Skip to main content

Advertisement

Log in

Can Universal SEL Programs Benefit Universally? Effects of the Positive Action Program on Multiple Trajectories of Social-Emotional and Misconduct Behaviors

  • Published:
Prevention Science Aims and scope Submit manuscript

Abstract

Behavioral trajectories during middle childhood are predictive of consequential outcomes later in life (e.g., substance abuse, violence). Social and emotional learning (SEL) programs are designed to promote trajectories that reflect both growth in positive behaviors and inhibited development of negative behaviors. The current study used growth mixture models to examine effects of the Positive Action (PA) program on behavioral trajectories of social-emotional and character development (SECD) and misconduct using data from a cluster-randomized trial that involved 14 schools and a sample of predominately low-income, urban youth followed from 3rd through 8th grade. For SECD, findings indicated that PA was similarly effective at improving trajectories within latent classes characterized as “high/declining” and “low/stable”. Favorable program effects were likewise evident to a comparable degree for misconduct across observed latent classes that reflected “low/rising” and “high/rising” trajectories. These findings suggest that PA and perhaps other school-based universal SEL programs have the potential to yield comparable benefits across subgroups of youth with differing trajectories of positive and negative behaviors, making them promising strategies for achieving the intended goal of school-wide improvements in student outcomes.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Acock, A. C. (2012). What to do about missing values. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), Data analysis and research publication. APA handbook of research methods in psychology (Vol. 3, pp. 27–50). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Asparouhov, T. (2005). Sampling weights in latent variable modeling. Structural Equation Modeling, 12, 411–434. doi:10.1207/s15328007sem1203_4.

    Article  Google Scholar 

  • Bauer, D. J., & Curran, P. J. (2003). Distributional assumptions of growth mixture models: Implications for overextraction of latent trajectory classes. Psychological Methods, 8, 338. doi:10.1037/1082-989X.8.3.338.

    Article  PubMed  Google Scholar 

  • Bavarian, N., Lewis, K. M., DuBois, D. L., Acock, A., Vuchinich, S., Silverthorn, N.,…Flay, B. R. (2013). Using social-emotional and character development to improve academic outcomes: A matched-pair, cluster-randomized controlled trial in low-income, urban schools. Journal of School Health, 83, 771–779. doi:10.1111/josh.12093.

  • Beets, M. W., Flay, B. R., Vuchinich, S., Snyder, F. J., Acock, A., Li, K. K.,…Durlak, J. (2009). Use of a social and character development program to prevent substance use, violent behaviors, and sexual activity among elementary-school students in Hawaii. American Journal of Public Health, 99, 1438–1445. doi:10.2105/ajph.2008.142919.

  • Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371–399. doi:10.1146/annurev.psych.53.100901.135233.

    Article  PubMed  Google Scholar 

  • Brown, C. H., Wang, W., Kellam, S. G., Muthén, B. O., Petras, H., Toyinbo, P.,…Chamberlain, P. (2008). Methods for testing theory and evaluating impact in randomized field trials: Intent-to-treat analyses for integrating the perspectives of person, place, and time. Drug and Alcohol Dependence, 95, S74-S104. doi:10.1016/j.drugalcdep.2007.11.013.

  • DuBois, D. L., Flay, B. R., & Fagen, M. C. (2009). Self-esteem enhancement theory: Promoting health across the lifespan. In R. J. DiClements, R. A. Cosby, & M. Kegler (Eds.), Emerging theories in health promotion practice and research (pp. 97–130). San Francicsco: Jossey-Bass.

    Google Scholar 

  • Durlak, J. A., Weissberg, R. P., Dymnicki, A. B., Taylor, R. D., & Schellinger, K. B. (2011). The impact of enhancing students’ social and emotional learning: A meta-analysis of school-based universal interventions. Child Development, 82, 405–432. doi:10.1111/j.1467-8624.2010.01564.x.

    Article  PubMed  Google Scholar 

  • Elliott, D. S., Ageton, S. S., Huizinga, D., Knowles, B. A., & Canter, R. J. (1983). The prevalence and incidence of delinquent behavior: 1976–1980 (National Youth Survey Report No. 26). Boulder: Behavioral Research Institute.

    Google Scholar 

  • Farahmand, F. K., Grant, K. E., Polo, A. J., & Duffy, S. N. (2011). School-based mental health and behavioral programs for low- income, urban youth: A systematic and meta-analytic review. Clinical Psychology: Science and Practice, 18, 372–390. doi:10.1111/j.1468-2850.2011.01265.x.

