JSM 2005 - Toronto

Abstract #304170

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 182
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Government Statistics
Abstract - #304170
Title: Monitoring Data Quality at a Federal Agency
Author(s): Susan Lapham*+
Companies: Education Statistics Services Institute
Address: 1990 K St NW suite 500, Washington, DC, 20006, United States
Keywords: response rate ; imputation ; nonresponse
Abstract:

This paper reports on NCES efforts to track response rates and the imputation methods used to replace missing data. We present values for unit, item, overall, and total response rates for all components of selected NCES surveys. Preliminary findings suggest universe surveys typically obtain overall response rates between 90% and 100%, while a quarter of cross-sectional sample surveys and one-fifth of longitudinal surveys attain such rates. About a third of components in second and third levels of cross-sectional sample surveys attain a unit response rate between 90% 100%. In longitudinal surveys, unit response rates vary noticeably between waves. The imputation report describes the different imputation methods used across NCES surveys. We introduce backgrounds and sample designs for two recent surveys and use them as examples to demonstrate step-by-step how specific item nonresponse cases were treated. The first example describes a relatively simple imputation method, while the second demonstrates a more complicated situation.

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