lavaan

Is there any way to predict (in a regression sense) values for my dependent variables given values of

I am attempting to run this model using lavaan Try using sem() instead, which automatically adds the

Try the :::fsr function. See the articles that discuss this approach, which explain the variance/

Could any one tell me how can i check path model invariance for two groups in lavaan? Invariance of

What do you mean precisely when you say "The model with 2 df omits 2 paths on the mediator.

Two things: 1. Standardization and interaction do not go together. IF A and B are normal, then

how can I define just ONE of the regressions in my SEM model (indeed is a path analyses, no LV's)

There sure is. The inspect() function allows you to pull information from a simResult object (created

What is your thought? That whether your model is empirically identified is a matter of a coin toss.

I don't think the relatively low TLI value is your main concern. My recommendation would be to

Does it make sense to examine RMSEA for this model? I tend to ignore RMSEA for models with small df,

Is there some potential way to view (and preferably extract as a data frame or matrix or something

Your IVs can only explain Level 2 variance (ie, differences in cluster means of the mediator), so you

you can specify a saturated level by adding all variances and covariances of the endogenous variables

Yes, they are the same. On Wed, Sep 5, 2018 at 1:41 PM Andrés D <andresd...@gmail.com>

1. Is it possible to create a path analysis model with this small sample? Anything is possible, but