Efficacy of the Social Information Processing Model in Predicting Behavioral Disorders

Background: The social information processing model is one of the most upto-date cognitive models in the field of interpersonal interactions. This socialinteraction-based model can be successfully used to investigate the reasons foremotional and behavioral problems and prevent them in children andadolescents.Objectives: The present study was conducted to investigate the efficacy of thesocial information processing model in predicting behavioral disorders inchildren.Materials and Methods: The present study used a descriptive correlationalregression analysis. The study sample comprised 100 primary school studentsselected from different districts in Isfahan, Iran (2015-2016), using randommultistage cluster sampling. Data collection tools included the Achenbach childbehavior checklist and social stories by Bryan and Turcasia. The stepwisemultivariate regression was used to analyze the data. SPSS software version 18was also used for statistical analysis of the study.Results: The results indicated that the social information processing model cansignificantly predict behavioral disorders (p≤0.0001). In other words,behavioral disorders were more prevalent in the students with lower socialinformation scores.Conclusion: The social information processing model was found to predictchild behavioral disorders.

Keywords:

Child Behavior Disorders , Cognition , Social Behavior