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Commission Implementing Regulation (EU) 2019/2180 of 16 December 2019 specifying the detailed arrangements and content for the quality reports pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (Text with EEA relevance) (revoked)

EU Regulation 2019/2180 · Adopted 16 December 2019 · Extends to United Kingdom

Original text. legislation.gov.uk does not revise this item, so later amendments are not shown here. Changes made to it are listed under each provision when known.

Commission Implementing Regulation (EU) 2019/2180

of 16 December 2019

specifying the detailed arrangements and content for the quality reports pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council

(Text with EEA relevance) (revoked)

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Annotations to the whole text

Textual amendments

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Regulation revoked (15.12.2021) by The UK Statistics (Amendment etc.) (EU Exit) Regulations 2021 (S.I. 2021/1300), reg. 1, Sch. 1 para. 119

Contents

  1. 1Subject matter Repealed
  2. 2Definitions Repealed
  3. 3Quality reports Repealed
  4. 4Outline of methods for assessing compliance with precision requirements Repealed
  5. 5Technical standards for transmitting quality reports Repealed
  6. 6Article 6 Repealed
  7. Signature
  8. Annex Quality criteria and statistical concepts Repealed
  9. 1CONTACTS Repealed
  10. 2STATISTICAL PRESENTATION Repealed
  11. 3STATISTICAL PROCESSING Repealed
  12. 4QUALITY MANAGEMENT Repealed
  13. RELEVANCE Repealed
  14. 5.1User needs Repealed
  15. 5.2User satisfaction Repealed
  16. 5.3Completeness Repealed
  17. ACCURACY AND RELIABILITY Repealed
  18. 6.1Overall accuracy Repealed
  19. 6.2Sampling error Repealed
  20. Non-sampling error Repealed
  21. 6.3.1Coverage error Repealed
  22. 6.3.2Measurement error Repealed
  23. 6.3.3Non-response error Repealed
  24. 6.3.4Processing error Repealed
  25. 6.3.5Model assumption error Repealed
  26. 6.4Seasonal adjustment (where applicable) Repealed
  27. 6.5Data revision – policy Repealed
  28. 6.6Data revision – practice Repealed
  29. 7TIMELINESS AND PUNCTUALITY Repealed
  30. 8COHERENCE AND COMPARABILITY Repealed
  31. 9ACCESSIBILITY AND CLARITY Repealed
  32. 10COST AND BURDEN Repealed
  33. 11CONFIDENTIALITY Repealed
  34. 12COMMENT Repealed

1Subject matterF1

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2DefinitionsF1

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3Quality reportsF1

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4Outline of methods for assessing compliance with precision requirementsF1

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5Technical standards for transmitting quality reportsF1

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Signature

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Quality criteria and statistical conceptsF1

The quality report should contain quality-related data and metadata in line with the following quality criteria and statistical concepts.

If a particular statistical concept is not relevant to a statistical operation, that concept should remain in the quality report, accompanied by the words ‘Not applicable’.

1CONTACTSF1

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2STATISTICAL PRESENTATIONF1

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3STATISTICAL PROCESSINGF1

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4QUALITY MANAGEMENTF1

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5.1User needsF1

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5.2User satisfactionF1

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5.3CompletenessF1

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6.1Overall accuracyF1

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6.2Sampling errorF1

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6.3.1Coverage errorF1

Description of divergence between the frame population and the target population.

  • Frequency and timing of frame updates.

  • Errors due to discrepancies between the sampling frame and the target population and sub-populations (over-coverage, under-coverage, misclassifications).

6.3.2Measurement errorF1

Description of errors that occur during data collection, causing recorded values of variables to differ from true values.

  • Description of efforts made in questionnaire design and testing (including addressing errors arising from multi-mode and/or multi-source data collection).

  • Description of interviewer training.

  • Proxy interview rates.

6.3.3Non-response errorF1

Description of:

  • Available characteristics of non-respondents.

  • Unit and item non-response rates.

  • Substitution rates.

  • Gross sample size (initial sample size), number of eligible units and net sample size, including substitution units (achieved sample size)

6.3.4Processing errorF1

Description of any error in processing and its impact on final data collection results, arising from faulty implementation of correctly planned implementation methods.

  • Description of quality checks and the data editing process.

  • Description of imputation procedures.

  • Imputation rates.

6.3.5Model assumption errorF1

Where applicable: description of error arising from domain-specific models needed to define the target of estimation.

6.4Seasonal adjustment (where applicable)F1

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6.5Data revision – policyF1

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6.6Data revision – practiceF1

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7TIMELINESS AND PUNCTUALITYF1

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8COHERENCE AND COMPARABILITYF1

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9ACCESSIBILITY AND CLARITYF1

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10COST AND BURDENF1

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11CONFIDENTIALITYF1

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12COMMENTF1

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