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Moderating effects of family environment on the association between children's aggressive beliefs and their aggression trajectories from childhood to adolescence

Published online by Cambridge University Press:  15 January 2009

Jasmina Burdzovic Andreas*
Affiliation:
Brown University
Malcolm W. Watson
Affiliation:
Brandeis University
*
Address correspondence and reprint requests to: Jasmina Burdzovic Andreas, Warren Alpert Medical School, Department of Community Health, Center for Population Health and Clinical Epidemiology, Brown University, 121 S. Main Street, Providence, RI 02912; E-mail: [email protected].

Abstract

This study explored how children's aggressive beliefs and their family environments combine to influence the development of child aggression from middle childhood into adolescence. We utilized a “variable-centered” empirical approach, specifically examining whether children's aggressive beliefs represent a risk factor for their aggressive behaviors and whether this risk can be moderated by children's family environment. These questions were tested with individual growth modeling, using the data from a community-representative sample of 440 mother–child dyads, interviewed four times over a 6-year study period. The accelerated longitudinal design of the study enabled examination of children's aggression trajectories from age 7 to age 19. The results supported the hypothesis that elevated aggressive beliefs in children represent a risk factor for aggression, as higher aggressive beliefs were associated with greater aggression at the youngest age, as well as with increased aggression over time. However, as hypothesized, family environment moderated this association, such that changes in children's aggression over time were contingent upon the interaction of their aggressive beliefs with family environment. Specifically, aggression was reduced in children with high aggressive beliefs if they experienced better than average family environment, which included less family conflict and more family cohesion.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2009

