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Accuracy and reliability

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Labour Market
Pernille Stender
+45 24 92 12 33

PSD@dst.dk

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Employment Statistics for Graduates within Arts and Culture

It is not possible to calculate the margins of statistical error. The statistics are compiled for the whole population and, therefore, there is no sample error.

Overall accuracy

The data which are used to produce the statistics are generally considered to have a high quality.

Sampling error

Not relevant for this statistics.

Non-sampling error

Not relevant for this statistics.

Quality management

Statistics Denmark follows the recommendations on the organisation and management of quality set out in the Code of Practice for European Statistics and the accompanying implementation model, the Quality Assurance Framework. Read more about these on the page Quality in official statistics.

Quality management is supported by common principles, guidelines and managerial responsibility for quality in statistical products and processes. The aim is to ensure a systematic and consistent approach to quality across the entire statistical production.

Quality assurance

Quality assurance at Statistics Denmark is integrated into the statistical production processes and is carried out in accordance with the principles of the Code of Practice for European Statistics. Read more on the page Quality in official statistics.

Quality assurance includes the continuous use of standardised procedures, documentation in line with international standards and internal controls related to data collection, data processing and dissemination. Experience gained from production is continuously used to identify needs for adjustments and improvements.

Quality assessment

The register data on which the statistics are based has a high quality.

Data revision - policy

Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

Data revision practice

Provisional figures are not compiled.