Structural Equation Modeling of the Effect of Emotional Processing on Solving Social Problems Based on the Role of Self-balance Mediator

Explaining the effect of cognitive ability on the social problem-solving skills through Structural Equation Modelling (SEM) with the mediating role of self-balance was the overarching goal of this study. The participants of study were 308 persons (188 female and 114 male). The participants were selected using the convenience sampling technique from the aircrew of Iran Air who were tested thereafter. To collect data, the following four questionnaires were used: Hardin’s Integrated Self-Discrepancy Index (ISDI), Social Problem Solving Inventory-revised short-form by D’Zurilla, and Nezu, and Baker’s Emotional Processing Scale. The results show that all the components of emotional processing with the components of adaptive problem solving are negatively correlated with the components of non-adaptive problem solving and are positively correlated with the significance level of 0.01. Also, the quadruple components of self- balance are correlated positively and correlated positively with the components of non-adaptive problem solving components negatively and at a significant level of 0.01. The use of confirmatory factor analysis using AMOS 18.0 and Maximum Likelihood Estimation (ML) showed that the measurement model was fitted with the collected data as desirable and all the indicators of the measurement model had the power to measure the variables. The structural model like the measurement model is fitted with the collected data. According to the results of this research, Training and upgrading cognitive ability lead to improvement of the problem-solving skills of flight operations personnel.