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Currently Skimming:

1 Introduction and Overview
Pages 15-32

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From page 15...
... House of Representatives, but also such purposes as redrawing legislative clistrict boundaries, allocating fecleral ant! state program funds, planning and evaluating government programs, informing private- and public-sector decisions, ant!
From page 16...
... Features the panel may review include the Master Address File, follow-up for nonresponse, race and ethnicity classifications, mail return rates, quality of long-form data, and other areas. We conducted a variety of activities to carry out our charge: making observation visits to census offices during 2000; convening three open workshops on issues of coverage evaluation ant!
From page 17...
... One is general census operations, which progress from the clevelopment of an aciciress list through the completion of census evaluations. The second is coverage evaluation attempts to assess unclercount or overcount in the census ant!
From page 18...
... in experiments ant! evaluations by the Census Bureau of 2000 census operations ant!
From page 19...
... to an incorrect location (geococling error) ; another type of gross error is cluplicate census enumerations.
From page 20...
... Nonetheless, gross coverage errors are important to examine because they may indicate problems that are not obvious from a measure of net error. For example, net coverage error could be zero for the total population, but large errors of omission conic!
From page 21...
... Some error is also introclucec! often unintentionally by members of the massive corps of temporary census field!
From page 22...
... After-the-fact process evaluations cannot assess data quality directly, but they can help answer such questions as whether a procedure may have introclucec! a systematic bias in an estimate (e.g., a systematic overestimate or unclerestimate of people who reporter!
From page 23...
... For example, the initial measure of duplicates ant! other erroneous enumerations from the Census Bureau's 2000 Accuracy ant!
From page 24...
... 2000 census procedures complicate the task of comparative evaluation, as do differences in survey procedures from census procedures. Comparisons of Estimates With Other Sources Comparison of specific estimates from the census with the same estimates from other sources is another important form of data quality evaluation.
From page 25...
... Explaining Data Quality Strengths and Weaknesses An assessment of census data quality is important not only for ciata users but also for the Census Bureau to help plan future censuses. For this purpose, it is important to conduct analyses to cletermine one or more unclerlying explanations for quality successes ant!
From page 26...
... the Census Bureau's two major evaluation programs for 2000 (one on coverage, the other on census processes ant! content)
From page 27...
... Finding 1.3: Although significant differences in methocls for estimating net unclercount in the 1990 PostEnumeration Survey ant! the most recent revision of the 2000 Accuracy and Coverage Evaluation Program make it clifficult to compare net unclercount estimates, there is sufficient evidence to conclude that the 2000 census was successful in reducing the differences in national net unclercount rates between historically less-well-countec!
From page 28...
... not to adjust the census ciata. Finding 1.5: In March 2001, October 2001, and March 2003, the Census Bureau announced that it wouIcl not adjust the 2000 census results for incomplete coverage of some population groups (anc!
From page 29...
... : first, on the need to examine components of gross error, as well as net coverage error; second, on the neec! for adequate time to evaluate the completeness of population coverage ant!
From page 30...
... Finding 1.10: Uncler tight time constraints, the Census Bureau's coverage evaluation technical staff conducted comprehensive and insightful research of high quality on the completeness of coverage in the 2000 census. Their results for the A.C.E.
From page 31...
... the quality of the basic demographic data. The census also experiences!


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