When doing regressions, if we are testing multiple hypotheses, there are traditional ways to deal with it (e.g. Bonferroni correction etc.)
And if we are also doing variable selection, there are modern ways such as regularisation and LASSO.
In structural equation modelling, we do both. Are there p-value corrections or variable selection procedures in SEM?