Imputation with latent variables

The following three screenshots show

1. a path diagram of a model.
2. an original dataset (before imputation) that contains missing values.
3. a completed dataset (after imputation) that contains filled-in values for scores that were missing in the original dataset, as well as additional columns labeled spatial and verbal that contain estimated values for the latent variables in the model.