Data Quality

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Data Quality Wednesday, Sept 3

description

Data Quality. Wednesday, Sept 3. 2000 Census. Short Form Long Form (15% sample) Changes Marriage (short to long form) Race/Ethnicity (wording & order). http://www.census.gov/prod/2001pubs/c2kbr01-1.pdf. Measuring Coverage. Demographic Analysis Macro level approach - PowerPoint PPT Presentation

Transcript of Data Quality

Page 1: Data Quality

Data Quality

Wednesday, Sept 3

Page 2: Data Quality

2000 Census

• Short Form

• Long Form (15% sample)

• Changes– Marriage (short to long form)– Race/Ethnicity (wording & order)

Page 3: Data Quality

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)

Page 7: Data Quality

Census Politics

• Differential undercount– Who gets missed? Why?

• Sampling

• Cost

• Questions asked


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