Data Quality Facilitation GS1 Roles Local Data Quality Processes (LDQP)
Data Quality
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Transcript of Data Quality
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Data Quality
Wednesday, Sept 3
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2000 Census
• Short Form
• Long Form (15% sample)
• Changes– Marriage (short to long form)– Race/Ethnicity (wording & order)
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http://www.census.gov/prod/2001pubs/c2kbr01-1.pdf
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Measuring Coverage
• Demographic Analysis– Macro level approach– Comparing aggregate sets of data
• Data independent of the census
• Dual System Estimation (A.C.E.)– Capture/recapture– Based on independent sample survey
• 11,800 block clusters/314,000 housing units
– Provides coverage correction factors• Post-strata & inclusion probabilities=estimate of true
population
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Demographic Analysis (DA)
• Uses balancing equation of population change
P2 = P1 + B – D + I – E
• Age by age, but uses Medicare data for ages 65 and older
Vital registration, adjusted for under-registration
Administrative records
Immigration & Naturalization records
Estimated
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Census 2000 Coverage
• What do DA estimates in Table 2 show?
• What may be responsible? (Fig 1)
• What is error of closure?
• What do results in Table 3 suggest?
• What do results in Table 4 suggest?
• How were findings used to revise the DA analysis? (Tab 5 & Fig 2)
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Census Politics
• Differential undercount– Who gets missed? Why?
• Sampling
• Cost
• Questions asked