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Activity Number: 36
Type: Contributed
Date/Time: Sunday, August 6, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #305729
Title: Adjusting for Nonignorable Missing Data with Nonignorable Sampling Design in Longitudinal Sample Survey
Author(s): Moh Yin Chang*+
Companies: University of Nebraska-Lincoln
Address: Gallup Research Center, Lincoln, NE, 68588-0241,
Keywords: nonignorable missing data ; informative missingness ; sampling weights ; sampling design ; longitudinal data ; survey
Abstract:

Current nonignorable missing data literature has overlooked the issue of complex sampling schemes in longitudinal sample surveys. Considering missing data and sampling designs concurrently has important practical implications. In this study, I will extend current models for nonignorable missing data to incorporate the informative sampling design in longitudinal survey analysis. Empirical and simulation studies will be performed to compare the results of these estimations.

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