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Using SEM for regression to take advantage of MLMV, all models appear to be saturated?
Using SEM for regression to take advantage of MLMV, all models appear to be saturated?

I am using SEM to run some multiple regressions to take advantage of MLMV/FIML. All of my models have this line at the bottom:
LR test of model vs. saturated: chi2(0) = 0.00, Prob > chi2 = .

I noticed in online examples (slides done by Chuck Huber; http://www.cair.org/wp-content/uploa...EMWorkshop.pdf) and in the user guide, that when just a regression was run under SEM this same message indicating a saturated model also appeared. Is this meaningful, or does it just appear because I am using SEM to do a simple regression (only one dependent variable, no measurement component)?

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Using SEM for regression to take advantage of MLMV, all models appear to be saturated?

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Home / Data Cleaning / Data management / Data Processing / Using SEM for regression to take advantage of MLMV, all models appear to be saturated? Using SEM for regression to take advantage of MLMV, all models appear to be saturated?

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