IDEAS home Printed from https://ideas.repec.org/a/wly/camsys/v18y2022i4ne1291.html
   My bibliography  Save this article

The effects of inclusion on academic achievement, socioemotional development and wellbeing of children with special educational needs

Author

Listed:
  • Nina T. Dalgaard
  • Anja Bondebjerg
  • Bjørn C. A. Viinholt
  • Trine Filges

Abstract

Background Considering the rapid global movement towards inclusion for students with special educational needs (SEN), there is a surprising lack of pedagogical or didactic theories regarding the ways in which inclusive education may affect students with SEN. Group composition within the educational setting may play a role in determining the academic achievement, socio‐emotional development, and wellbeing of students with SEN. Proponents of inclusion propose that segregated educational placement causes stigmatisation and social isolation which may have detrimental effects on the self‐concept and self‐confidence of students with SEN. On the other hand, opponents of inclusion for all special needs students suggest that placement in general education classrooms may have adverse effects especially if the time and resources allocated for individualisation are not aligned with student needs. Since the 1980s, a number of reviews on the effects of inclusion have been published. Results are inconsistent, and several reviews point to a number of methodological challenges and weaknesses of the study designs within primary studies. In sum, the impact of inclusion on students with SEN may be hypothesised to be both positive and negative, and the current knowledge base is inconsistent. Objectives The objective was first: To uncover and synthesise data from contemporary studies to assess the effects of inclusion on measures of academic achievement, socio‐emotional development, and wellbeing of children with special needs when compared to children with special needs who receive special education in a segregated setting. A secondary objective was to explore how potential moderators (gender, age, type and severity of special need, part or full time inclusive education, and co‐teaching) relate to outcomes. Search Methods Relevant studies were identified through electronic searches in Academic Search Premier (EBSCO), APA PsycINFO (EBSCO), EconLit (EBSCO), ERIC (EBSCO), International Bibliography of the Social Sciences (ProQuest), Sociological Abstracts (ProQuest), Science Citation Index Expanded (Web Of Science), Social Sciences Citation Index (Web Of Science), and SocINDEX (EBSCO). The database searches were completed on 24 April 2021 and other resources: grey literature repositories, hand search in targeted journals and Internet search engines were searched in August/September 2021. The search was limited to studies reported after 2000. Selection Criteria The review included studies of children with special needs in grades K to 12 in the OECD countries. Children with all types of verifiable SEN were eligible. Inclusion refers to an educational setting with a mixture of children with and without SEN. Segregation refers to the separate education of children with SEN. All studies that compared inclusive versus segregated educational settings for children with SEN were eligible. Qualitative studies were not included. Data Collection and Analysis The total number of potentially relevant studies constituted 20,183 hits. A total of 94 studies met the inclusion criteria, all were non‐randomised studies. The 94 studies analysed data from 19 different countries. Only 15 studies could be used in the data synthesis. Seventy‐nine studies could not be used in the data synthesis as they were judged to be of critical risk of bias and, in accordance with the protocol, were excluded from the meta‐analysis on the basis that they would be more likely to mislead than inform. The 15 studies came from nine different countries. Separate meta‐analyses were conducted on conceptually distinct outcomes. All analyses were inverse variance weighted using random effects statistical models. Sensitivity analyses were performed to evaluate the robustness of pooled effect sizes across components of risk of bias. Main Results The average baseline year of the interventions analysed in the 15 studies used for meta‐analysis was 2006, ranging from 1998 to 2012. The average number of participants analysed in the interventions was 151, ranging from 10 to 1357, and the average number of controls was 261, ranging from 5 to 2752. The studies included children with multiple types of disabilities such as learning disorders/intellectual disabilities, autism spectrum disorders, ADHD, physical handicaps, visual impairments, and Down syndrome. At most, the results from eight studies could be pooled in any of the meta‐analyses. All the meta‐analyses showed a weighted average that favoured the intervention group. None of them were statistically significant. The random effects weighted standardised mean difference was 0.20 (95% confidence interval [CI]: −0.01 to 0.42) for overall psychosocial adjustment; 0.04 (95% CI: −0.27 to 0.35) for language and literacy learning outcomes, and 0.05 (95% CI: −0.16 to 0.26) for math learning outcomes. There were no appreciable changes in the results as indicated by the sensitivity analyses. There was some inconsistency in the direction and magnitude of the effect sizes between the primary studies in all analyses and a moderate amount of heterogeneity. We attempted to investigate the heterogeneity by single factor sub‐group analyses, but results were inconclusive. Authors' Conclusions The overall methodological quality of the included studies was low, and no experimental studies in which children were randomly assigned to intervention and control conditions were found. The 15 studies, which could be used in the data synthesis, were all, except for one, judged to be in serious risk of bias. Results of the meta‐analyses do not suggest on average any sizeable positive or negative effects of inclusion on children's academic achievement as measured by language, literacy, and math outcomes or on the overall psychosocial adjustment of children. The average point estimates favoured inclusion, though small and not statistically significant, heterogeneity was present in all analyses, and there was inconsistency in direction and magnitude of the effect sizes. This finding is similar to the results of previous meta‐analyses, which include studies published before 2000, and thus although the number of studies in the current meta‐analyses is limited, it can be concluded that it is very unlikely that inclusion in general increases or decreases learning and psychosocial adjustment in children with special needs. Future research should explore the effects of different kinds of inclusive education for children with different kinds of special needs, to expand the knowledge base on what works for whom.

