Many autistic youth experience poor educational outcomes after high school, especially those living in low socioeconomic households. However, while current literature has thoroughly documented predictors of successful transition for youth with disabilities, there is limited evidence shedding light on predictors of attending postsecondary education (PSE) for autistic youth. Using data from a model demonstration project funded by the U.S. Department of Education, our research empirically tested 19 of the known 23 predictors on a large sample of autistic youth to determine their likelihood of successfully graduating from high school (a precursor of PSE) and of attending PSE. Our findings revealed multiple significant predictors of successful high school exit and PSE participation for autistic youth. Implications for research and practice are discussed.
American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (5th ed., text rev.).
2.
AndersonK. A.RouxA. M.SteinbergH.GarfieldT.RastJ. E.ShattuckP. T.SheaL. L. (2022, April). National autism indicators report: The intersection of autism, health, poverty and racial inequity. Policy and Analytics Center and Life Course Outcomes Research Program, A.J. Drexel Autism Institute, Drexel University.
3.
BaerR. M.FlexerR. W.BeckS.AmstutzN.HoffmanL.BrothersJ.StelzerD.ZechmanC. (2003). A collaborative follow-up study on transition service utilization and post-school outcomes. Career Development for Exceptional Individuals, 26, 7–25. https://doi.org/10.1177/088572880302600102
4.
BenzM. R.YovanoffP.DorenB. (1997). School-to-work that predict postschool success for students with and without disabilities. Exceptional Children, 63, 151–165. https://doi.org/10.1177/001440299706300201
5.
BerryH. G.WardM.CaplanL. (2012). Self-determination and access to postsecondary education in transitioning youths receiving supplemental security income benefits. Career Development and Transition for Exceptional Individuals, 35, 68–75. https://doi.org/10.1007/s10803-011-1297-7
6.
CarterE. W.AustinD.TrainorA. A. (2012). Predictors of postschool employment outcomes for young adults with severe disabilities. Journal of Disability Policy Studies, 23(1), 50–63. https://10.1177/1044207311414680
7.
Centers for Disease Control and Prevention. (2022, March2). Data & statistics on autism spectrum disorder: Prevalence. (Table. Identified prevalence of autism spectrum disorder: ADDM [Autism and Developmental Disabilities Monitoring] Network (2000-2018 combining data from all sites). National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention. https://www.cdc.gov/autism/data-research/index.html
8.
ChiangH.CheungY.HicksonL.XiangR.TsaiL. Y. (2012). Predictive factors of participation in postsecondary education for high school leavers with autism. Journal of Autism and Developmental Disorders, 42, 685–696. https://doi.org/10.1007/s10803-011-1297-7
9.
ChiangH. M.CheungY. K.LiH.TsaiL. Y. (2013). Factors associated with participation in employment for high school leavers with autism. Journal of Autism and Developmental Disorders, 43(8), 1832–1842. https://doi.org/10.1007/s10803-012-1734-2
10.
DorenB.GauJ. M.LindstromL. E. (2012). The relationship between parent expectations and postschool outcomes of adolescents with disabilities. Exceptional Children, 79, 7–23. https://doi.org/10.1177/001440291207900101
11.
FardigD. B.AlgozzineR. F.SchwartzS. E.HenselJ. W.WestlingD. L. (1985). Postsecondary vocational adjustment of rural, mildly handicapped students. Exceptional Children, 52, 115–121. https://doi.org/10.1177/001440298505200203
FrakerT.CarterE.HoneycuttT.KauffJ.LivermoreG.MamunA. (2014). Promoting readiness of minors in SSI (PROMISE) evaluation design report. Mathematica Policy Research.
14.
FrederickssonA.OliveiraG. M. (2019). Impact evaluation using difference-in-differences. RAUSP Management Journal, 54(4), 519–532. https://doi.org/10.1108/RAUSP-05-2019-0112
15.