    Google Scholar 

  • Flay, B. R., & Allred, C. G. (2010). The Positive Action program: Improving academics, behavior, and character by teaching comprehensive skills for successful learning and living. In T. Lovat, R. Toomey, & N. Clement (Eds.), International research handbook on values education and student wellbeing (pp. 471–501). Netherlands: Springer. doi:10.1007/978-90-481-8675-4_28.

    Chapter  Google Scholar 

  • Gottfredson, D. C., & Wilson, D. B. (2003). Characteristics of effective school-based substance abuse prevention. Prevention Science, 4, 27–38. doi:10.1023/A:1021782710278.

    Article  PubMed  Google Scholar 

  • Ji, P., Flay, B. R., & DuBois, D. L. (2013). Social-emotional and character development scale: Development and initial validation with urban elementary school students. Journal of Research in Character Education, 9, 121–147.

    Google Scholar 

  • Kokko, K., Tremblay, R. E., Lacourse, E., Nagin, D. S., & Vitaro, F. (2006). Trajectories of prosocial behavior and physical aggression in middle childhood: Links to adolescent school dropout and physical violence. Journal of Research on Adolescence, 16, 403–428. doi:10.1111/j.1532-7795.2006.00500.x.

    Article  Google Scholar 

  • Kreuter, F., & Muthén, B. (2008). Analyzing criminal trajectory profiles: Bridging multilevel and group-based approaches using growth mixture modeling. Journal of Quantitative Criminology, 24, 1–31. doi:10.1007/s10940-007-9036-0.

    Article  Google Scholar 

  • Lerner, R. M., Almerigi, J. B., Theokas, C., & Lerner, J. V. (2005). Positive youth development. Journal of Early Adolescence, 25, 1–144. doi:10.1177/0272431604273211.

    Google Scholar 

  • Lewin-Bizan, S., Lynch, A. D., Fay, K., Schmid, K., McPherran, C., Lerner, J. V., & Lerner, R. M. (2010). Trajectories of positive and negative behaviors from early-to middle-adolescence. Journal of Youth and Adolescence, 39, 751–763. doi:10.1007/s10964-010-9532-7.

    Article  PubMed  Google Scholar 

  • Lewis, K. M., Schure, M. B., Bavarian, N., DuBois, D. L., Day, J., Ji, P., …Flay, B. F. (2013). Problem behavior and urban, low-income youth: A randomized controlled trial of Positive Action in Chicago. American Journal of Preventive Medicine, 6, 622–630. doi: 10.1016/j.amepre.2013.01.030

  • Lewis, K. M., Vuchinich, S., Ji, P., DuBois, D. L., Acock, A., Bavarian, N., …Flay, B. R. (2016). Effects of the positive action program on indicators of positive youth development among urban youth. Applied Developmental Science, 20, 16–28. doi:10.1080/10888691.2015.1039123.

  • Li, K.-K., Washburn, I., DuBois, D. L., Vuchinich, S., Ji, P., Brechling, V.,…Flay, B. R. (2011). Effects of the Positive Action programme on problem behaviors in elementary school students: A matched-pair, randomized control trial in Chicago. Psychology & Health, 26, 187–204. doi:10.1080/08870446.2011.531574.

  • Liu, L. C., Hedeker, D., Segawa, E., & Flay, B. R. (2010). Evaluation of longitudinal intervention effects: An example of latent growth mixture models for ordinal drug-use outcomes. Journal of Drug Issues, 40, 27–43. doi:10.1177/002204261004000103.

    Article  Google Scholar 

  • Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88, 767–778. doi:10.1093/biomet/88.3.767.

    Article  Google Scholar 

  • Moffitt, T. E., & Caspi, A. (2001). Childhood predictors differentiate life-course persistent and adolescence-limited antisocial pathways among males and females. Development and Psychopathology, 13, 355–375.

    Article  CAS  PubMed  Google Scholar 

  • Muthén, B. (2004). Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (Ed.), Handbook of quantitative methodology for the social sciences (pp. 345–368). Newbury Park: Sage Publications.

    Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (7th ed.). Los Angeles: Muthén & Muthén.

  • Muthén, B., Brown, C. H., Masyn, K., Jo, B., Khoo, S. T., Yang, C. C.,…Liao, J. (2002). General growth mixture modeling for randomized preventive interventions. Biostatistics, 3, 459–475. doi:10.1093/biostatistics/3.4.459.

