JSM 2005 Online Program

Abstract #303535

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	454
Type:	Contributed
Date/Time:	Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Survey Research Methods
Abstract - #303535
Title:	Complex Sample Design Effects Using the Census 2000 A.C.E. Sample and Logistic Regression Modeling
Author(s):	Douglas Olson*+ and Richard Griffin
Companies:	U.S. Census Bureau and U.S. Census Bureau
Address:	FOB #2 Room 2230; Mail Stop 76, Suitland, MD, 20233, United States
Keywords:	goodness-of-fit
Abstract:	As part of the preparation for the 2010 Census, research is being conducted on the Census 2000 Accuracy and Coverage Evaluation (A.C.E.) estimation and sampling to find ways they can be improved. One such avenue is the use of logistic regression modeling to find possible overparameterization in the formation of population groups by including many nonsignificant interactive effects, effectively ignoring high correlation between persons with similar, but not identical, poststratification characteristics. To study the relationship among Census participation rates for different population groups, methods must be developed to measure the significance of their rates under the complex design of the A.C.E. sample. Methods derived from important publications in the field of complex sample design are applied to Census coverage measurement data, with implications for the formation of population groups for study and possible refinements to sample design development.

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