572 – Working with Imperfect Data
Comparison of Alternative Imputation Methods in the National Teacher and Principal Survey
Sarah Dial
Jacob Enriquez
U.S. Census Bureau
Bonnie Moore
U.S. Census Bureau
Svetlana Mosina
U.S. Census Bureau
The Schools and Staffing Survey (SASS) is undergoing a redesign and will be called the National Teacher and Principal Survey (NTPS) during its next administration, to be conducted during the 2015-16 school year. As part of this redesign, it is of interest to determine if multiple imputation methods or administrative records could replace or supplement the current hot deck imputation procedure. One research objective is to determine if the coverage and quality of the administrative records is sufficient to use as an alternative imputation source. The other objective is to explore additional suitable imputation techniques with and without using administrative records. This paper will discuss the direct assignment imputation method, in which administrative records will be used to assign values to missing data for the matching SASS record. Other imputation methods that will be explored include predictive mean matching imputation and propensity score imputation. To evaluate the proposed imputation methods we will look at several metrics that examine the bias of the predictive, distributional, and estimation accuracy of each of the methods.