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Examining the Multiple Trajectories Associated with Dropping Out of High School: A Growth Mixture Model Analysis

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  • Alex J. Bowers
  • Ryan Sprott

Abstract

Historically, students who fail to graduate from secondary school are considered as a single category of school dropouts. However, emerging literature indicates that there may be multiple subgroups of high school dropouts, termed a dropout typology . The authors' purpose was to assess the extent to which a typology of dropouts was present in a large national dataset and to estimate the influence of the known covariates of dropping out on each of the subgroups. A growth mixture model was estimated using the Education Longitudinal Study 2002 (National Center for Education Statistics, n.d.) dataset and noncumulative grade point average during the first 3 semesters of high school. The model identified 2 main subgroups associated with dropping out, which accounted for 24.6% of the sample but contained 91.8% of the dropouts.

Suggested Citation

  • Alex J. Bowers & Ryan Sprott, 2012. "Examining the Multiple Trajectories Associated with Dropping Out of High School: A Growth Mixture Model Analysis," The Journal of Educational Research, Taylor & Francis Journals, vol. 105(3), pages 176-195, April.
    • Handle: RePEc:taf:vjerxx:v:105:y:2012:i:3:p:176-195
    DOI: 10.1080/00220671.2011.552075
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    Cited by:

    1. Tommaso Agasisti & Francesca Ieva & Anna Maria Paganoni, 2017. "Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(1), pages 157-180, March.
    2. Ferreira Sequeda, Maria, 2020. "The effect of grade retention on secondary school dropout: Evidence from a natural experiment," ROA Research Memorandum 014, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    3. Ferreira Sequeda, Maria, 2020. "The effect of grade retention on secondary school dropout:," Research Memorandum 037, Maastricht University, Graduate School of Business and Economics (GSBE).
    4. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    5. Elizabeth Glennie & Fatih Unlu & Julie Edmunds & Douglas Lauen, 2022. "Missing Academic Targets in Ninth Grade: Do Early College High Schools Give Students Second Chances for College?," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(7), pages 1095-1119, November.

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