Data quality, concepts and methodology

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  1. Objectives, uses and users
  2. Concepts, variables and classifications
  3. Coverage and frames
  4. Sampling
  5. Questionnaire design
  6. Response and non-response
  7. Data collection and capture operations
  8. Editing
  9. Imputation
  10. Estimation
  11. Seasonal adjustment and trend-cycle estimation
  12. Data quality evaluation
  13. Disclosure control
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