Context: two-level data, first-level nested within second-level
Goal:impute the missing values for some continuous variables at first-level
with second-level dummy variables included in imputation model.
Problem:Within the second-level(e.g. group) all the subjects have missing
values for these variables we would like to impute. How could we impute them
without deleting these subjects?
Please share your ideas or experience. Thanks!