Accuracy and reliability

Overall accuracy

The reliability of the educational information is considered to be high. The information in the statistics is obtained from the institutions' administrative registers and goes through error check procedures in connection with the annual data collections.

The primary uncertainty related to the statistics comes from typing errors in the reporting from the municipalities.

Sampling error

Not relevant for these statistics.

Non-sampling error

A source of uncertainty is the reporting errors from the municipalities. In rare cases a child will be double counted or deleted due to poorly registration of their personal registration code (CPR) which may affect an overlap check.

Quality management

Statistics Denmark follows the recommendations on organisation and management of quality given in the Code of Practice for European Statistics (CoP) and the implementation guidelines given in the Quality Assurance Framework of the European Statistical System (QAF). A Working Group on Quality and a central quality assurance function have been established to continuously carry through control of products and processes.

Quality assurance

Statistics Denmark follows the principles in the Code of Practice for European Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.

Quality assessment

The data is gathered through a dialogue with the municipalities. Therefore, the quality of the data is considered high.

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

Revisions of data does is usually not necesary. However, should Statistics Denmark discover errors, a revision will be carried out.