  • Nantel-Vivier, A., Kokko, K., Caprara, G. V., Pastorelli, C., Gerbino, M. G., Paciello, M.,…Tremblay, R. E. (2009). Prosocial development from childhood to adolescence: A multi informant perspective with Canadian and Italian longitudinal studies. Journal of Child Psychology and Psychiatry, 50, 590–598. doi:10.1111/j.1469-7610.2008.02039.x.

  • Orpinas, P., & Frankowski, R. (2001). The aggression scale: A self-report measure of aggressive behavior for young adolescents. Journal of Early Adolescence, 21, 50–67. doi:10.1177/0272431601021001003.

    Article  Google Scholar 

  • Ramaswamy, V., DeSarbo, W. S., Reibstein, D. J., & Robinson, W. T. (1993). An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Marketing Science, 12, 103–124. doi:10.1287/mksc.12.1.103.

    Article  Google Scholar 

  • Schaeffer, C. M., Petras, H., Ialongo, N., Poduska, J., & Kellam, S. (2003). Modeling growth in boys’ aggressive behavior across elementary school: Links to later criminal involvement, conduct disorder, and antisocial personality disorder. Developmental Psychology, 39, 1020–1035. doi:10.1037/0012-1649.39.6.1020.

    Article  PubMed  Google Scholar 

  • Schaeffer, C. M., Petras, H., Ialongo, N., Masyn, K. E., Hubbard, S., Poduska, J., & Kellam, S. (2006). A comparison of girls’ and boys’ aggressive-disruptive behavior trajectories across elementary school: Prediction to young adult antisocial outcomes. Journal of Consulting and Clinical Psychology, 74, 500–510. doi:10.1037/0022-006X.74.3.500.

    Article  PubMed  Google Scholar 

  • Sclove, S. L. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52, 333–343. doi:10.1007/BF02294360.

    Article  Google Scholar 

  • Sterba, S. K., & Bauer, D. J. (2010). Matching method with theory in person-oriented developmental psychopathology research. Development and Psychopathology, 22, 239–254. doi:10.1017/S0954579410000015.

    Article  PubMed  Google Scholar 

  • Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. West Sussex: Wiley.

    Book  Google Scholar 

  • Washburn, I. J., Acock, A., Vuchinich, S., Snyder, F., Li, K.-K., Ji, P.,…Flay, B. R. (2011). Effects of a social-emotional and character development program on the trajectory of behaviors associated with social-emotional and character development: Findings from three randomized trials. Prevention Science, 12, 314–323. doi:10.1007/s11121-011-0230-9.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert Duncan.

Ethics declarations

Funding

The research reported here was supported by grants from the Institute of Education Sciences (IES), US Department of Education: R305L030072, R305L030004, R305A080253, and R305B120013 to the University of Illinois, Chicago (2003–2005), Oregon State University (2005–2012), and the University of California, Irvine (2015–2017). The initial phase (R305L030072), a component of the Social and Character Development (SACD) Research Consortium, was a collaboration among IES, the Centers for Disease Control and Prevention’s (CDC) Division of Violence Prevention, Mathematica Policy Research Inc. (MPR), and awardees of SACD cooperative agreements (Children’s Institute, New York University, Oregon State University, University at Buffalo-SUNY, University of Maryland, University of North Carolina-Chapel Hill, and Vanderbilt University). Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health (NIH) under Award Number P01HD06570. The opinions expressed are those of the authors and do not represent views of the IES, the US Department of Education or NIH.

Conflict of interest

The research described herein was conducted using the program, the training, and technical support of Positive Action, Inc. in which Brian R. Flay’s spouse holds a significant financial interest. Conflict of interest issues were reported to the relevant institutions and appropriately managed following the institutional guidelines.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Table 2

(DOCX 15 kb)

Figure 4

(DOCX 179 kb)

Table 3

(DOCX 14 kb)

Table 4

(DOCX 15 kb)

Figure 5

(DOCX 184 kb)

Figure 6

(DOCX 185 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Duncan, R., Washburn, I.J., Lewis, K.M. et al. Can Universal SEL Programs Benefit Universally? Effects of the Positive Action Program on Multiple Trajectories of Social-Emotional and Misconduct Behaviors. Prev Sci 18, 214–224 (2017). https://doi.org/10.1007/s11121-016-0745-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11121-016-0745-1

Keywords

Navigation