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References

Achenbach, T. M. (1991). Manual for the Child Behavior Checklist/4–16 and 1991 profile. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Brookmeyer, K. A., Henrich, C. C., & Schwab-Stone, M. (2005). Adolescents who witness community violence: Can parent support and prosocial cognitions protect them from community violence? Child Development, 76, 917929.Google Scholar
Bryk, A. S., & Raudenbush, S. W. (2002). Hierarchical linear models: Applications and data analysis (2nd Ed.). Newbury Park, CA: Sage.Google Scholar
Campbell, S. B., Shaw, D. S., & Gilliom, M. (2000). Early externalizing behavior problems: Toddlers and preschoolers at risk for later maladjustment. Development and Psychopathology, 12, 467488.Google Scholar
Compas, B. E., Hinden, B. R., & Gerhardt, C. A. (1995). Adolescent development: Pathways and processes of risk and resilience. Annual Review of Psychology, 46, 265293.Google Scholar
Cowen, E. L., Wyman, P. A., Work, W. C., Kim, J. Y., Fagen, D. B., & Magnus, K. B. (1997). Follow-up study of young stress-affected and stress-resilient urban children. Development and Psychopathology, 9, 565577.Google Scholar
Crick, N. R., & Dodge, K. A. (1994). A review and reformulation of social information-processing mechanisms in children's social adjustment. Psychological Bulletin, 115, 74101.Google Scholar
Curran, P. J., Bauer, D. J., & Willoughby, M. T. (2006). Testing and probing interactions in hierarchical linear growth models. In Bergeman, C. S. & Boker, S. M. (Eds.), The Notre Dame series on quantitative methodology: Vol. 1. Methodological issues in aging research (pp. 99129). Mahwah, NJ: Erlbaum.Google Scholar
Dodge, K. A., Laird, R., Lochman, J. E., Zelli, A., & Conduct Problems Prevention Research Group. (2002). Multidimensional latent-construct analysis of children's social information processing patterns: Correlations with aggressive behavior problems. Psychological Assessment, 14, 6073.CrossRefGoogle Scholar
Dodge, K. A., Lochman, J. E., Harnish, J. D., Bates, J. E., & Pettit, G. S. (1997). Reactive and proactive aggression in school children and psychiatrically impaired chronically assaultive youth. Journal of Abnormal Psychology, 106, 3751.CrossRefGoogle ScholarPubMed
Dodge, K. A., Pettit, G. S., Bates, J. E., & Valente, E. (1996). Social-information processing patterns partially mediate the effect of early physical abuse on later conduct problems. Journal of Abnormal Psychology, 104, 632643.Google Scholar
Florsheim, P., Tolan, P., & Gorman-Smith, D. (1998). Family relations, parenting practices, the availability of male family members, and the behavior of inner-city boys in single-mother and two-parent families. Child Development, 69, 14371447.CrossRefGoogle Scholar
Gorman-Smith, D., Henry, D. B., & Tolan, P. H. (2004). Exposure to community violence and violence perpetration: The protective effects of family functioning. Journal of Clinical Child and Adolescent Psychology, 33, 439449.CrossRefGoogle ScholarPubMed
Gorman-Smith, D., & Tolan, P. H. (1998). The role of exposure to community violence and developmental problems among inner-city youth. Development and Psychopathology, 10, 101116.Google Scholar
Gorman-Smith, D., Tolan, P. H., Henry, D. B., & Florsheim, P. (2000). Patterns of family functioning and adolescent outcomes among urban African American and Mexican American families. Journal of Family Psychology, 14, 436457.Google Scholar
Gutman, L. M., Sameroff, A. J., & Cole, R. (2003). Academic growth curve trajectories from 1st to 12th grade: Effects of multiple social risk factors and preschool child factors. Developmental Psychology, 39, 777790.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, 408419.Google Scholar
Jessor, R., Van Den Bos, J., Vanderryn, J., Costa, F. M., & Turbin, M. S. (1995). Protective factors in adolescent problem behavior: Moderator effects and developmental change. Developmental Psychology, 31, 923933.Google Scholar
Johnson, V. K. (2003). Linking changes in whole family functioning and children's externalizing behavior across the elementary school years. Journal of Family Psychology, 17, 499509.Google Scholar
Kerig, P. K. (1995). Triangles in the family circle: Effects of family structure on marriage, parenting, and child adjustment. Journal of Family Psychology, 9, 2843.CrossRefGoogle Scholar
Lansford, J. E., Malone, P. S., Stevens, K. I., Dodge, K. A., Bates, J. E., & Pettit, G. S. (2006). Developmental trajectories of internalizing and externalizing behaviors: Factors underlying resilience in physically abused children. Development and Psychopathology, 18, 3555.CrossRefGoogle ScholarPubMed
Lindahl, K. (1998). Family process variables and children's disruptive behavior problems. Journal of Family Psychology, 2, 420436.CrossRefGoogle 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, 366374.Google Scholar
Lochman, J. E., & Wells, K. C. (2002). Contextual social–cognitive mediators and child outcome: A test of the theoretical model in the Coping Power Program. Development and Psychopathology, 14, 945967.Google Scholar
Marcus, N. E., Lindahl, K. M., & Malik, N. M. (2001). Interparental conflict, children's social cognitions, and child aggression: A test of the mediational model. Journal of Family Psychology, 15, 315333.Google Scholar
Masten, A. S., Hubbard, J. J., Gest, S. D., Tellegan, A., Garmezy, N., & Ramirez, M. (1999). Competence in the context of adversity: Pathways to resilience and maladaptation from childhood to late adolescence. Development and Psychopathology, 11, 143169.CrossRefGoogle ScholarPubMed
Masten, A. S., & Shaffer, A. (2006). How families matter in child development: Reflections from research on risk and resilience. In Clarke-Stewart, A. & Dunn, J. (Eds.), Families count: Effects on child and adolescent development (pp. 525). New York: Cambridge University Press.Google Scholar
Milan, S., & Pinderhughes, E. E. (2006). Family instability and child maladjustment trajectories during elementary school. Journal of Abnormal Child Psychology, 34, 4356.CrossRefGoogle ScholarPubMed
Moos, R. H., & Moos, B. S. (1986). Family Environment Scale: Manual. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437448.Google Scholar
Prevatt, F. F. (2003). The contribution of parenting practices in a risk and resiliency model of children's adjustment. British Journal of Developmental Psychology, 21, 469480.CrossRefGoogle Scholar
Raudenbush, S. W., & Chan, W. (1993). Application of a hierarchical linear model to the study of adolescent deviance in an overlapping cohort design. Journal of Consulting and Clinical Psychology, 61, 941951.Google Scholar
Richters, J. E., & Martinez, P. E. (1993). Violent communities, family choices, and children's chances: An algorithm for improving the odds. Development and Psychopathology, 5, 609627.Google Scholar
Schwartz, D., Dodge, K. A., Coie, J. D., Hubbard, J. A., Cillessen, A. H., Lemerise, E. A., et al. , (1998). Social–cognitive and behavioral correlates of aggression and victimization in boys' play groups. Journal of Abnormal Child Psychology, 26, 431440.CrossRefGoogle ScholarPubMed
Singer, J. D. (1998). Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics, 24, 323355.Google Scholar
Singer, J. D., & Willet, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York: Oxford University Press.Google Scholar
Slaby, R. G., & Guerra, N. G. (1988). Cognitive mediators of aggression in adolescent offenders: 1. Assessment. Developmental Psychology, 24, 580588.CrossRefGoogle Scholar
Stouthamer-Loeber, M., Loeber, R., Wei, E., Farrington, D. P., & Wikstrom, P. H. (2002). Risk and promotive effects in the explanation of persistent serious delinquency in boys. Journal of Consulting and Clinical Psychology, 70, 111123.Google Scholar
Tolan, P., Gorman-Smith, D., & Henry, D. (2004). Supporting families in a high-risk setting: Proximal effects of the SAFE children preventive intervention. Journal of Consulting and Clinical Psychology, 72, 855869.CrossRefGoogle Scholar
Tremblay, R. E. (2003). Why socialization fails: The case of chronic physical aggression. In Lahey, B. B., Moffit, T. M., & Caspi, A. (Eds.), Causes of conduct disorder and juvenile delinquency (pp. 182224). New York: Guilford Press.Google Scholar
Tremblay, R. E., Kurtz, L., Masse, L. C., Vitaro, F., & Phil, R. O. (1995). A bimodal preventive intervention for disruptive kindergarten boys: Its impact through adolescence. Journal of Consulting and Clinical Psychology, 63, 560568.Google Scholar
Willet, J. B., Singer, J. D., & Martin, N. C. (1998). The design and analysis of longitudinal studies of development and psychopathology in context: Statistical models and methodological recommendations. Development and Psychopathology, 10, 395–342.Google Scholar
Yoshikawa, H. (1994). Prevention as a cumulative protection: Effects of early family support and education on chronic delinquency and its risks. Psychological Bulletin, 115, 2854.Google Scholar
Zelli, A., Dodge, K. A., Lochman, J. E., Laird, R. D., & Conduct Problems Prevention Research Group. (1999). The distinction between beliefs legitimizing aggression and deviant processing of social cues: Testing measurement validity and the hypothesis that biased processing mediates the effects of beliefs on aggression. Journal of Personality and Social Psychology, 77, 150166.Google Scholar