Skip to main content

Advertisement

Log in

The Heterogeneity of Truancy among Urban Middle School Students: A Latent Class Growth Analysis

  • Original Paper
  • Published:
Journal of Child and Family Studies Aims and scope Submit manuscript

Abstract

This longitudinal study explores heterogeneity of middle school students by identifying subgroups of youth characterized by distinct truancy trajectories and by determining disability profiles that distinguish these subgroups. Participants comprised an entire 7th through 9th grade student population, with approximately 58,000 students, in a large urban school district. Latent class growth analysis was used to identify subgroups of truant youth. This analysis yielded five distinct truant subgroups: Very-Low (37 %), Low (43.4 %), Declining (3.3 %), Rising (12.8 %), and Chronic (3.6 %). Further, differential disability profiles were found in each subgroup with the control of demographic characteristics (i.e., gender, race/ethnicity, free/reduced lunch, Limited English Proficiency, grade, and prior school absences), students with serious emotional disturbance and learning disabilities demonstrated amplified risks of being classified in the Chronic or Rising subgroups, which show chronic or incremental upward truant trajectories over time. These findings are discussed in terms of their implications for future research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Aud, S., Hussar, W., Johnson, F., Kena, G., Roth, E., Manning, E., Wang, X., and Zhang, J. (2012). The condition of education 2012 (NCES 2012-045). Washington, DC: US Department of Education, National Center for Education Statistics. Retrieved June 6, 2013, from http://nces.ed.gov/pubsearch.

  • Baker, M. L., Sigmon, J. N., & Nugent, M. E. (2001). Truancy reduction: Keeping students in school. Bulletin of the Office of Juvenile Justice and Delinquency Prevention, September 1–15.

  • Balfanz, R., & Byrnes, V. (2012). Chronic absenteeism: Summarizing what we know from nationally available data. Baltimore: Johns Hopkins University Center for Social Organization of Schools.

    Google Scholar 

  • Balfanz, R., Herzog, L., & MacIver, D. (2007). Preventing student disengagement and keeping students on the graduation path in urban middle grade schools: Early identification and effective interventions. Educational Psychologist, 42(4), 223–235.

    Article  Google Scholar 

  • Bergman, L. R., & Magnusson, D. (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology, 9, 291–319.

    Article  PubMed  Google Scholar 

  • Bergman, L. R., & Trost, K. (2006). The person-oriented versus the variable-oriented approach: Are they complementary, opposites, or exploring different worlds? Merrill-Palmer Quarterly, 52, 601–632.

    Article  Google Scholar 

  • Cadwallader, T., Farmer, T. W., & Cairns, B. D. (2003). The transition to high school: A prodigal analysis of developmental pathways. New Directions in Child and Adolescent Development, 101, 63–74.

    Article  Google Scholar 

  • Cairns, R. B., & Cairns, B. D. (1994). Lifelines and risks: Pathways of youth in our time. New York, NY: Harvester Wheatsheaf.

    Google Scholar 

  • Cairns, R. B., & Rodkin, P. C. (1998). Phenomena regained: From configurations to pathways. In R. B. Cairns & L. R. Bergman (Eds.), Methods and models for studying the individual (pp. 245–265). Thousand Oaks, CA: Sage Publications Inc.

    Google Scholar 

  • Chang, H. N., & Romero, M. (2008). Present, engaged, and accounted for: The critical importance of addressing chronic absence in the early grades. Report. New York, NY: National Center for Children in Poverty.

  • Culhane, D. P., Fantuzzo, J., Rouse, H. L., Tam, V., & Lukens, J. (2010). Connecting the dots: The promise of integrated data systems for policy analysis and systems reform. Intelligence for Social Policy: University of Pennsylvania.

    Google Scholar 

  • Eaton, D. K., Brener, N., & Kann, L. K. (2008). Associations of health risk behaviors with school absenteeism. Does having permission for the absence make a difference? Journal of School Health, 78, 223–229.

    Article  PubMed  Google Scholar 

  • Epstein, J. L., & Sheldon, S. B. (2002). Present and accounted for: Improving student attendance through family and community involvement. Journal of Educational Research, 95, 308–318.

    Article  Google Scholar 

  • Estell, D. B., Farmer, T. W., Cairns, R. B., & Cairns, B. D. (2002). Social relations and academic achievement in inner-city early elementary classrooms. International Journal of Behavioral Development, 26(6), 518–528.

