Bonjour,
Thanks for for this package.
I’m currently fitting a piecewise SEM to identify the drivers of chlorosis in one of the tree species.My dataset includes both tree-level and plot-level variables , and I have manually standardized all continuous predictors at their respective levels (i.e., plot-level and tree-level) using z-scores prior to model fitting (n=58).
However, after running summay of psem I noticed that standardized coefficients (Std.Estimate) are not returned for some, even though they are numeric and standardized. I’m using lmer() models.
Could this be because the variables are already standardized manually, and the function skips computing std.coef in such cases? Or might there be another reason?
Thanks for your answer in advance!.
Bonjour,
Thanks for for this package.
I’m currently fitting a piecewise SEM to identify the drivers of chlorosis in one of the tree species.My dataset includes both tree-level and plot-level variables , and I have manually standardized all continuous predictors at their respective levels (i.e., plot-level and tree-level) using z-scores prior to model fitting (n=58).
However, after running summay of psem I noticed that standardized coefficients (Std.Estimate) are not returned for some, even though they are numeric and standardized. I’m using lmer() models.
Could this be because the variables are already standardized manually, and the function skips computing std.coef in such cases? Or might there be another reason?
Thanks for your answer in advance!.