Hi,
New to both R and SEM, so this may be a very simple question. I am
trying to run a very simple path analysis using the sem package.
There are 2 exogenous (FARSCH, LOCUS10) and 2 endogenous (T_ATTENT,
RMTEST) observed variables in the model. The idea is that T_ATTENT
mediates the
It's not the correlation as such that is the problem; it's because you
only have 10 degrees of freedom available with four observed
variables, and you are estimating 10 parameters, which is why you get
a chi square of zero. When you remove any one free parameter (such as
the correlation), the
Dear David and Ista,
I haven't looked at this model carefully, but the fact that the df are
0 suggests that the model is just-identified and therefore necessarily
perfectly reproduces the covariances among the observed variables.
Removing a parameter would over-identify the model, making possible