Modeling the causal relationships between emotional intelligence, cognitive bias and the decision - making for a sample of university students

     The current research aimed to modeling the causal relationships between emotional intelligence, cognitive bias and the decision - making, for a sample of (457) university students from the second and fourth grade at the Faculty of Education,  Helwan University for the academic year 2019-2020 with an average age of (20.64) and a standard deviation of ability (2.14), And the following tools have been applied: the cognitive bias scale by the researcher, the emotional intelligence scale by the researcher, the decision-making scale by the researcher, Path analysis has also been used, and the results of current research have led to a direct impact of emotional intelligence in decision making. As the value of the regression weight (.221), which is a statistically significant value, as well as a direct impact of emotional intelligence on memory biases; As the value of the regression weight reached (-. 103), there is also a statistically significant direct effect of emotional intelligence on judgment biases. As the value of the regression weight was (-. 009), there is also a statistically significant effect of emotional intelligence on interpretation biases. As the value of the slope weight (-. 055), there is also a direct effect of interpretation biases in decision-making; As the value of the regression weight (-. 319), which is a statistically significant value, as well as the presence of an indirect effect of emotional intelligence in decision-making amounted to (.069), which is also statistically significant value, which comes from the direct effect of emotional intelligence in the dimensions of cognitive bias Attention (.001) - Judgment Biases (.009) - Interpretation Biases (.055), which directly influence decision-making, and hence the overall effect of emotional intelligence in decision-making is: Decision-making = Direct Impact (.221) + Indirect Effect (.069) = .29
Then it can be concluded the equation for the path analysis is as follows: decision-making = (.29) emotional intelligence as a whole.