The Elementary Effects 11,12 (EE) method is a screening method in sensitivity analysis. This method evaluates sensitivity measures in a qualitative way, indicating the most influential parameters (or factors) of a computational model. The EE main advantage is that the method is not computationally expensive, allowing to estimate sensitivity measures for computationally intensive models with good accuracy even when compared to variance-based methods 11 .