Volume 48 of this journal has presented a series of studies evaluating clinical test measurement models. Two of these investigations reported through exploratory factor analysis (EFA) the number of factors extracted to examine the structure of the test which consists of variables associated with the same factor, the common underlying trait of which allows correlation between such variables. The EFA methodology is linked to the area of psychometrics that has driven the evaluation of latent variable models (not directly measurable), this has led to the development of new statistical models which are more robust such as the analysis of structural equations. This method is based on route analysis and multiple regression, which refers to a structural model that includes several relationships and effects between a set of variables to evaluate multiple clinical hypotheses beyond factorial analysis.