Refining social-information processing theory: Predicting maternal and paternal parent-child aggression risk longitudinally.

Child Abuse & Neglect
Christina M RodriguezPaul J Silvia

Abstract

Clarifying the pathways leading parents to engage in parent-child aggression (PCA) would benefit child abuse prevention efforts during the perinatal period. The present investigation empirically tested whether a social information processing (SIP) model could predict PCA risk from factors assessed in new mothers and fathers. This study recruited a diverse sample of 201 primiparous mothers in the last trimester of their pregnancy along with 151 fathers. Using a prospective longitudinal study, the hypothesized SIP model was refined statistically using SIP factors measured prenatally to predict PCA risk when their children were 18 months. This refined model was then validated with SIP factors assessed when infants were 6 months to predict PCA risk when toddlers were 18 months. In general, findings indicated poor empathy related to greater overreactivity and more negative child behavior attributions. Moreover, approval of PCA use, negative child attributions, less knowledge of non-physical discipline alternatives, and higher child compliance expectations predicted subsequent PCA risk. The proposed SIP model for mothers demonstrated considerable stability. Although SIP processes predicted paternal risk, several SIP relations changed...Continue Reading

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