Assessing Aggressive Behavior in Children
Abstract
Abstract. It is hypothesized that marginal behavioral deviations, through their aggregation, may generate impressions of discomfort and disturbance, leading in their turn to progressive social seclusion, lower self-esteem, and maladjustment. The article describes an attempt to assess the development of a stable aggressive behavior, by means of a neuro-fuzzy model of the relationships between sociometric predictors (popularity/refusal rates among peers, hyperactivity, prosocial behavior) and yearly variations in physical and verbal aggressive conduct in children. A hardly noticeable initial difference (classification into marginally aggressive and marginally nonaggressive) is sufficient to lead to relevant differences, such as a resilience to change the judged aggressive level in the presence of changes of sociometric predictors for marginally aggressive children only.
References
Bushman, B.J. Baumeister, R.F. (1998). Threatened egotism, narcissism, self-esteem, and direct and displaced aggression: Does self-hate or self-love lead to violence?. Journal of Personality and Social Psychology, 75, 219– 229Caprara, G.V. (1993). Marginal deviations, aggregated effects, disruption of continuity, and deviation amplifying mechanisms. In P.J. Hettema & I.J. Deary (Eds.), Foundations of personality (pp. 227-244). Dordrecht: KluwerCaprara, G.V. Pastorelli, C. (1993). Early emotional instability, prosocial behavior and aggression: Some methodological aspects. European Journal of Personality, 7, 19– 36Caprara, G.V. Pastorelli, C. Weiner, B. (1994). At-risk children's causal inferences given emotional feedback and their understanding of the excuse-giving process. European Journal of Personality, 8, 31– 43Caprara, G.V. Zimbardo, P.G. (1996). Aggregation and amplification of marginal deviations in the social construction of personality and maladjustment. European Journal of Personality, 10, 79– 110Chiu, S. (1994). Fuzzy model identification based on cluster estimation. Journal of Intelligent & Fuzzy Systems, 2, 128– 134Crocker, J. Luthanen, R. (1990). Collective self-esteem and ingroup bias. Journal of Personality and Social Psychology, 58, 60– 67Deater-Deckard, K. Dodge, K.A. Bates, J.E. Pettit, G.S. (1998). Multiple-risk factors in the development of externalizing behavior problems: Group and individual differences. Development and Psychopathology, 10, 469– 493Dodge, K.A. (1980). Social cognition and children's aggressive behavior. Child Development, 51, 162– 170Dodge, K.A. (2000). Conduct disorder. In A. Sameroff, M. Lewis, & S. Miller (Eds.), Handbook of developmental psychopathology (2nd ed., pp. 447-463). New York: PlenumDubois, D. Prade, H. (1980). Fuzzy sets and systems: Theory and applications . New York: Academic PressFéraud, R. Clérot, F. (2002). A methodology to explain neural network classification. Neural Networks, 15, 237– 246Geen, R.G. (1998). Aggression and antisocial behavior. In D.T. Gilbert, S.T. Fiske & G. Lindzey (Eds.), Handbook of social psychology (Vol. 2, 4th ed., pp. 317-356). Boston: McGraw-HillHildebrand, F.B. (1968). Finite-difference equations and simulations . (pp. 126-128). Englewood Cliffs, NJ: Prentice-HallJang, J.S.R. (1991). Fuzzy modeling using generalized neural networks and Kalman filter algorithm. Proceedings of the Ninth National Conference on Artificial Intelligence, 762– 767Kecman, V. (2001). Learning and soft computing. Support vector machines, neural networks, and fuzzy models . (pp. 365-404). Cambridge, MA: MIT PressKeppel, G. (1982). Design and analysis. A researcher's handbook . (pp. 146-151). Englewood Cliffs, NJ: Prentice-HallKirkpatrick, L.A. Waugh, C.E. Valencia, A. Webster, G.D. (2002). The functional domain specificity of self-esteem and the differential prediction of aggression. Journal of Personality and Social Psychology, 82, 756– 767Kukolj, D. (2002). Design of adaptive Takagi-Sugeno-Kang fuzzy models. Applied Soft Computing, 2, 89– 103Leary, M.R. Tambor, E.S. Terdal, S.K. Downs, D.L. (1995). Self-esteem as an interpersonal monitor: The sociometer hypothesis. Journal of Personality and Social Psychology, 68, 518– 530Mosler, H.J. Schwarz, K. Ammann, F. Gutscher, H. (2001). Computer simulation as a method of further developing a theory: Simulating the elaboration likelihood model. Personality and Social Psychology Review, 5, 201– 215Rumelhart, D.E. Hinton, G.E. Williams, R.J. (1986). Learning representations by back-propagating errors. Nature, 323, 533– 536Sugeno, M. (1985). Industrial applications of fuzzy control . New York: ElsevierTerano, T. Asai, K. Sugeno, M. (1994). Applied fuzzy systems . Cambridge, MA: Academic Press