Good morning to everyone,
I am trying to run a SEM with more levels: the fact is that it is very heavy and I would like to reduce variables in the best possible way.
For now, as I have a lot of variables which explain one dimension, I simply try to look at the significance of coefficients and the increase of R2 (in normal regression) contributed by each individual regressor.
I was wondering if there is a more precise/sophisticated methodology (inside or outside SEM) ?

Many thanks in advance for your time,
wishing you all a great weekend ahead!