Title of statistical activity: Adult Education Survey (household survey)

Code of statistical activity: 40309

  1. Contact
  2. Metadata update
  3. Statistical presentation
  4. Unit of measure
  5. Reference period
  6. Institutional mandate
  7. Confidentiality
  8. Release policy
  9. Frequency of dissemination
  10. Accessibility and clarity
  11. Quality management
  12. Relevance
  13. Accuracy and reliability
  14. Timeliness and punctuality
  15. Coherence and comparability
  16. Cost and burden
  17. Data revision
  18. Statistical processing
  19. Comments

1. Contact Individual or organisational contact points for the data or metadata, including information on how to reach the contact points.

1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.

Statistics Estonia

1.2. Contact organisation unit An addressable subdivision of an organisation.

Social Statistics and Analysis Department

1.3. Contact name The name of the contact points for the data or metadata.

Kaire Raasik

1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".

Leading Statistician-Methodologist

1.5. Contact mail address The postal address of the contact points for the data or metadata.

51 Tatari Str, 10134 Tallinn

1.6. Contact email address E-mail address of the contact points for the data or metadata.

kaire.raasik@stat.ee

1.7. Contact phone number The telephone number of the contact points for the data or metadata.

+372 625 8483

2. Metadata update The date on which the metadata element was inserted or modified in the database.

2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.

14/05/2018

2.2. Metadata last update Date of last update of the content of the metadata.

14/05/2018

3. Statistical presentation

3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.

Participation in adult education by sex, age group, mother tongue, educational level, region, place of residence, social status and household’s net income.

3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.

Classification of Estonian administrative units and settlements (EHAK)

International Standard Classification of Occupations (ISCO 08)

International Standard Classification of Education (ISCED 2011)

International Standard Codes for the Representation of the Names of Countries (ISO 3166)

Codes for the Representation of Names of Languages (ISO 639-2)

Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2

Classification of Ethnicities

3.3. Sector coverage Main economic or other sectors covered by the statistics.

Covered sectors according to the Estonian Classification of Economic Activities (EMTAK 2008) based on NACE, Rev. 2:

D, E – Electricity, gas, steam and air conditioning supply; water supply; sewerage, waste management and remediation activities

S, T, U – Other activities

3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.

Basic level of computer skills – ability to use word processing and spreadsheet programs, to copy files/folders or change their location, etc.

Employed person – a person who during the reference period

- worked and was paid as a wage earner, entrepreneur or a freelancer;

- worked without direct payment in a family enterprise or on his/her own farm;

- was temporarily absent from work.

Expert level of computer skills – ability to write computer programs, solve software and hardware problems if a computer does not work as it should, etc.

Foreign language – a language that is not a mother tongue.

Formal education – general, vocational and higher education. Formal education is organisationally ensured, based on national curricula, and a certificate or diploma is given at its completion.

Labour market training – professional training organised for unemployed persons, where the persons receive or develop professional or other skills which facilitate their employment.

Minimum wages (salaries) – minimum monthly pay (in 2016, 430 euros).

Mother tongue – the first language that is spoken in early childhood. One person may have more than one mother tongue.

Participation in adult education – participation of persons aged 20–64 in formal education (general, vocational and higher education), training, courses, seminars, workshops, on-the-job training and private lessons; as well as self-study or intentional self-development.

Primary sector – agriculture, hunting, forestry, fishing.

Proficient level of computer skills – ability to format text, create graphs with spreadsheet programs, install simpler devices and programs, etc.

Rural settlement – a small town and village.

Secondary sector – mining and quarrying, manufacturing, electricity, gas and water supply, construction.

Self-study or intentional self-development – purposeful improvement of knowledge and skills among family, at the work place and in everyday life. This includes learning from a family member, friend or colleague, intentional self-development using printed sources, computer or the media, learning from a guide while sightseeing or visiting museums and visiting libraries and learning centres in order to improve one’s knowledge and skills. Self-development obtained through studies in formal education system or through participation in training courses should not be considered as a type of self-development activity.

Tertiary sector – trade, services, etc.

Training – training (e.g. labour market training, hobby training, work-related training), course, seminar, workshop, on-the-job training and private lessons.

Urban settlement – a city, city without municipal status and town.

3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.

Person

3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.

Permanent residents of Estonia aged 20–64, excluding persons living in institutions (children’s homes, care homes, monasteries, convents, etc.)

FRAME

The list of permanent residents of Estonia based on the 2011 Population and Housing Census and the population register

3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.

Administrative and settlement units

3.8. Time coverage The length of time for which data are available.

Data is available for years 2007 and 2010.

3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.

Not applicable

4. Unit of measure The unit in which the data values are measured.

Participants/non-participants in adult education by different characteristics – absolute number (thousand)

The share of participants/non-participants in adult education by different characteristics – percent

5. Reference period The period of time or point in time to which the measured observation is intended to refer.

Year

6. Institutional mandate

6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.

DIRECTLY APPLICABLE LEGAL ACTS

Regulation (EC) No 452/2008 of the European Parliament and of the Council of 23 April 2008 concerning the production and development of statistics on education and lifelong learning

OTHER LEGAL ACTS

Not available

OTHER AGREEMENTS

Statistical Office of the European Union (Eurostat)

Organisation for Economic Co-operation and Development (OECD)

International Labour Organization (ILO)

7. Confidentiality A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties.

7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34 and § 35 of the Official Statistics Act.

