Prevention Science

, Volume 13, Issue 3, pp 252–266

Effects of a Universal Parenting Program for Highly Adherent Parents: A Propensity Score Matching Approach

  • Manuel Eisner
  • Daniel Nagin
  • Denis Ribeaud
  • Tina Malti
Article

Abstract

This paper examines the effectiveness of a group-based universal parent training program as a strategy to improve parenting practices and prevent child problem behavior. In a dissemination trial, 56 schools were first selected through a stratified sampling procedure, and then randomly allocated to treatment conditions. 819 parents of year 1 primary school children in 28 schools were offered Triple P. 856 families in 28 schools were allocated to the control condition. Teacher, primary caregiver and child self-report data were collected at baseline, post, and two follow-up assessments. Analyses were constrained to highly adherent parents who completed all four units of the parenting program. A propensity score matching approach was used to compare parents fully exposed to the intervention with parents in the control condition, who were matched on 54 baseline characteristics. Results suggest that the intervention had no consistent effects on either five dimensions of parenting practices or five dimensions of child problem behavior, assessed by three different informants. These findings diverge from findings reported by program developers and distributors. Potential explanations for the discrepancy and implications for future research are discussed.

Keywords

Prevention Randomized controlled trial Propensity score matching Parent training 

References

  1. Achenbach, T. M., & Edelbrock, C. S. (1981). Behavioral problems and competencies reported by parents of normal and disturbed children aged four through sixteen. Monographs of the Society for Research in Child Development, 46, 1–82.PubMedCrossRefGoogle Scholar
  2. Arpino, B., & Mealli, F. (2011). The specification of the propensity score in multilevel observational studies. Computational Statistics and Data Analysis, 55, 1770–1780.CrossRefGoogle Scholar
  3. Barlow, J., & Stewart-Brown, S. (2000). Behavior problems and group-based parent education programs. Journal of Developmental and Behavioral Pediatrics, 21, 356–370.PubMedCrossRefGoogle Scholar
  4. Bauer, N. S., Lozano, P., & Rivara, F. P. (2007). The effectiveness of the Olweus Bullying Prevention Program in public middle schools: A controlled trial. The Journal of Adolescent Health, 40, 266–274.PubMedCrossRefGoogle Scholar
  5. Becker, S. O., & Ichino, A. (2002). Estimation of average treatment effects based on propensity scores. The Stata Journal, 2, 358–377.Google Scholar
  6. Brookhart, M. A., Schneeweiss, S., Rothman, K. J., Glynn, R. J., Avorn, J., & Sturmer, T. (2006). Variable selection for propensity score models. American Journal of Epidemiology, 163, 1149–1156.PubMedCrossRefGoogle Scholar
  7. Caliendo, M., & Kopeinig, S. (2005). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22, 31–72.CrossRefGoogle Scholar
  8. Capaldi, D. M., Chamberlain, P., & Patterson, G. R. (1997). Ineffective discipline and conduct problems in males: Association, late adolescent outcomes, and prevention. Aggression and Violent Behavior, 2, 343–353.CrossRefGoogle Scholar
  9. Clerkin, S. M., Marks, D. J., Policaro, K. L., & Halperin, J. M. (2007). Psychometric properties of the Alabama Parenting Questionnaire-preschool revision. Journal of Clinical Child & Adolescent Psychology, 36, 19–28.Google Scholar
  10. D’Agostino, R. B. (1998). Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine, 17, 2265–2281.PubMedCrossRefGoogle Scholar
  11. de Graaf, I., Onrust, S., Haverman, M., & Janssens, J. (2009). Helping families improve: An evaluation of two primary care approaches to parenting support in the Netherlands. Infant and Child Development, 18, 481–501.CrossRefGoogle Scholar
  12. Dehejia, R. H., & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. Review of Economics and Statistics, 84, 151–161.CrossRefGoogle Scholar
  13. Diaz, J. J., & Handa, S. (2006). An assessment of propensity score matching as a nonexperimental impact estimator: Evidence from Mexico’s PROGRESA program. Journal of Human Resources, XLI, 319–345.Google Scholar
  14. Dumas, J. E., Nissley-Tsiopinis, J., & Moreland, A. D. (2007). From intent to enrollment, attendance, and participation in preventive parenting groups. Journal of Child and Family Studies, 16, 1–26.CrossRefGoogle Scholar
