Missing data is a common problem in virtually all surveys. The most frequently used method to compensate for item nonresponse in NCES survey is imputation. A number of procedures have been developed to handle variance estimation of imputed survey data. This research focuses on variance estimation and its consequences for analysts of NCES survey data.
