# 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

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)

PDFs: Printed copy https://openlegislation.uk/eu-regulation-2019-2180/pdf/eur_20192180_adopted_en.pdf

## Introductory text

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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## 1 Subject matter

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## 2 Definitions

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## 3 Quality reports

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## 4 Outline of methods for assessing compliance with precision requirements

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## 5 Technical standards for transmitting quality reports

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## 6 

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## Signature

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## Quality criteria and statistical concepts

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’.

## 1 CONTACTS

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## 2 STATISTICAL PRESENTATION

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## 3 STATISTICAL PROCESSING

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## 4 QUALITY MANAGEMENT

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### Division 5: RELEVANCE

## 5.1 User needs

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## 5.2 User satisfaction

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## 5.3 Completeness

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### Division 6: ACCURACY AND RELIABILITY

## 6.1 Overall accuracy

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## 6.2 Sampling error

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### Division 6.3: Non-sampling error

## 6.3.1 Coverage error

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).

## 6.3.2 Measurement error

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.

## 6.3.3 Non-response error

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)

## 6.3.4 Processing error

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.

## 6.3.5 Model assumption error

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

## 6.4 Seasonal adjustment (where applicable)

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## 6.5 Data revision – policy

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## 6.6 Data revision – practice

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## 7 TIMELINESS AND PUNCTUALITY

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## 8 COHERENCE AND COMPARABILITY

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## 9 ACCESSIBILITY AND CLARITY

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## 10 COST AND BURDEN

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## 11 CONFIDENTIALITY

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## 12 COMMENT

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Source: https://www.legislation.gov.uk/eur/2019/2180 (the official version)
Page: https://openlegislation.uk/eu-regulation-2019-2180
Contains public sector information licensed under the Open Government Licence v3.0. Source: legislation.gov.uk, The National Archives.