    Article  Google Scholar 

  • Estell, D. B., Farmer, T. W., Irvin, M. J., Thompson, J. H., Hutchins, B. C., & McDonough, E. M. (2007). Trajectories and transitions: Pathways across middle school and ninth grade achievement and substance use. Journal of Youth and Adolescence, 36, 477–487.

    Article  Google Scholar 

  • Estell, D. B., Farmer, T. W., Pearl, R., Van Acker, R., & Rodkin, P. C. (2003). Heterogeneity in the relationship between popularity and aggression: Individual, group, and classroom influences. New Directions for Child and Adolescent Development, 101, 75–85.

    Article  PubMed  Google Scholar 

  • Finlay, K. A. (2006). Reengaging youth in school: Evaluation of the truancy reduction demonstration project. Denver, CO: Colorado Foundation for Families and Children.

    Google Scholar 

  • Fuchs, D., Fuchs, L. S., & Compton, D. L. (2012). Smart RTI: A next-generation approach to multilevel prevention. Exceptional Children, 78(3), 263–279.

    Article  PubMed  PubMed Central  Google Scholar 

  • Goldstein, J. S., Little, S. G., & Akin-Little, K. A. (2003). Absenteeism: A review of the literature and school psychology’s role. The California School Psychologist, 8, 127–139.

    Article  Google Scholar 

  • Gottfried, M. A. (2009). Excused versus unexcused: How student absences in elementary school affect academic achievement. Educational Evaluation and Policy Analysis, 31(4), 392–415.

    Google Scholar 

  • Gottfried, M. A. (2011). Absent peers in elementary years: The negative classroom effects of unexcused absences on standardized testing outcomes. Teachers College Record, 113(8), 1597–1632.

    Google Scholar 

  • Hallfors, D., Vevea, J. L., Iritani, B., Cho, H., Khatapoush, S., & Saxe, L. (2002). Truancy, grade point average, and sexual activity: A meta-analysis of risk indicators for youth substance use. Journal of School Health, 72(5), 205–211.

    Article  PubMed  Google Scholar 

  • Henry, K. L. (2007). Who’s skipping school: Charactefristics of truants in 8th and 10th grade. Journal of School Health, 77(1), 29–35.

    Article  PubMed  Google Scholar 

  • Henry, K. L. (2010). Skipping school and using drugs: A brief report. Drugs: Education, Prevention and Policy, 17(5), 650–657.

    Google Scholar 

  • Jones, B. L., & Nagin, D. S. (2007). Advances in group-based trajectory modeling and an SAS procedure for estimating them. Sociological Methods and Research, 35, 542–571.

    Article  Google Scholar 

  • Kearney, C. A. (2008a). An interdisciplinary model of school absenteeism in youth to inform professional practice and public policy. Educational Psychology Review, 20(3), 257–282.

    Article  Google Scholar 

  • Kearney, C. A. (2008b). School absenteeism and school refusal behavior in youth: A contemporary review. Clinical Psychology Review, 28(3), 451–471.

    Article  PubMed  Google Scholar 

  • Kern, L., & Wehby, J. H. (2014). Using data to intensify behavioral interventions for individual students. Teaching Exceptional Children, 46(4), 45–53.

    Article  Google Scholar 

  • Lan, W., & Lanthier, R. (2003). Changes in students’ academic performance and perceptions of school and self before dropping out of schools. Journal of Education for Students Placed at Risk, 8(3), 309–332.

    Article  Google Scholar 

  • Maynard, B. R., Salas-Wright, C. P., Vaughn, M. G., & Peters, K. E. (2012). Who are truant youth? Examining distinctive profiles of truant youth using latent profile analysis. Journal of Youth and Adolescence, 41(12), 1671–1684.

    Article  PubMed  PubMed Central  Google Scholar 

  • Metraux, S., Garcia, A., Chen, C., Park, Y.-M., & Culhane, D. (2013). Understanding multi-system youth and their patterns of service use. Philadelphia, PA: Stoneleigh Foundation.

    Google Scholar 

  • Mueller, D., Giacomazzi, A., & Stoddard, C. (2006). Dealing with chronic absenteeism and its related consequences: The process and short term effects of a diversionary juvenile court intervention. Journal of Education for Students Placed at Risk., 11, 199–219.

    Article  Google Scholar 

  • Nagin, D. S. (2005). Group-based modeling of development. Cambridge, MA: Harvard University Press.

    Book  Google Scholar 

  • Nagin, D. S., & Odgers, C. L. (2010). Group-based trajectory modeling in clinical research. Annual Review Clinical Psychology, 6, 109–138.

