IDEAS home Printed from https://ideas.repec.org/a/wly/camsys/v18y2022i1ne1223.html
   My bibliography  Save this article

Self‐management interventions for reducing challenging behaviors among school‐age students: A systematic review

Author

Listed:
  • Tyler E. Smith
  • Aaron M. Thompson
  • Brandy R. Maynard

Abstract

Background Challenging classroom behaviors can interfere with student social and academic functioning and may be harmful to everyone in schools. Self‐management interventions within schools can address these concerns by helping students develop necessary social, emotional, and behavioral skills. Thus, the current systematic review synthesized and analyzed school‐based self‐management interventions used to address challenging classroom behaviors. Objectives The current study aimed to inform practice and policy by (a) evaluating the effectiveness of self‐management interventions at improving classroom behaviors and academic outcomes and (b) examining the state of research for self‐management interventions based on existing literature. Search Methods Comprehensive search procedures included electronically searching online databases (e.g., EBSCO Academic Search Premier, MEDLINE, ERIC, PsycINFO), hand‐searching 19 relevant journals (e.g., School Mental Health, Journal of School Psychology), reference‐list searching 21 relevant reviews, and searching gray literature (e.g., contacting authors, searching online dissertation/theses databases and national government clearinghouses/websites). Searches were completed through December of 2020. Selection Criteria Included studies employed either a multiple group‐design (i.e., experimental or quasi‐experimental) or single‐case experimental research design and met the following criteria: (a) utilized a self‐management intervention, (b) conducted in a school setting, (c) included school‐aged students, and (d) assessed classroom behaviors. Data Collection and Analysis Standard data collection procedures expected by the Campbell Collaboration were used in the current study. Analyses for single‐case design studies incorporated three‐level hierarchical models to synthesize main effects, and meta‐regression for moderation. Further, robust variance estimation was applied to both single‐case design and group‐design studies to account for dependency issues. Main Results Our final single‐case design sample included 75 studies, 236 participants, and 456 effects (i.e., 351 behavioral outcomes and 105 academic outcomes). Our final group‐design sample included 4 studies, 422 participants, and 11 total behavioral effects. Most studies occurred in the United States, in urban communities, in public schools, and in elementary settings. Single‐case design results indicated that self‐management interventions significantly and positively impacted both student classroom behaviors (LRRi = 0.69, 95% confidence interval [CI] [0.59, 0.78]) and academic outcomes (LRRi = 0.58, 95% CI [0.41, 0.76]). Single‐case results were found to be moderated by student race and special education status, whereas intervention effects were more pronounced for African American students (F = 5.56, p = 0.02) and students receiving special education services (F = 6.87, p = 0.01). Single‐case results were not found to be moderated by intervention characteristics (i.e., intervention duration, fidelity assessment, fidelity method, or training). Despite positive findings for single‐case design studies, risk of bias assessment indicated methodological shortcomings that should be considered when interpreting findings. A significant main effect of self‐management interventions for improving classroom behaviors was also revealed for group‐design studies (g = 0.63, 95% CI [0.08, 1.17]). However, these results should be interpreted with caution given the small number of included group‐design studies. Implications for Policy, Practice, and Research The current study, conducted using comprehensive search/screening procedures and advanced meta‐analytic techniques, adds to the large amount of evidence indicating that self‐management interventions can be successfully used to address student behaviors and academic outcomes. In particular, the use specific self‐management elements (i.e., self‐determining a performance goal, self‐observing and recording progress, reflecting on a target behavior, and administering primary reinforcers) should be considered within current interventions as well as in the development of future interventions. Future research should aim to assess the implementation and effects of self‐management at the group or classroom‐level within randomized controlled trials.

