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National reference metadata

Denmark

Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.

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Adult Education Survey 2022

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Statistics Denmark

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The Adult Education Survey (AES) covers adults’ participation in education and training (formal - FED, non-formal - NFE and informal learning - INF). The 2022 AES focuses on people aged 18-69. The reference period for the participation in education and training is the twelve months prior to the interview.

Information available from the AES is grouped around the following topics:

  • Participation in formal education, non-formal education and training and informal learning
  • Volume of instruction hours
  • Characteristics of the learning activities
  • Reasons for participating
  • Obstacles to participation
  • Access to information on learning possibilities and guidance
  • Employer financing and costs of learning
  • Self-reported language skills

For further information see the 2022 AES legislation (http://ec.europa.eu/eurostat/web/education-and-training/legislation) and the 2022 AES implementation manual (http://ec.europa.eu/eurostat/web/education-and-training/methodology).

13 February 2024

Definitions as well as the list of variables covered are available in the 2022 AES implementation manual (http://ec.europa.eu/eurostat/web/education-and-training/methodology).

Individuals, non-formal learning activities.

Individuals aged 18-69 living in private households.

Denmark

The reference period for the 2022 AES is the 12 months prior to the interview.

The 2022 survey was conducted from 1 October 2022 to 8 February 2023, with reminders up to 20 March 2023.

Equivalent to other surveys based on samples the results of this survey have some sampling errors attached. The sampling errors are related to the sample selection and the patterns of non-response. Non-response occurs when an interview with a selected person is not carried out. Non-response increases the inaccuracy rate because the probability of conducting an interview with all selected people is uneven. In other words, it is the same kind of sections of the populations where interviews are not being carried out at the same extent as other sections of the population. Consequently the level of representatively is affected.

In the AES survey it was decided to apply intervals of confidence at a 95 significance level. The uncertainty has been calculated for selected indicators, see section 13.2.1.

Number, EUR.

Persons who dropped out of the survey for several reasons are unevenly distributed across different groups in the population, weakening representativeness. We have utilized registers from Statistics Denmark to construct weights associated with each response in the data. These weights ensure that response data once again becomes representative of the overall population. The calculated weights sum up to the population.

The following background variables were significant in the weighting model:

  • Age
  • Gender
  • Education
  • Origin
  • Family income

Population: the Danish population of age 18-69 years.

Sampling Frame: Central Person Register (CPR).

Total overview

Eligible elements: 9,058

  • 18-24 years: 301
  • 25-69 years: 2,147

Respondents: 2,448

See also table 18.1 “Source data” in annex “DK - QR tables 2022 AES (excel)”.

Every 6 years.

The reference period for the 2022 AES is the 12 months prior to the interview.

See table 15.1 “Deviations from 2022 AES concepts and definitions” in annex “DK - QR tables 2022 AES (excel)”.

Some additional variables/information related to COVID-19 were collected, see also table 15.1 “Deviations from 2022 AES concepts and definitions” in annex “DK - QR tables 2022 AES (excel)”.

See table 15.2 “Comparability - over time” in annex “DK - QR tables 2022 AES (excel)”.