HaberM. G.MazzottiV. L.MustianA. L.RoweD. A.BartholomewA. L.TestD. W.FowlerC. H. (2016). What works, when, for whom, & with whom: A meta-analytic review of predictors of postsecondary success for students with disabilities. Review of Educational Research, 86, 123–162. https://doi.org/10.3102/0034654315583135
16.
HealL.RubinS.RuschF. (1998). Residential independence of former special education high school students: A second look. Research in Developmental Disabilities, 19, 1–26. https://doi.org/10.1016/S0891-4222(97)00026-7
17.
Individuals With Disabilities Education Improvement Act of 2004, 20 U.S.C. § 1400 et seq.
18.
LipscombS.HaimsonJ.LiuA. Y.BurghardtJ.JohnsonD. R.ThurlowM. L. (2017). Preparing for life after high school: The characteristics and experiences of youth in special education. Findings from the National Longitudinal Transition Study 2012. Volume 2: Comparisons across disability groups: Full report (NCEE 2017-4018). U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. https://files.eric.ed.gov/fulltext/ED573334.pdf
19.
LombardiA. R.GauJ.DorenB.LindstromL. (2013). The influence of instructional setting of common core subjects on postsecondary participation. Journal of Disability Policy Studies, 24, 170–180. https://doi.org/10.1177/1044207312468766
20.
LombardiA. R.RifenbarkG. G.TaconetA. (2023). Quality indicators of secondary data analyses in special education research: A preregistration guide. Exceptional Children, 89(4), 397–411. https://doi.org/10.1177/00144029221141029
21.
MazzottiV. L.RoweD. A.KwiatekS.VoggtA.ChangW.-H.FowlerC. H.PoppenM.SinclairJ.TestD. W. (2021). Secondary transition predictors of postschool success: An update to the research base. Career Development and Transition for Exceptional Individuals, 44(1), 47–64. https://doi.org/10.1177/2165143420959793
22.
MazzottiV. L.RoweD. A.SinclairJ.PoppenM.WoodsW. E.ShearerM. L. (2016). Predictors of post-school success: A systematic review of NLTS-2 secondary analyses. Career Development and Transition for Exceptional Individuals, 39(4), 196–215. https://doi.org/10.1177/2165143415588047
23.
McAfeeJ.McNaughtonD. (1997). Transitional outcomes—Job satisfaction of workers with disabilities: Part one: General job satisfaction. Journal of Vocational Rehabilitation, 8, 135–142. https://doi.org/10.3233/JVR-1997-8204
24.
MyersE.DavisB. E.StobbeG. (2015). Community and social participation among individuals with autism spectrum disorder transitioning to adulthood. Journal of Autism and Developmental Disorders, 45, 2373–2381. https://10.1007/s10803-015-2403-z
25.
National Center for Education Statistics. (2023a). Public high school graduation rates. Condition of education. U.S. Department of Education, Institute of Education Sciences. https://nces.ed.gov/programs/coe/indicator/lba
26.
National Center for Education Statistics. (2023b). Status dropout rates. Condition of Education. U.S. Department of Education, Institute of Education Sciences. https://nces.ed.gov/programs/coe/indicator/coj
27.
National Technical Assistance Center on Transition: The Collaborative. (2021, August). Predictor implementation school/district self-assessment. https://transitionta.org/pisa-self-assessment/
28.
NewmanL. A.MadausJ. W. (2015). Analysis of factors related to receipt of accommodations and services by postsecondary students with disabilities. Remedial and Special Education, 36(4), 208–219. https://doi.org/10.1177/0741932515572912
29.
NewmanL. A.MadausJ. W.JavitzH. (2016). Effect of transition planning activities on postsecondary support receipt by students with disabilities. Exceptional Children, 82(4), 497–514. https://doi.org/10.1177/0014402915615884
30.
No Child Left Behind Act of 2001, Pub. L. No. 107-110, § 115, Stat. 1425 (2002)
31.