Suggested Citation

  • Tyler E. Smith & Aaron M. Thompson & Brandy R. Maynard, 2022. "Self‐management interventions for reducing challenging behaviors among school‐age students: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(1), March.
  • Handle: RePEc:wly:camsys:v:18:y:2022:i:1:n:e1223
    DOI: 10.1002/cl2.1223
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/cl2.1223
    Download Restriction: no

    File URL: https://libkey.io/10.1002/cl2.1223?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. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    2. Elizabeth Tipton & James E. Pustejovsky, 2015. "Small-Sample Adjustments for Tests of Moderators and Model Fit Using Robust Variance Estimation in Meta-Regression," Journal of Educational and Behavioral Statistics, , vol. 40(6), pages 604-634, December.
    3. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    4. James E. Pustejovsky & Elizabeth Tipton, 2018. "Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 672-683, October.
    5. Yuan-Hsuan Lee & Chao-Yang Cheng & Sunny Lin, 2014. "A Latent Profile Analysis of Self-Control and Self-Esteem and the Grouping Effect on Adolescent Quality of Life Across Two Consecutive Years," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(2), pages 523-539, June.
    Full references (including those not matched with items on IDEAS)

    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. Aaron M. Thompson & Lindsay R. Ruhr & Brandy R. Maynard & Michael D. Pelts & Natasha K. Bowen, 2013. "Protocol for a Systematic Review: Self‐Management Interventions for Reducing Challenging Behaviors among School‐age Students: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 9(1), pages 1-50.
    2. Jeffrey D. Michler & Anna Josephson, 2022. "Recent developments in inference: practicalities for applied economics," Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268, Edward Elgar Publishing.
    3. Welz, Thilo & Viechtbauer, Wolfgang & Pauly, Markus, 2023. "Cluster-robust estimators for multivariate mixed-effects meta-regression," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    4. Latha Velayudhan & Katie McGoohan & Sagnik Bhattacharyya, 2021. "Safety and tolerability of natural and synthetic cannabinoids in adults aged over 50 years: A systematic review and meta-analysis," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-42, March.
    5. Lea Cassar & Mira Fischer & Vanessa Valero, 2022. "Keep Calm and Carry On: Immediate-vs. Six-Month Effects of Mindfulness Training on Academic Performance," CESifo Working Paper Series 10099, CESifo.
    6. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    7. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    8. Damiano Pizzol & Mike Trott & Igor Grabovac & Mario Antunes & Anna Claudia Colangelo & Simona Ippoliti & Cristian Petre Ilie & Anne Carrie & Nicola Veronese & Lee Smith, 2021. "Laparoscopy in Low-Income Countries: 10-Year Experience and Systematic Literature Review," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    9. Hendrik Jürges & Luca Stella & Sameh Hallaq & Alexandra Schwarz, 2022. "Cohort at risk: long-term consequences of conflict for child school achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(1), pages 1-43, January.
    10. Lechner, Michael & Sari, Nazmi, 2015. "Labor market effects of sports and exercise: Evidence from Canadian panel data," Labour Economics, Elsevier, vol. 35(C), pages 1-15.
    11. Ünal, Zehra E. & Kartal, Gamze & Ulusoy, Serra & Ala, Aslı M. & Yilmaz, Munube & Geary, David C., 2023. "Relative contributions of g and basic domain-specific mathematics skills to complex mathematics competencies," Intelligence, Elsevier, vol. 101(C).
    12. Thomas S. Dee & Emily K. Penner, 2021. "My Brother's Keeper? The Impact of Targeted Educational Supports," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1171-1196, September.
    13. Estrellado, Emmanuel & Charoensilp, Pimmada & Yamada, Shoko, 2023. "The effects of game-based soft skills training: A quasi-experiment with Ethiopian garment workers," International Journal of Educational Development, Elsevier, vol. 101(C).
    14. Nataliya Kusa, 2018. "Should intra-familial time transfers be compensated financially?," MAGKS Papers on Economics 201802, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. Viktoria Maria Baumeister & Leonie Petra Kuen & Maike Bruckes & Gerhard Schewe, 2021. "The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    16. LaFave, Daniel & Thomas, Duncan, 2017. "Extended families and child well-being," Journal of Development Economics, Elsevier, vol. 126(C), pages 52-65.
    17. Fulvia Pennoni & Beata Bal-Domańska, 2022. "NEETs and Youth Unemployment: A Longitudinal Comparison Across European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 739-761, July.
    18. Gundula Krack, 2019. "How to make value-based health insurance designs more effective? A systematic review and meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 841-856, August.
    19. Stephen Yeaple & Chong Xiang, 2017. "Educational Quality along Multiple Dimensions: A Cross-Country Analysis," 2017 Meeting Papers 510, Society for Economic Dynamics.
    20. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.

    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:1:n:e1223. 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.