(2018). Linear dynamic panel-data estimation using maximum likelihood and structural equation modeling. Stata Journal, 18, 293–326. https://doi.org/10.1177/1536867x1801800201

53.

Woods

A. D.

(2020). Examining longitudinal patterns of special education service receipt. Exceptional Children, 87, 5–26. https://doi.org/10.1177/0014402920960655

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Effects of Having an IEP on the Reading Achievement of Students With Learning Disabilities and Speech or Language Impairments

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