Hi Adrián Segura Robles ,

the Critical Ratio value simply describes the statistics formed by dividing an estimate by its standard error. With a sufficient sample size, the critical ratio resembles a normal distribution. In that case, a value of 1.96 indicates two-sided significance at the "standard" 5% level. Simply put, when the critical ratio (CR) is > 1.96 for a regression weight, that path is significant at the .05 level or better (that is, the estimated path parameter is significant). If you'd like to read up on the subject, I am sure that you will find some pointers in Hair's book "Multivariate Data Analysis" or the related Structural Equation literature.

Hope this helps!

Alexander

Thanks!