  15. Dumka, L. E., Grarza, C. A., Roosa, M. W., & Stoerzinger, H. D. (1997). Recruitment and retention of high-risk families into a preventive parent training intervention. Journal of Primary Prevention, 18, 25–37.CrossRefGoogle Scholar
  16. Eisner, M., & Ribeaud, D. (2005). A randomised field experiment to prevent violence: The Zurich intervention and prevention project at schools, ZIPPS. European Journal of Crime, Criminal Law and Criminal Justice, 13, 27–43.CrossRefGoogle Scholar
  17. Eisner, M., & Ribeaud, D. (2007). Conducting a criminological survey in a culturally diverse context: Lessons from the Zurich project on the social development of children. European Journal of Criminology, 4, 271–288.CrossRefGoogle Scholar
  18. Eisner, M., Meidert, U., Ribeaud, D., & Malti, T. (2011). From enrollment to utilization – stages of parental engagement in a universal parent training program. Journal of Primary Prevention, 32, 83–93.PubMedCrossRefGoogle Scholar
  19. Essau, C. A., Sasagawa, S., & Frick, P. J. (2006). Psychometric properties of the Alabama Parenting Questionnaire. Journal of Child and Family Studies, 15, 597–616.CrossRefGoogle Scholar
  20. Eyberg, S. M., & Ross, A. W. (1978). Assessment of child behavior problems: The validation of a new inventory. Journal of Consulting and Clinical Psychology, 7, 113–116.Google Scholar
  21. Farrington, D. P., & Welsh, B. C. (2007). Saving children from a life of crime; early risk factors and effective interventions. Oxford, UK: Oxford University Press.Google Scholar
  22. Friedman, L. S., & Richter, E. D. (2004). Relationship between conflicts of interest and research results. Journal of General Internal Medicine, 19, 51–56.PubMedCrossRefGoogle Scholar
  23. Gottfredson, D., Kumpfer, K., Polizzi-Fox, D., Wilson, D., Puryear, V., Beatty, P., & Vilmenay, M. (2006). The Strengthening Washington D.C. Families project: A randomized effectiveness trial of family-based prevention. Prevention Science, 7, 57–74.PubMedCrossRefGoogle Scholar
  24. Greenberg, M. T., Kusché, C. A., & Mihalic, S. F. (1998). Blueprints for violence prevention, book ten: Promoting Alternative Thinking Strategies (PATHS). Boulder, CO: Center for the Study and Prevention of Violence.Google Scholar
  25. Gross, D., Garvey, C., Julion, W., Fogg, L., Tucker, S., & Mokros, H. (2009). Efficacy of the Chicago Parent Program with low-income African American and Latino parents of young children. Prevention Science, 10, 54–65.PubMedCrossRefGoogle Scholar
  26. Guo, S., & Fraser, M. W. (2010). Propensity score analysis: Statistical methods and applications. Thousand Oaks, CA: Sage.Google Scholar
  27. Guo, S., Barth, R. P., & Gibbons, C. (2006). Propensity score matching strategies for evaluating substance abuse services for child welfare clients. Children and Youth Services Review, 28, 357–383.CrossRefGoogle Scholar
  28. Haggerty, K. P., Fleming, C. B., Lonczak, H. S., Oxford, M. L., Harachi, T. W., & Catalano, R. F. (2002). Predictors of participation in parenting workshops. Journal of Primary Prevention, 22, 375–387.CrossRefGoogle Scholar
  29. Hallfors, D., Cho, H., Sanchez, V., Khatapoush, S., Kim, H. M., & Bauer, D. (2006). Efficacy vs effectiveness trial results of an indicated “model” substance abuse program: Implications for public health. American Journal of Public Health, 96, 2254–2259.PubMedCrossRefGoogle Scholar
  30. Haviland, A., Nagin, D. S., & Rosenbaum, P. R. (2007). Combining propensity score matching and group-based trajectory analysis in an observational study. Psychological Methods, 12, 247–267.PubMedCrossRefGoogle Scholar
  31. Heinrichs, N., Bertram, H., Kuschel, A., & Hahlweg, K. (2005). Parent recruitment and retention in a universal prevention program for child behavior and emotional problems: Barriers to research and program participation. Prevention Science, 6, 275–286.PubMedCrossRefGoogle Scholar
  32. Heinrichs, N., Hahlweg, K., Bertram, H., Kuschel, A., Naumann, S., & Harstick, S. (2006). Die langfristige Wirksamkeit eines Elterntrainings zur universellen Prävention kindlicher Verhaltensstörungen: Ergebnisse aus Sicht der Mütter und Väter. Zeitschrift für klinische Psychologie und Psychotherapie, 35, 82–96.CrossRefGoogle Scholar
