Skip to main content
Log in

Promoting Alternative Thinking Strategies (PATHS) and Elementary School Aged Children’s Aggression: Results from a Cluster Randomized Trial

  • Original Article
  • Published:
American Journal of Community Psychology

Abstract

This study reports on aggressive outcomes from a cluster randomized trial of the Promoting Alternative Thinking Strategies (PATHS) curriculum. Fourteen elementary schools were randomly assigned to intervention or control condition and third grade students were followed through the fifth grade. Teacher and self-reports of student aggression, conduct problems, delinquency, acting out problems, and social information processing (SIP) variables were collected. Linear change for each of the SIP variables was noted with control students demonstrating increased normative beliefs about aggression, increased aggressive social problem solving, increased hostile attribution bias, and increased aggressive interpersonal negotiation strategies over time while PATHS students remained relatively stable. Teachers reported significant curvilinear change in student aggression, conduct problems, and acting out behavior problems; all favoring PATHS students.

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
Fig. 3

Similar content being viewed by others

Notes

  1. Per use of IES restricted use data license, sample sizes must be rounded to the nearest 10 for data collected via the national evaluation protocol.

  2. As pointed out by one anonymous reviewer, self-report reliability estimates for younger students are likely to improve over time as students age and become more experienced with the measures. While not typically linear, alphas did improve over time for a number of these measures (results available from first author).

  3. With the current outcomes, post hoc power analyses suggests that power to detect a small effect (.20) using a probability of .05 ranged from .30–.61 and improved to .45–.74 with a probability level of .10 (Spybrook et al. 2011).

References

  • Aber, J. L., Brown, J. L., & Jones, S. M. (2003). Developmental trajectories toward violence in middle childhood: Course, demographic differences, and response to school-based intervention. Developmental Psychology, 39, 324–348.

    Article  PubMed  Google Scholar 

  • Achenbach, T. M., McConaughy, S. H., & Howell, C. T. (1987). Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specificity. Psychological Bulletin, 101, 213–232.

    Article  PubMed  Google Scholar 

  • Beets, M. W., Flay, B. R., Vuchinich, S., Snyder, F. J., Acock, A., Li, K. K., et al. (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.

    Article  PubMed  Google Scholar 

  • Borman, G. D., Hewes, G. M., Overman, L. T., & Brown, S. (2003). Comprehensive school reform: A meta-analysis. Review of Educational Research, 73, 125–230.

    Article  Google Scholar 

  • Brown, C. H., Wang, W., Kellam, S. G., Muthen, B. O., Petras, H., Toyinbo, P., et al. (2008). Methods for testing theory and evaluating impact in randomized field trials: Intent-to-treat analyses for integrating the perspective of person, place, and time. Drug and Alcohol Dependence, 95(Suppl. 1), S74–S104.

    Google Scholar 

  • Cohen, J. (1994). The earth is round (p < .05). American Psychologist, 49, 997–1003.

    Article  Google Scholar 

  • Conduct Problems Prevention Research Group (CPPRG). (1999). Initial impact of the fast track prevention trial for conduct problems: II. Classroom effects. Journal of Consulting and Clinical Psychology, 67, 648–657.

    Article  Google Scholar 

  • Conduct Problems Prevention Research Group (CPPRG). (2002). Evaluation of the first 3 years of the fast track prevention trial with children at high risk for adolescent conduct problems. Journal of Abnormal Child Psychology, 30, 19–35.

    Article  Google Scholar 

  • Conduct Problems Prevention Research Group (CPPRG). (2010). The effects of a multiyear universal social-emotional learning program: The role of student and school characteristics. Journal of Consulting and Clinical Psychology, 78, 156–168.

    Article  Google Scholar 

  • Cowen, E. L., Hightower, A. D., Pedro-Carroll, J., Work, W. C., Wyman, P. A., & Haffey, W. G. (1996). School based prevention for children at risk: The primary mental health project. Washington: American Psychological Association.

    Book  Google Scholar 

  • Cuijpers, P. (2003). Examining the effects of prevention programs on the incidence of new cases of mental disorders: The lack of statistical power. American Journal of Psychiatry, 160, 1385–1391.

    Article  PubMed  Google Scholar 

  • Dahlberg, L. L., Toal, S. B., Swahn, M., & Behrens, C. B. (2005). Measuring violence-related attitudes, behaviors, and influences among youths: A compendium of assessment tools, 2nd edition. Atlanta, GA: Centers for Disease Control and Prevention.

  • Dinkes, R., Kemp, J., & Baum, K. (2009). Indicators of school crime and safety: 2009 (NCES 2010–012/NCJ 228478). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice.

  • Dodge, K. A. (1986). A social information processing model of social competence in children. In M. Perlmutter (Ed.), Minnesota symposium on child psychology (Vol. 18, pp. 77–125). Hillsdale, NJ: Erlbaum.

  • Dodge, K. A., Coie, J. D., & Lynam, D. (2006). Aggression and antisocial behavior in youth. In N. Eisenberg, W. Damon, & R. M. Lerner (Eds.), Handbook of child psychology: Vol. 3, social, emotional, and personality development (6th ed., pp. 719–788). Hoboken: Wiley.

    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.

    Article  PubMed  Google Scholar 

  • Feingold, A. (2009). Effect sizes for growth-modeling for controlled clinical trials in the same metric as for classical analysis. Psychological Methods, 14, 43–53.

    Article  PubMed  Google Scholar 

  • Fraser, M. W., Guo, S., Ellis, A. R., Day, S. H., Li, J., Wike, T. L., & Farmer, T. W. (2009). Social and character development in elementary school: Effects from a controlled trial. Manuscript submitted for publication. Chapel Hill: University of North Carolina.

