JSM 2005 - Toronto

Abstract #304663

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 453
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #304663
Title: Application of Jackknife Replication Method to Two-stage Sample Data with a Large Number of Certainty PSUs
Author(s): Donsig Jang*+
Companies: Mathematica Policy Research, Inc.
Address: 600 Maryland Ave, Washington, DC, 20024, United States
Keywords: jackknife method ; national survey of recent college graduates ; certainty PSU
Abstract:

Taylor series linearization (TS) method and replication methods have been two predominant methods for variance estimation for complex survey data. While TS method presumably can provide variance estimation procedures for most complex sample data, its derivation often is tedious and its implementation is hardly obvious. Moreover, with the existence of missing data, the derivation of TS method is challenging, if not impossible. On the other hand, a replication method can capture variation not only for sampling, but for postdata collection adjustment procedures such as nonresponse adjustment and poststratification. However, a generation of pseudo-sample based on a specific replication method is not always obvious. The given sample design often needs to be assumed as a certain sample design for which a replication method can be implemented. In this paper, we investigate how sensitive the choice of replicate assignments is for variance estimation.

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