  33. Hiscock, H., Bayer, J. K., Price, A., Ukoumunne, O. C., Rogers, S., & Wake, M. (2008). Universal parenting programme to prevent early childhood behavioural problems: Cluster randomised trial. BMJ, 336, 318–321.PubMedCrossRefGoogle Scholar
  34. Jenson, J. M., & Dieterich, W. A. (2007). Effects of a skills-based prevention program on bullying and bully victimization among elementary school children. Prevention Science, 8, 285–296.PubMedCrossRefGoogle Scholar
  35. Lacourse, E., Côté, S., Nagin, D. S., Vitaro, F., Brendgen, M., & Tremblay, R. E. (2002). A longitudinal-experimental approach to testing theories of antisocial behavior development. Development and Psychopathology, 14, 909–924.PubMedCrossRefGoogle Scholar
  36. Leuven, E., & Sianesi, B. (2003). PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Retrieved from http://ideas.repec.org/c/boc/bocode/s432001.html.
  37. Loeber, R., & Stouthamer-Loeber, M. (1986). Family factors as correlates and predictors of juvenile conduct problems and delinquency. In M. Tonry & N. Morris (Eds.), Crime and justice ((pp, Vol. 7, pp. 29–149). Chicago, IL: Chicago University Press.Google Scholar
  38. Lösel, F., Beelmann, A., Stemmler, M., & Jaursch, S. (2006). Probleme des Sozialverhaltens im Vorschulalter: Evaluation des Eltern- und Kindertrainings EFFEKT. Zeitschrift für klinische Psychologie und Psychotherapie, 35, 127–139.CrossRefGoogle Scholar
  39. Lundahl, B., Risser, H. J., & Lovejoy, M. C. (2006). A meta-analysis of parent training: Moderators and follow-up effects. Clinical Psychology Review, 26, 86–104.PubMedCrossRefGoogle Scholar
  40. Malti, T., Ribeaud, D., & Eisner, M. (2011). The effects of two universal preventive interventions to reduce children’s externalizing behavior: A cluster randomized controlled trial. Journal of Clinical Child and Adolescent Psychology, 40, 677–692. doi:10.1080/15374416.2011.597084.PubMedCrossRefGoogle Scholar
  41. Maughan, D. R., Christiansen, E., Jenson, W. R., Olympia, D., & Clark, E. (2005). Behavioral parent training as a treatment for externalizing behaviors and disruptive behavior disorders: A meta-analysis. School Psychology Review, 34, 267–286.Google Scholar
  42. McConnell, D., Breitkreuz, R., & Savage, A. (2011). Independent evaluation of the Triple P Positive Parenting Program in family support service settings. Child & Family Social Work. doi:10.1111/j.1365-2206.2011.00771.
  43. McTaggart, P., & Sanders, M. R. (2003). The transition to school project: Results from the classroom. Australian e-Journal for the Advancement of Mental Health, 2, 1–12.Google Scholar
  44. Morawska, A., & Sanders, M. R. (2006). A review of parental engagement in parenting interventions and strategies to promote it. Journal of Children’s Services, 1, 29–40.Google Scholar
  45. Morgan, S. L., & Harding, D. J. (2006). Matching estimators of causal effects: Prospects and pitfalls in theory and practice. Sociological Methods Research, 35, 3–60.CrossRefGoogle Scholar
  46. Nixon, R. D. V. (2002). Treatment of behavior problems in preschoolers: A review of parent training programs. Clinical Psychology Review, 22, 525–546.PubMedCrossRefGoogle Scholar
  47. Nowak, C., & Heinrichs, N. (2008). A comprehensive meta-analysis of Triple P-Positive Parenting Program using hierarchical linear modeling: Effectiveness and moderating variables. Clinical Child and Family Psychology Review, 11, 114–144.PubMedCrossRefGoogle Scholar
  48. Oakes, J. M., & Feldman, H. A. (2001). Statistical power for nonequivalent pretest-posttest designs: The impact of change-score versus ANCOVA models. Evaluation Review, 25, 3–28.PubMedCrossRefGoogle Scholar
  49. Onur, B. (2006). Too much ado about propensity score models? Comparing methods of propensity score matching. Value in Health, 9, 377–385.CrossRefGoogle Scholar
  50. Perlis, R. H., Perlis, C. S., Wu, Y., Hwang, C., Joseph, M., & Nierenberg, A. A. (2005). Industry sponsorship and financial conflict of interest in the reporting of clinical trials in psychiatry. American Journal of Psychiatry, 162, 1957–1960.PubMedCrossRefGoogle Scholar
  51. Petrosino, A., & Soydan, H. (2005). The impact of program developers as evaluators on criminal recidivism: Results from meta-analyses of experimental and quasi-experimental research. Journal of Experimental Criminology, 1, 435–450.CrossRefGoogle Scholar