PatnaikA.HemeterJ.MamunA. (2021, May). Initial experiences of youth with autism spectrum disorder participating in the PROMISE initiative. Center for Studying Disability Research: Issue Brief. Mathematica.
32.
PetcuS. D.Van HornM. L.ShogrenK. A. (2017). Self determination and the enrollment in and completion of postsecondary education for students with disabilities. Career Development and Transition for Exceptional Individuals, 40(4), 225–234. https://doi.org/10.1177/2165143416670135
33.
QianX.LeeS.JohnsonD. R.WuY. C. (2024). Expectations of transition-age students with autism spectrum disorder toward postsecondary education. Focus on Autism and Other Developmental Disabilities, 39(1), 35–44. https://doi.org/10.1177/10883576231188331
34.
RoweD. A.AlversonC. Y.UnruhD. K.FowlerC. H.KellemsR.TestD. W. (2015). A Delphi study to operationalize evidence-based predictors in secondary transition. Career Development and Transition for Exceptional Individuals, 38(2), 113–126. https://doi.org/10.1177/2165143414526429
35.
ShattuckP. T.Carter NarendoftS.CooperB.SterzingP. R.WagnerM.Lounds TaylorJ. (2012). Postsecondary education and employment among youth with autism spectrum disorder. Pediatrics, 129(6), 1042–1049. https://doi.org/10.1542/peds.2011-2864
ShogrenK. A.LeeJ.PankoP. (2017). An examination of the relationship between postschool outcomes and autonomy, psychological empowerment, and self-realization. The Journal of Special Education, 51(2), 115–124. https://doi.org/10.1177/0022466916683171
38.
StataCorp. (2019). Stata statistical software: Release 16.
39.
TestD. W.MazzottiV. L.MustianA. L.FowlerC. H.KorteringL. J.KohlerP. H. (2009). Evidence-based secondary transition predictors for improving postschool outcomes for students with disabilities. Career Development for Exceptional Individuals, 32, 160–181. https://doi.org/10.1177/0885728809346960
40.
TorpeyE.WatsonA. (2014). Education level and jobs: Opportunities by state. Career Outlook, U.S. Bureau of Labor Statistics. https://bit.ly/3EHYFJi
41.
TrainorA. A.CarterE. W.KarpurA.MartinJ. E.MazzottiV. L.MorningstarM. E.NewmanL.RojewskiJ. W. (2020). A framework for research in transition: Identifying important areas and intersections for future study. Career Development and Transition for Exceptional Individuals, 43(1), 5–17. https://doi.org/10.1177/2165143419864551
WagnerM.BlackorbyJ.CametoR.NewmanL. (1993). What makes a difference? Influences on postschool outcomes of youth with disabilities [The third comprehensive report from the national longitudinal transition study of special education students]. SRI International. https://eric.ed.gov/?id=ED365085
44.
WagnerM.NewmanL.CametoR.GarzaN.LevineP. (2005). After high school: A first look at the postschool experiences of youth with disabilities: A report from the National Longitudinal Transition Study-2 (NLTS2). SRI International. https://eric.ed.gov/?id=ED494935
45.
WeiX.WagnerM.HudsonL.YuJ. W.JavitzH. (2016). The effect of transition planning participation and goal-setting on college enrollment among youth with autism spectrum disorders. Remedial and Special Education, 37(1), 3–14. https://doi.org/10.1177/0741932515581495
46.
WeiX.WagnerM.HudsonL.YuJ. W.ShattuckP. (2015). Transition to adulthood: Employment, education, and disengagement in individuals with autism spectrum disorders. Emerging Adulthood, 3(1), 37–45. https://doi.org/10.1177/2167696814534417
47.
WeiX.YuJ. W.ShattuckP.BlackorbyJ. (2017). High school math and science preparation and postsecondary STEM participation for students with an autism spectrum disorder. Focus on Autism and Developmental Disabilities, 32(2), 83–92. https://doi.org/10.1177/1088357615588489
