IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v86y2018icp236-245.html
   My bibliography  Save this article

Predictors of school absenteeism severity at multiple levels: A classification and regression tree analysis

Author

Listed:
  • Skedgell, Kyleigh
  • Kearney, Christopher A.

Abstract

School attendance is an important foundational competency for children and adolescents, but rates of problematic school absenteeism have remained high and steady. Efforts to conceptualize problematic school absenteeism across its myriad psychiatric symptoms, risk factors, and intervention types have centered recently on multi-tiered systems of support models that arrange these variables into prevention, early intervention, and intensive intervention tiers. Unfortunately, research into absenteeism severity levels to demarcate these tiers remains sparse. The present study utilized nonparametric classification and regression tree analysis to examine multiple demographic and academic risk factors simultaneously in a very large and diverse community sample. Academic variables included grade level, letter grades, grade point average, individualized education plan eligibility, and participation in school sports. Demographic variables included youth age, gender, and ethnicity. The study aimed to identify risk categories for school absenteeism severity at the 1%+, 10%+, and 15%+ levels and across elementary, middle, and high school levels. Results indicated a more homogeneous set of risk factors at the 10%+ and 15%+ levels than the 1%+ level, in particular with respect to low GPA, age 15.5 + years, African American or American Indian ethnicity, and grades 1, 6, 7, 8, 10, 11, or 12. The results have implications for identifying highest risk youth to further improve assessment, prevention, and intervention practices for this population.

Suggested Citation

  • Skedgell, Kyleigh & Kearney, Christopher A., 2018. "Predictors of school absenteeism severity at multiple levels: A classification and regression tree analysis," Children and Youth Services Review, Elsevier, vol. 86(C), pages 236-245.
  • Handle: RePEc:eee:cysrev:v:86:y:2018:i:c:p:236-245
    DOI: 10.1016/j.childyouth.2018.01.043
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740917309611
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2018.01.043?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maynard, Brandy R. & Vaughn, Michael G. & Nelson, Erik J. & Salas-Wright, Christopher P. & Heyne, David A. & Kremer, Kristen P., 2017. "Truancy in the United States: Examining temporal trends and correlates by race, age, and gender," Children and Youth Services Review, Elsevier, vol. 81(C), pages 188-196.
    2. van der Woude, Laurine B. & van der Stouwe, Trudy & Stams, Geert Jan J.M., 2017. "Differences between risk factors for truancy and delinquency in Dutch adolescents," Children and Youth Services Review, Elsevier, vol. 73(C), pages 9-14.
    3. Sofie J. Cabus & Kristof De Witte, 2015. "Does unauthorized school absenteeism accelerates the dropout decision? - Evidence from a Bayesian duration model," Applied Economics Letters, Taylor & Francis Journals, vol. 22(4), pages 266-271, March.
    4. Paolo Radaelli, 2010. "On the Decomposition by Subgroups of the Gini Index and Zenga's Uniformity and Inequality Indexes," International Statistical Review, International Statistical Institute, vol. 78(1), pages 81-101, April.
    5. Brandy R. Maynard & Kristen E. Brendel & Jeffery J. Bulanda & David Heyne & Aaron M. Thompson & Therese D. Pigott, 2015. "Psychosocial Interventions for School Refusal with Primary and Secondary School Students: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 11(1), pages 1-76.
    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. Bianchi, Dora & Cavicchiolo, Elisa & Manganelli, Sara & Lucidi, Fabio & Chirico, Andrea & Girelli, Laura & Cozzolino, Mauro & Alivernini, Fabio, 2022. "School absenteeism and self-efficacy in very-low-income students in Italy: Cross-lagged relationships and differential effects of immigrant background," Children and Youth Services Review, Elsevier, vol. 136(C).
    2. Gottfried, Michael & Jacob Kirksey, J. & Hutt, Ethan, 2020. "Can teacher education programs help prepare new kindergarten and first grade teachers to address student absenteeism?," Children and Youth Services Review, Elsevier, vol. 119(C).
    3. Bacon, Victoria R. & Kearney, Christopher A., 2020. "School climate and student-based contextual learning factors as predictors of school absenteeism severity at multiple levels via CHAID analysis," Children and Youth Services Review, Elsevier, vol. 118(C).

