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Activity Number: 626
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #306189
Title: Using Administrative Records to Augment Unit Nonresponse to Facilitate Hot-Deck Imputation
Author(s): Vincent Welch*+ and Fang Wang
Companies: NORC and NORC
Address: 1708 Dempster St., Evanston, IL, 60202, United States
Keywords: Imputation ; Hot-deck ; Administrative records ; Unit nonresponse

When weighting is not an attractive option for treating unit-level nonresponse (UNR), as in a census, the use of administrative data and imputation can improve the quality of a data set. The Survey of Earned Doctorates (SED) is a census of all new research doctorate recipients in the U.S. The SED boasts a 92.3% unit-level response rate. The item response rates are generally well above 90 percent. UNR is augmented with administrative data from the doctorate-granting institution, which brings many key variables to 100% item response. The NSF commissioned an investigation to determine if imputation would be feasible in the SED. We used modeling to determine the strongest relationships among the variables, and serpentine sorting to organize a nearest neighbor hot-deck imputation procedure. We tested the univariate distributions of the pre-and post-imputation data sets and the relationships among the pre- and post-imputation variables. The relationships among the post-imputation data set were not significantly different from the pre-imputation data set. Overall, imputation showed promise in treating UNR when administrative data are used to augment self-reported data.

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