    Article  Google Scholar 

  • National Center for Education Statistics. (2012). Indicator 28: Student absenteeism. In The condition of education, 2012 (pp. 72–73, 222–223). (NCES 2012-045). Washington DC: US Department of Education. Retrieved January 31, 2013, from http://nces.ed.gov/pubsearch.

  • Newman, L., Davies, E., & Marder, C. (2003). School engagement of youth with disabilities. In National Center for Special Education Research, National Longitudinal Transition Study 2: Achievements of youth with disabilities in secondary school (pp. 3.1–3.14). Retrieved March 25, 2015, from http://www.nlts2.org/reports/2003_11/nlts2_report_2003_11_complete.pdf.

  • Pellegrini, D. W. (2007). School non-attendance: Definitions, meanings, responses, interventions. Educational Psychology in Practice, 23(1), 63–77.

    Article  Google Scholar 

  • Reid, K. (2005). The causes, views and traits of school absenteeism and truancy: An analytical review. Research in Education, 74, 59–82.

    Article  Google Scholar 

  • Rodríguez, L. F., & Conchas, G. Q. (2009). Preventing truancy and dropout among urban middle school youth understanding community-based action from the student’s perspective. Education and Urban Society, 41(2), 216–247.

    Article  Google Scholar 

  • Roeser, R. W., & Peck, S. C. (2003). Patterns and pathways of educational achievement across adolescence: A holistic-developmental perspective. New Directions for Child and Adolescent Development, 103, 39–62.

    Article  Google Scholar 

  • Scanlon, D., & Mellard, D. (2002). Academic and participation profiles of school-age dropouts with and without disabilities. Exceptional Children, 68(2), 239–258.

    Google Scholar 

  • Schoeneberger, J. A. (2012). Longitudinal attendance patterns: developing high school dropouts. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 85(1), 7–14.

    Article  Google Scholar 

  • Sheldon, S. B., & Epstein, J. L. (2004). Getting students to school: Using family and community involvement to reduce chronic absenteeism. School Community Journal, 14, 39–56.

    Google Scholar 

  • Sinclair, M. F., Christenson, S. L., Evelo, D. L., & Hurley, C. M. (1998). Dropout prevention for youth with disabilities: Efficacy of a sustained school engagement procedure. Exceptional Children, 65, 7–21.

    Google Scholar 

  • Sinclair, M. F., Christenson, S. L., & Thurlow, M. L. (2005). Promoting school completion of urban secondary youth with emotional or behavioral disabilities. Exceptional Children, 71(4), 465–482.

    Google Scholar 

  • Spencer, A. M. (2009). School attendance patterns, unmet educational needs, and truancy: A chronological perspective. Remedial and Special Education, 30, 309–319.

    Article  Google Scholar 

  • Sutphen, R. D., Ford, J. P., & Flaherty, C. (2010). Truancy interventions: A review of the research literature. Research on Social Work Practice, 20(2), 161–171.

    Article  Google Scholar 

  • Swartout, K. M., & Swartout, A. G. (2012). Shifting perspectives: Applying person-centered analyses to violence research. Psychology of Violence, 2(4), 309–312.

    Article  Google Scholar 

  • Teasley, M. L. (2004). Absenteeism and truancy: Risk, protection, and best practice implications for school social workers. Children and Schools, 26, 117–126.

    Article  Google Scholar 

  • Vaughn, M. G., Maynard, B. R., Salas-Wright, C. P., Perron, B. E., & Abdon, A. (2013). Prevalence and correlates of truancy in the US: Results from a national sample. Journal of Adolescence, 36(4), 767–776.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wagner, M., Marder, C., Blackorby, J., Cameto, R., Newman, L., Levine, P., & Davies-Mercier, E. (with Chorost, M., Garza, N., Guzman, A., & Sumi, C.) (2003). The achievements of youth with disabilities during secondary school. A report from the National Longitudinal Transition Study-2 (NLTS2). Menlo Park, CA: SRI International. www.nlts2.org.

  • Weitzman, M., et al. (1986). High risk youth and health: the case of excessive school absence. Pediatrics, 78, 313–322.

    PubMed  Google Scholar 

  • Zhang, D., Katsiyannis, A., Barrett, D. E., & Willson, V. (2007). Truancy offenders in the juvenile justice system examinations of first and second referrals. Remedial and Special Education, 28(4), 244–256.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chin-Chih Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, CC., Culhane, D.P., Metraux, S. et al. The Heterogeneity of Truancy among Urban Middle School Students: A Latent Class Growth Analysis. J Child Fam Stud 25, 1066–1075 (2016). https://doi.org/10.1007/s10826-015-0295-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10826-015-0295-3

Keywords

Navigation