Suggested Citation

  • Nina T. Dalgaard & Anja Bondebjerg & Bjørn C. A. Viinholt & Trine Filges, 2022. "The effects of inclusion on academic achievement, socioemotional development and wellbeing of children with special educational needs," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(4), December.
  • Handle: RePEc:wly:camsys:v:18:y:2022:i:4:n:e1291
    DOI: 10.1002/cl2.1291
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/cl2.1291
    Download Restriction: no

    File URL: https://libkey.io/10.1002/cl2.1291?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    3. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    4. Konstantopoulos, Spyros, 2006. "Fixed and Mixed Effects Models in Meta-Analysis," IZA Discussion Papers 2198, Institute of Labor Economics (IZA).
    5. Nina T. Dalgaard & Anja Bondebjerg & Bjørn C. A. Viinholt & Trine Filges, 2021. "PROTOCOL: The effects of inclusion on academic achievement, socioemotional development and wellbeing of children with special educational needs," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    6. Maya B. Mathur & Tyler J. VanderWeele, 2020. "Sensitivity analysis for publication bias in meta‐analyses," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1091-1119, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Louise Mansfield & Norma Daykin & Neil E. O'Connell & Daniel Bailey & Louise Forde & Robyn Smith & Jake Gifford & Garcia Ashdown‐Franks, 2024. "A mixed methods systematic review on the effects of arts interventions for children and young people at‐risk of offending, or who have offended on behavioural, psychosocial, cognitive and offending ou," Campbell Systematic Reviews, John Wiley & Sons, vol. 20(1), March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Trine Filges & Geir Smedslund & Tine Eriksen & Kirsten Birkefoss, 2023. "PROTOCOL: The FRIENDS preventive programme for reducing anxiety symptoms in children and adolescents: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(4), December.
    2. Anja Bondebjerg & Nina T. Dalgaard & Trine Filges & Morten K. Thomsen & Bjørn C. A. Viinholt, 2021. "PROTOCOL: The effects of small class sizes on students’ academic achievement, socioemotional development, and well‐being in special education," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    3. Anja Bondebjerg & Nina Thorup Dalgaard & Trine Filges & Bjørn Christian Arleth Viinholt, 2023. "The effects of small class sizes on students' academic achievement, socioemotional development and well‐being in special education: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(3), September.
    4. Nina T. Dalgaard & Anja Bondebjerg & Bjørn C. A. Viinholt & Trine Filges, 2021. "PROTOCOL: The effects of inclusion on academic achievement, socioemotional development and wellbeing of children with special educational needs," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.
    5. Trine Filges & Mette Verner & Else Ladekjær & Elizabeth Bengtsen, 2023. "PROTOCOL: Participation in organised sport to improve and prevent adverse developmental trajectories of at‐risk youth: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(2), June.
    6. Trine Filges & Nina T. Dalgaard & Bjørn C. A. Viinholt, 2020. "PROTOCOL: Outreach programmes to improve life circumstances and prevent further adverse developmental trajectories of at‐risk youth in OECD countries: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(4), December.
    7. Breen, Richard & Ermisch, John, 2021. "Instrumental Variable Estimation in Demographic Studies: The LATE interpretation of the IV estimator with heterogenous effects," SocArXiv vx9m7, Center for Open Science.
    8. Patrick Kline & Christopher R. Walters, 2019. "On Heckits, LATE, and Numerical Equivalence," Econometrica, Econometric Society, vol. 87(2), pages 677-696, March.
    9. Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
    10. Trine Filges & Mette Verner & Else Ladekjær & Elizabeth Bengtsen, 2024. "Participation in organised sport to improve and prevent adverse developmental trajectories of at‐risk youth: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 20(1), March.
    11. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    12. Anja Bondebjerg & Trine Filges & Jan Hyld Pejtersen & Malene Wallach Kildemoes & Hermann Burr & Peter Hasle & Emile Tompa & Elizabeth Bengtsen, 2023. "Occupational health and safety regulatory interventions to improve the work environment: An evidence and gap map of effectiveness studies," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(4), December.
    13. Trine Filges & Nina T. Dalgaard & Bjørn C. A. Viinholt, 2022. "Outreach programs to improve life circumstances and prevent further adverse developmental trajectories of at‐risk youth in OECD countries: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(4), December.
    14. Nina T. Dalgaard & Anja Bondebjerg & Rasmus Klokker & Bjørn C. A. Viinholt & Jens Dietrichson, 2022. "Adult/child ratio and group size in early childhood education or care to promote the development of children aged 0–5 years: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(2), June.
    15. Anja Bondebjerg & Trine Filges & Jan H. Pejtersen & Bjørn C. A. Viinholt & Hermann Burr & Peter Hasle & Emile Tompa & Kirsten Birkefoss & Elizabeth Bengtsen, 2022. "PROTOCOL: Occupational health and safety regulatory interventions to improve the work environment: An evidence and gap map of effectiveness studies," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(2), June.
    16. Bakx, Pieter & Wouterse, Bram & van Doorslaer, Eddy & Wong, Albert, 2020. "Better off at home? Effects of nursing home eligibility on costs, hospitalizations and survival," Journal of Health Economics, Elsevier, vol. 73(C).
    17. Sophie van Huellen & Duo Qin, 2019. "Compulsory Schooling and Returns to Education: A Re-Examination," Econometrics, MDPI, vol. 7(3), pages 1-20, September.
    18. Kyui, Natalia, 2016. "Expansion of higher education, employment and wages: Evidence from the Russian Transition," Labour Economics, Elsevier, vol. 39(C), pages 68-87.
    19. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    20. Lars Kirkebøen & Edwin Leuven & Magne Mogstad, 2014. "Field of Study, Earnings, and Self-Selection," NBER Working Papers 20816, National Bureau of Economic Research, Inc.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:camsys:v:18:y:2022:i:4:n:e1291. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1891-1803 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.