7.2. Confidentiality - data treatment Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.

Only estimates which are based on 20 or more respondents are published in the Statistical Database of Statistics Estonia.

8. Release policy Rules for disseminating statistical data to interested parties.

8.1. Release calendar The schedule of statistical release dates.

Notifications about the dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the statistical database, news releases, main indicators by IMF SDDS and publications for the following year are announced in the release calendar (in the case of publications – the release month).

8.2. Release calendar access Access to the release calendar information.

https://www.stat.ee/release-calendar

8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.

All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the statistical database. If there is also a news release, it is published simultaneously with data in the statistical database. Official statistics are available on the website at 8:00 a.m. on the date announced in the release calendar.

9. Frequency of dissemination The time interval at which the statistics are disseminated over a given time period.

Over five years

10. Accessibility and clarity

10.1. News release Regular or ad-hoc press releases linked to the data.

The news release is published when new data are released.

10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.

Not published

10.3. Online database Information about on-line databases in which the disseminated data can be accessed.

Data are published under the subject area “Social life / Education” in the statistical database at http://pub.stat.ee.

10.4. Microdata access Information on whether micro-data are also disseminated.

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34, § 35, § 36, § 37, § 38 of the Official Statistics Act.

Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes: https://www.stat.ee/dokumendid/51669.

10.5. Other References to the most important other data dissemination done.

Data serve as input for statistical activity 50101 “Regional development”.

10.6. Documentation on methodology Descriptive text and references to methodological documents available.

Adult Education Survey Manual (draft), Eurostat

https://circabc.europa.eu

10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.

A quality report corresponding to requirements is sent to Eurostat.

11. Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes.

11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.

To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements in § 7. “Principles and quality criteria of producing official statistics” of the Official Statistics Act.

11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.

Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process; this information can take many forms, including feedback from users, process metadata, system metrics and suggestions from employees. This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.

12. Relevance The degree to which statistical information meet current and potential needs of the users.

12.1. User needs Description of users and their respective needs with respect to the statistical data.

Ministry of Education and Research

Ministry of Economic Affairs and Communications

Ministry of Social Affairs

Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.

All results are available on the website at https://www.stat.ee/user-surveys.

12.3. Completeness The extent to which all statistics that are needed are available.

In compliance with the rules (regulations)

13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
Reliability: closeness of the initial estimated value to the subsequent estimated value.

13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.

The type of survey and the data collection methods ensure sufficient coverage and timeliness.

13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.

The error due to probability sampling is estimated.

13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.

Eurostat and the national statistical insituties try to reduce non-sampling errors through continuous methodological and survey process improvements, e.g. by adopting computer-assisted price collection, which can help to avoid coding and typing errors.

14. Timeliness and punctuality

14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.

The preliminary data are published 8 months after the end of the survey.

14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.

The data have been published at the time announced in the release calendar.

15. Coherence and comparability

15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.

The data are comparable with the data of other European Union countries.

15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.

The data are comparable across the whole time series (2007–…).

15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.

Not applicable

15.4. Coherence - internal The extent to which statistics are consistent within a given data set.

The outputs of the statistical activity are coherent.

16. Cost and burden Cost associated with the collection and production of a statistical product and burden on respondents.

Total time of filling in reports of the statistical activities, working days: 7.8

17. Data revision Any change in a value of a statistic released to the public.

17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at https://www.stat.ee/dissemination-policy.

17.2. Data revision - practice Information on the data revision practice.

The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.

18. Statistical processing

18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.

SURVEY DATA

Total population is 840,000 objects. The sample includes 6,000 objects.

Data has been collected by stratified random sampling by age and sex.

ADMINISTRATIVE DATA

Not used

DATA FROM OTHER STATISTICAL ACTIVITIES

Not used

18.2. Frequency of data collection Frequency with which the source data are collected.

Over five years

18.3. Data collection Systematic process of gathering data for official statistics.

Data are collected from individuals. The methods used for collecting the data include a telephone interview (CATI) and a face-to-face interview (CAPI). The interviews are conducted by Statistics Estonia's telephone interviewers with relevant training. The Survey Fieldwork Information System is used to manage and monitor data collection. The questionnaires have been designed to be filled in electronically by the respondent. The information related to data submission is available on Statistics Estonia's website at https://www.stat.ee/11757.

The data are collected with the official statistical questionnaire “Eesti täiskasvanute koolitus”.

18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.

The validation process consists of arithmetic and quality checks, including comparison with other data. Before data dissemination, the internal coherence of the data is checked.

18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.

The Estonian adult education survey includes approximately 6,000 people aged 20–64 sampled randomly from the population of Estonia.

In the case of missing or unreliable data, estimate imputation based on established regulations is used.

Variables and statistical units which were not collected but which are necessary for producing the output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly, the derived variable may, in turn, be based on previously derived new variables.

For statistical units weights are calculated, which are used to expand the data of the sample survey to the total population. Expansion of the data is based on the estimated population of 1 January of the reference year. All data for the total population from expanding the sample are estimates of actual parameters.

Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures, e.g. average, median, dispersion, etc.

The collected data are converted into statistical output. This includes calculating additional indicators.

18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.

Not applied

19. Comments Supplementary descriptive text which can be attached to data or metadata.

Not available