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2 votes
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How to translate hierarchical linear model random effects into SEM path diagram?

From my reading there are two reasons to convert a hlm into a path diagram. For a visual representation of the model that is seen (Curran & Bauer, 2007). My interests were in the estimation of SEM....
Vefeagins's user avatar
  • 518
1 vote

Instrumental variable with measurement error

With classical (i.e., independent and additive) measurement error, the attenuation bias in the first stage and reduced form will cancel each other out. \begin{align*} Y &= \beta X + u &\quad &...
Jonathan's user avatar
  • 603
1 vote

Interpreting Mediation Model Result

[If you format your code, it's much easier to read. I've tried to do this but make sure it makes sense. Also, copy and paste your code from R, don't retype it. Your code had errors that meant it ...
Jeremy Miles's user avatar
  • 18.1k
1 vote
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How to fit random slope hierarchical model as SEM with OpenMx in R?

Following guidence from (Paras & Neale, 2005) this is what the path diagram could look like: I use math notation to align with HLM instead of SEM. Specify the path related to the $j$ level here ...
Vefeagins's user avatar
  • 518
1 vote
Accepted

What does it mean when a CFA model improves drastically by ommiting a factor?

First, it could be that the additional factor in your model was so poorly fit (perhaps because of some nonlinearity present, bimodalism present from confounding categorical variables, etc.), that any ...
Shawn Hemelstrand's user avatar

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