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Abstract Details

Activity Number: 317
Type: Invited
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #303723
Title: Multi-Level Data Methods to Detect and Adjust for Nonresponse Bias in Sample Surveys
Author(s): Paul P Biemer*+ and Frauke Kreuter*+ and Tom W Smith*+ and James Wagner*+
Companies: RTI International/The University of North Carolina at Chapel Hill and Joint Program in Survey Methodology and NORC and University of Michigan
Address: 3040 Cornwallis Rd., Research Triangle Park, NC, 27709, 1218 Lefrak Hall, College Park , MD, 20742, USA 1155 East 60th Street, Chicago, IL, , USA G394 Perry, Ann Arbor, MI, 48106,
Keywords: Missing data ; Weighting ; Paradata ; Metadata
Abstract:

The International Workshop on Using Multi-level Data from Sample Frames, Auxiliary Databases, Paradata, and Related Sources to Detect and Adjust for Nonresponse Bias in Surveys was held in June of 2011. It was jointly sponsored by the National Science Foundation, the World Association for Public Opinion Research, and the International Association of Sampling Statisticians. This panel will discuss the recommendations of the workshop and latest developments in methods for the detection of and adjustment for nonresponse bias in surveys.

The following have agreed to participate in the panel: 5 Panelists 1. Paul Biemer, RTI 2. Frauke Kreuter, University of Maryland/Institute for Employment Research 3. Tom W. Smith, NORC/University of Chicago 4. James Wagner, ISR/University of Michigan 5. Andy Peytchev, RTI


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