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1

This is not a problem. You allow the means to vary between the groups.


1

This post is old, but I thought I'd link the question I posted with the solution. It provides a description on how OpenMx can be used for fitting multilevel SEM.


2

Yes, for example see this 3 level growth curve model.


0

They are regression coefficients. If you have no missing data, you can reproduce almost all of those results with two regression analyses, or one multivariate regression.


2

Assuming $(\mathbf{I} - \mathbf{B})$ is invertible, we can rewrite the $\boldsymbol{\eta}$ equation as follows: $$ \begin{align} \boldsymbol{\eta} &= \boldsymbol{\alpha}+\mathbf{B}\boldsymbol{\eta}+\boldsymbol{\zeta} \\ &\Updownarrow \\ \boldsymbol{\eta} - \mathbf{B}\boldsymbol{\eta} &= \boldsymbol{\alpha}+\boldsymbol{\zeta} \\ &\Updownarrow ...


1

You don't have enough information fit a single factor model when you only have two measured variables. I think of it like this. This model: mod_pain = "pain =~ SF36_7 + SF36_8" Wants to estimate two parameters. A loading for each of the measured variables. How much information are you giving it to do that with? One covariance. So you have 1 (covariance) -...


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