Coverage Measurement in the 2010 Census (2009) / Chapter Skim
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1 Introduction
1 Introduction
Pages 7-14
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From page 7... ...
The programs to measure census coverage error are referred to as cover age measurement programs. In recent years, coverage measurement pro grams included a third objective -- correcting the census for enumeration error, referred to as census adjustment.
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Of course, an important secondary goal of the coverage measurement program still remains, which is to inform census data users about the net coverage error for large geographic areas and demographic groups. The shift in the principal objective of the coverage measurement program from that adopted in 2000 (and in 1990)
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From page 9... ...
The approach was designed for estimating net census coverage errors and did not provide accurate estimates of gross coverage errors, i.e., of gross census omissions separate from gross census erroneous enumerations. In the DSE approach applied in the 1990 and 2000 cen suses, certain census enumerations classified as erroneous were balanced against certain coverage survey cases classified as nonmatches (census
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to effec tively measure the components of coverage error rather than net cov erage error; (2) to improve the determination of duplicate status and the measurement of the rate of census duplication; (3)
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Therefore, the panel was also asked to provide advice on what data should be retained from the 2010 census. During the course of the study, several other issues in connection with the panel's overall task arose: a review of the Census Bureau's draft docu ment providing a framework for defining and estimating components of census coverage error; examination of the possibility of estimating the match status of cases previously categorized as having insufficient information for matching, in order to reduce the number of cases clas sified as erroneous enumerations due to item nonresponse; assessment of the various alternatives that could be used to reduce or address con tamination due to the similarity and simultaneity of the census coverage follow-up interviews and the initial CCM interviews in 2010; the CCM postenumeration survey design.
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From page 12... ...
Thus, a data collection and estimation program that was originally proposed to be used in an aggregate way for estimating net coverage error for large demographic and geographic groups is also very useful for identifying individuals of interest to populate a database to support statistical models predicting census coverage error. The change in objectives also suggests that rather than try to "fix" the census for net undercoverage using sampling-based statistical procedures, it may be preferable to use information on census coverage error to identify deficiencies in the decennial census processes.
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From page 13... ...
Chapter 4 discusses a number of technical topics introduced by the various changes made in coverage measurement for 2010, including: the sample design for the census coverage measurement postenumeration survey in 2010; the use of logistic regression modeling as a substitute for poststratification in modeling net coverage error; how one compares competing models in this situation; and the treatment of missing data in net coverage error modeling, including the Census Bureau's current plans for addressing missing data prior to fitting the logistic regression models in 2010. In relation to the issue of missing data, the chapter includes a description of an attempt by the Census Bureau to greatly reduce the number of cases that are considered to have insufficient information to support matching.
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From page 14... ...
. Appendix B provides additional details on the use of logistic regression models as a substitute for poststratification.
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