Imputation with latent variables
The following three screenshots show
- a path diagram of a model.
- an original dataset (before imputation) that contains missing values.
- 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.