    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. Sesha Kethineni & Susan Frazier‐Kouassi & Yuki Shigemoto & Wesley Jennings & Stephanie M. Cardwell & Alex R. Piquero & Kimberly Gay & Dayanand Sundaravadivelu, 2021. "PROTOCOL: Effectiveness of parent‐engagement programs to reduce truancy and juvenile delinquency: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    2. D'Errico, Marco & Macchiarelli, Corrado & Serafini, Roberta, 2015. "Differently unequal: Zooming-in on the distributional dimensions of the crisis in euro area countries," Economic Modelling, Elsevier, vol. 48(C), pages 93-115.
    3. Damien de Walque & Christine Valente, 2023. "Incentivizing School Attendance in the Presence of Parent-Child Information Frictions," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 256-285, August.
    4. Brent, Daniel A. & Ren, Yongwang & Wrenn, Douglas H., 2024. "Flood Risk and Property Market," 2024 Annual Meeting, July 28-30, New Orleans, LA 343651, Agricultural and Applied Economics Association.
    5. Francesca Greselin & Simone Pellegrino & Achille Vernizzi, 2021. "The Zenga Equality Curve: A New Approach to Measuring Tax Redistribution and Progressivity," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 950-976, December.
    6. Greselin Francesca, 2014. "More Equal and Poorer, or Richer but More Unequal?," Stochastics and Quality Control, De Gruyter, vol. 29(2), pages 99-117, December.
    7. Matti Langel & Yves Tillé, 2012. "Inference by linearization for Zenga’s new inequality index: a comparison with the Gini index," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(8), pages 1093-1110, November.
    8. Bianchi, Dora & Cavicchiolo, Elisa & Manganelli, Sara & Lucidi, Fabio & Chirico, Andrea & Girelli, Laura & Cozzolino, Mauro & Alivernini, Fabio, 2022. "School absenteeism and self-efficacy in very-low-income students in Italy: Cross-lagged relationships and differential effects of immigrant background," Children and Youth Services Review, Elsevier, vol. 136(C).
    9. Kim, Dong Ha, 2020. "Applying the social-ecological framework on the pattern of longitudinal trajectory of truancy in South Korean adolescents," Children and Youth Services Review, Elsevier, vol. 119(C).
    10. Francesca Greselin & Simone Pellegrino & Achille Vernizzi, 2020. "The Social Welfare Implications of the Zenga Index," Papers 2006.12623, arXiv.org.
    11. Escario, José-Julián & Giménez-Nadal, J. Ignacio & Wilkinson, Anna V., 2022. "Predictors of adolescent truancy: The importance of cyberbullying, peer behavior, and parenting style," Children and Youth Services Review, Elsevier, vol. 143(C).
    12. Ogwang Tomson, 2014. "A Convenient Method of Decomposing the Gini Index by Population Subgroups," Journal of Official Statistics, Sciendo, vol. 30(1), pages 91-105, March.
    13. Tassew Woldehanna & Kefyalew Endale & Joan Hamory & Sarah Baird, 2021. "Absenteeism, Dropout, and On-Time School Completion of Vulnerable Primary School Students in Ethiopia: Exploring the Role of Adolescent Decision-Making Power in the Household, Exposure to Violence, an," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(5), pages 1349-1389, October.
    14. Francesco Porro & Michele Zenga, 2020. "Decomposition by subpopulations of the Zenga-84 inequality curve and the related index $$\zeta $$ζ: an application to 2014 Bank of Italy survey," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 187-207, March.
    15. Michele Zenga, 2016. "On the decomposition by subpopulations of the point and synthetic Zenga (2007) inequality indexes," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 375-405, December.
    16. Luigi Grossi & Mauro Mussini, 2017. "Inequality in Energy Intensity in the EU-28: Evidence from a New Decomposition Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    17. Hamman, Mary K., 2021. "Disparities in COVID-19 mortality by county racial composition and the role of spring social distancing measures," Economics & Human Biology, Elsevier, vol. 41(C).
    18. Enrico Ripamonti & Stefano Barberis, 2018. "The Effect of Cultural Capital on High School Dropout: An Investigation in the Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 1257-1279, October.
    19. Elizabeth Eggins & Sharon Dawe & David B. Wilson & Ned Chandler‐Mather & Joseph Betts, 2020. "PROTOCOL: Psychosocial, pharmacological and legal interventions for improving the psychosocial outcomes of children with substance misusing parents," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(3), September.
    20. Trzcińska Kamila & Zalewska Elżbieta, 2023. "A Comparative Analysis of Household Incomes of People with Different Levels of Education in Poland and the USA," Folia Oeconomica Stetinensia, Sciendo, vol. 23(2), pages 387-401, December.

    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:eee:cysrev:v:86:y:2018:i:c:p:236-245. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    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.