We keep receiving the warning WARNING: THE LATENT VARIABLE COVARIANCE MATRIX (PSI) IS NOT POSITIVE DEFINITE.
We examined tech4 and read that this could be due to a small sample size (n = 60) or due to skewed data (data after shelter stay or Slope 2 (highlighted error), is skewed). Any help would be appreciated.
I tried your suggestions; however, we still receive the same warning message. Any additional suggestions? Also, what does it mean that we have two correlations greater than 1? What could this be a result of?
Also, I read in a previous post that this error may be due to a "preponderance of zeros"; which starting at our post-treatment time point we have quiet a few zeros (8 at post treatment, 16 at 3 months post treatment, and 12 at 6 months post treatment). If this is the issue, what can we do about this?
Latent correlations greater than 1 may be due to channeling too much of the observed variable correlations through the latent variables instead of directly, or due to specifying too many latent variables. You can try to add correlations among the residuals of the outcomes, or delete one of the latent variables.
Preponderance of zeros is when you have a large percentage of zeros - say at least 20%.