Psychometric Evaluation of a Brief Assessment of Parents' Disciplinary Alternatives

Applying Socio-Emotional Information Processing theory to explain child abuse risk: Emerging patterns from the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic exerted profound effects on parents, which may translate into elevated child abuse risk. Prior literature demonstrates that Social Information Processing theory is a useful framework for understanding the cognitive processes that can contribute to parental abuse risk, but the model has not adequately integrated affective processes that may coincide with such cognitions.

OBJECTIVE

Given parents experienced intense emotions during the pandemic, the current study sought to examine how socio-emotional processes might account for abuse risk during the pandemic (perceived pandemic-related increases in harsh parenting, reported physical and psychological aggression, and child abuse potential).

PARTICIPANTS AND METHODS

Using two groups of mothers participating in online studies, the combined sample of 304 mothers reported on their abuse risk and cognitive and anger processes.

RESULTS

Greater approval of physical discipline and weaker anger regulation abilities were directly or indirectly related to measures of abuse risk during the pandemic, with maternal justification to use parent-child aggression to ensure obedience consistently relating to all indicators of abuse risk during the pandemic.

CONCLUSIONS

Socio-emotional processes that include anger appear particularly relevant during the heightened period of strain induced by the pandemic. By studying multiple factors simultaneously, the current findings can inform child abuse prevention efforts.

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

BACKGROUND

Clarifying the pathways leading parents to engage in parent-child aggression (PCA) would benefit child abuse prevention efforts during the perinatal period.

OBJECTIVE

The present investigation empirically tested whether a social information processing (SIP) model could predict PCA risk from factors assessed in new mothers and fathers.

PARTICIPANTS AND SETTING

This study recruited a diverse sample of 201 primiparous mothers in the last trimester of their pregnancy along with 151 fathers.

METHODS

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.

RESULTS

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 over time for fathers.

CONCLUSIONS

Findings suggest comprehensive theoretical models like SIP theory can guide the specific processes to target for prevention and clarify how processes may be interconnected. SIP processes appear relevant and relatively stable targets for prevention and early intervention, particularly for mothers. SIP processes were applicable for fathers although the model was less consistent, suggesting work in examining paternal PCA risk remains an important research direction.