  52. Piquero, A., Farrington, D. P., Welsh, B. C., Tremblay, R. E., & Jennings, W. (2009). Effects of early family/parent training programs on antisocial behavior and delinquency. Journal of Experimental Criminology, 5, 83–120.CrossRefGoogle Scholar
  53. Reyno, S. M., & McGrath, P. J. (2006). Predictors of parent training efficacy for child externalizing behavior problems - a meta-analytic review. Journal of Child Psychology and Psychiatry, 47, 99–111.PubMedCrossRefGoogle Scholar
  54. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–55.CrossRefGoogle Scholar
  55. Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39, 33–38.Google Scholar
  56. Rubin, D. B., & Thomas, N. (1996). Matching using estimated propensity scores: Relating theory to practice. Biometrics, 52, 249–264.PubMedCrossRefGoogle Scholar
  57. Sanders, M. R. (1999). Triple P-Positive Parenting Program: Towards an empirically validated multilevel parenting and family support strategy for the prevention of behaviour and emotional problems in children. Clinical Child and Family Psychology Review, 2, 71–89.PubMedCrossRefGoogle Scholar
  58. Sanders, M. R., Turner, K. T., & Markie-Dadds, C. (2002). The development and dissemination of the Triple P—Positive Parenting Program: A multilevel, evidence-based system of parenting and family support. Prevention Science, 3, 173–189.PubMedCrossRefGoogle Scholar
  59. Sanders, M. R., Markie-Dadds, C., & Turner, K. T. (2003). Theoretical, scientific and clinical foundations of the Triple P Positive Parenting Program: A population approach to the promotion of parenting competence. Parenting Research and Practice Monograph, 1, 1–21.Google Scholar
  60. Serketich, W. J., & Dumas, J. E. (1996). The effectiveness of behavioral parent training to modify antisocial behavior in children: A meta-analysis. Behavior Therapy, 27, 171–186.CrossRefGoogle Scholar
  61. Shelton, K. K., Frick, P. J., & Wootton, J. (1996). Assessment of parenting practices in families of elementary school-age children. Journal of Clinical Child Psychology, 25, 317–329.CrossRefGoogle Scholar
  62. Smith, J. A., & Todd, P. E. (2005). Does matching overcome LaLonde’s critique of nonexperimental estimators? Journal of Econometrics, 125, 305–353.CrossRefGoogle Scholar
  63. Spoth, R. L. (2001). Randomized trial of brief family interventions for general populations: Adolescent substance use outcomes 4 years following baseline. Journal of Consulting and Clinical Psychology, 69, 627.PubMedCrossRefGoogle Scholar
  64. Spoth, R. L., Redmond, C., & Shin, C. (2000). Modeling factors influencing enrollment in family-focused preventive intervention research. Prevention Science, 1, 213–225.PubMedCrossRefGoogle Scholar
  65. Spoth, R. L., Kavanagh, K. A., & Dishion, T. J. (2002). Family-centered preventive intervention science: Toward benefits to larger populations of children, youth, and families. Prevention Science, 3, 145–152.PubMedCrossRefGoogle Scholar
  66. St. Pierre, T. L., Osgood, D. W., Mincemoyer, C. C., Kaltreider, D. L., & Kauh, T. J. (2005). Results of an independent evaluation of project ALERT delivered in schools by cooperative extension. Prevention Science, 6, 305–317.PubMedCrossRefGoogle Scholar
  67. Tremblay, R. E., Loeber, R., Gagnon, C., Charlebois, P., Larivée, S., & LeBlanc, M. (1991). Disruptive boys with stable and unstable high fighting behavior patterns during junior elementary school. Journal of Abnormal Child Psychology, 19, 285–300.PubMedCrossRefGoogle Scholar
  68. Vitaro, F., & Tremblay, R. E. (1994). Impact of a prevention program on aggressive children’s friendships and social adjustment. Journal of Abnormal Child Psychology, 22, 457–475.PubMedCrossRefGoogle Scholar
  69. Webster-Stratton, C., & Taylor, T. (2001). Nipping early risk factors in the bud: Preventing substance abuse, delinquency, and violence in adolescence through interventions targeted at young children (0–8 years). Prevention Science, 2, 165–192.PubMedCrossRefGoogle Scholar

Copyright information

© Society for Prevention Research 2012

Authors and Affiliations

  • Manuel Eisner
    • 1
  • Daniel Nagin
    • 2
  • Denis Ribeaud
    • 3
  • Tina Malti
    • 4
  1. 1.Institute of CriminologyUniversity of CambridgeCambridgeUK
  2. 2.Heinz CollegeCarnegie Mellon UniversityPittsburghUSA
  3. 3.Department of SociologySwiss Federal Institute of TechnologyZurichSwitzerland
  4. 4.Department of PsychologyUniversity of TorontoMississaugaCanada

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