Analyzing data using a saturate model
Analyzing data using a saturate model by full-information maximum likelihood. In the saturate model, all means and covariances are free if items are continuous. For ordinal variables, their means are fixed as 0 and their variances are fixed as 1–their covariances and thresholds are estimated. In multiple-group model, all means are variances are separately estimated.
The target data frame
The name of grouping variable
MxModel object which contains the analysis result of the saturate model.
Sunthud Pornprasertmanit (email@example.com)
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