  • Gandhi, A. G., Murphy-Graham, E., Petrosino, A., Chrismer, S. S., & Weiss, C. H. (2007). The devil is in the details: Examining the evidence for “proven” school-based drug abuse prevention programs. Evaluation Review, 31, 43–74. doi:10.1177/0193841X06287188.

    Article  PubMed  Google Scholar 

  • Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549–576.

    Article  PubMed  Google Scholar 

  • Greenberg, M. T., & Kusche, C. A. (2006). Building social and emotional competence: The PATHS curriculum. In S. R. Jimerson & M. J. Furlong (Eds.), The handbook of school violence and school safety: From research to practice (pp. 395–412). Mahwah: Erlbaum.

    Google Scholar 

  • Greenberg, M. T., Kusche, C. A., & Mihalic, S. F. (2002). Blueprints for violence prevention, book ten: Promoting alternative thinking strategies (PATHS). Boulder: Center for the Study and Prevention of Violence.

    Google Scholar 

  • Hahn, R., Fuqua-Whitley, D., Wethington, H., Lowy, J., Crosby, A., Fullilove, M., et al. (2007). Effectiveness of universal school-based programs to prevent violent and aggressive behavior: A systematic review. American Journal of Preventive Medicine, 33(Suppl. 2), 114–129.

    Article  Google Scholar 

  • Hightower, A. D., Work, W. C., Cowen, E. L., Lotyczewski, B. S., Spinell, A. P., Guare, J. C., et al. (1986). The teacher-child rating scale: A brief objective measure of elementary children’s school problem behaviors and competencies. School Psychology Review, 15, 393–409.

    Google Scholar 

  • Holder, H. (2010). Prevention programs in the 21st century: What we do not discuss in public. Addiction, 105, 578–581.

    Article  PubMed  Google Scholar 

  • Huesmann, L. R. (1988). An information-processing model for the development of aggression. Aggressive Behavior, 14, 13–24.

    Article  Google Scholar 

  • Huesmann, L. R., & Guerra, N. G. (1997). Children’s normative beliefs about aggression and aggressive behavior. Journal of Personality and Social Psychology, 72, 408–419.

    Article  PubMed  Google Scholar 

  • Kam, C. M., Greenberg, M. T., & Kusche, C. A. (2004). Sustained effects of the PATHS curriculum on the social and psychological adjustment of children in special education. Journal of Emotional and Behavioral Disorders, 12, 66–78.

    Article  Google Scholar 

  • Lochman, J. E., & Dodge, K. A. (1994). Social-cognitive processes of severely violent, moderately aggressive, and nonaggressive boys. Journal of Consulting and Clinical Psychology, 62, 366–374.

    Article  PubMed  Google Scholar 

  • McClelland, G. H., & Judd, C. M. (1993). Statistical difficulties of detecting interactions and moderator effects. Psychological Bulletin, 114, 376–390.

    Article  PubMed  Google Scholar 

  • Nelson, S. E., & Dishion, T. J. (2004). From boys to men: Predicting adult aggression from middle childhood sociometric status. Development and Psychopathology, 16, 441–459.

    Article  PubMed  Google Scholar 

  • Orpinas, P. (2009). Measurement manual: Description of aggression, victimization, and social skills scales. University of Georgia, Athens: Unpublished document.

  • 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.

    Article  Google Scholar 

  • Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., & Congdon, R. T. (2004). HLM 6: Hierarchical linear and nonlinear modeling. Chicago: Scientific Software International.

    Google Scholar 

  • Renk, K. (2005). Cross-informant ratings of the behavior of children and adolescents: The “Gold Standard”. Journal of Child and Family Studies, 14, 457–468.

    Article  Google Scholar 

  • Reynolds, C. R., & Kamphaus, R. W. (2004). Behavior assessment system for children, 2nd edition, manual. Minneapolis, MN: Pearson Assessments.

    Google Scholar 

  • Social and Character Development Research Consortium. (2010). Efficacy of schoolwide programs to promote social and character development and reduce problem behavior in elementary school children (NCER 2011–2001). Washington, DC: National Center for Education Research, Institute of Education Sciences, U.S. Department of Education.

    Google Scholar 

  • Spybrook, J., Bloom, H., Congdon, R., Hill, C., Martinez, A., & Raudenbush, S. (2011). Optimal design plus empirical evidence: Documentation for the “Optimal Design” software. Available at http://www.wtgrantfoundation.org/resources/consultation-service-and-optimal-design.

  • Vuchinich, S., Flay, B. R., Aber, L., & Bickman, L. (2012). Person mobility in the design and analysis of cluster-randomized cohort prevention trials. Prevention Science, 13(3), 300–313.

    Article  PubMed  Google Scholar 

  • Wilson, S. J., & Lipsey, M. W. (2007). School-based interventions for aggressive and disruptive behaviors: Update of a meta-analysis. American Journal of Preventive Medicine, 33(Suppl. 2), S130–S143.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This study was supported by a grant from the Institute of Education Sciences of the US Department of Education and the Division of Violence Prevention in the National Center for Injury Prevention and Control, Centers for Disease Control and Prevention (R305L030165). Hugh F. Crean and Deborah B. Johnson served as co-principal investigators. We wish to thank William C. Work, Emma Forbes-Jones, Marc Fraser, and Steven Day for comments on earlier versions of this article. We also thank the students, parents, and teachers of the participating schools.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hugh F. Crean.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Crean, H.F., Johnson, D.B. Promoting Alternative Thinking Strategies (PATHS) and Elementary School Aged Children’s Aggression: Results from a Cluster Randomized Trial. Am J Community Psychol 52, 56–72 (2013). https://doi.org/10.1007/s10464-013-9576-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10464-013-9576-4

Keywords

Navigation