ABSTRACT
Multiple imputation of multilevel data is one of the hot spots in statistical technology. Imputers and analysts now have a bewildering array of options for imputing missing values in multilevel data. This chapter summarizes the state of the art, and formulates advice and guidelines for practical application of multilevel imputation.
