SEM - Longitudinal data -> Obtaining the overall effect of X on Y

[fazzmo]

Hello,

I recently learned that I can use transition models to measure longitudinal effects in SEM.
In this case I have one independent variable (Ease) having an effect on my dependent variable (Rate).



I would like to assess the overall effect of x (Ease) on my dependent variable y (Rate) across all years to be able to conclude that e.g. Ease has a positive or negative effect on Rate. Is there a way for me to find this composite effect, or is it simply the regression weight of the last arrow going from x to way in the last year, as it takes all the previous years into account?

Thank you so much for your help.