Continuing vocational training in enterprises (trng_cvt)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Statistics Estonia


Eurostat metadata
Reference metadata
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
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistics Estonia

1.2. Contact organisation unit

Population and Social Statistics Department

1.5. Contact mail address

Tatari 51, 10134 Tallinn


2. Metadata update Top
2.1. Metadata last certified 14/02/2023
2.2. Metadata last posted 14/02/2023
2.3. Metadata last update 14/02/2023


3. Statistical presentation Top
3.1. Data description

The Continuing Vocational Training Survey (CVTS) collects information on enterprises’ investment in the continuing vocational training of their staff. Continuing vocational training (CVT) refers to education or training measures or activities which are financed in total or at least partly by the enterprise (directly or indirectly). Part financing could include the use of work-time for the training activity as well as financing of training equipment.
Information available from the CVTS is grouped around the following topics:
- Provision of CVT courses and other forms of CVT (training/non-training enterprises)
- CVT strategies
- Participants in CVT courses
- Costs of CVT courses
- Time spent in CVT courses
- Characteristics of CVT courses
- Assessment of CVT activities
The CVTS also collects some information on initial vocational training (IVT).
For further information see the CVTS 6 legislation (http://ec.europa.eu/eurostat/web/education-and-training/legislation) and the CVTS 6 implementation manual (http://ec.europa.eu/eurostat/web/education-and-training/methodology).

3.2. Classification system

The main groupings for enterprises are by economic activity (NACE), size group and training/non-training enterprises.

3.3. Coverage - sector

CVTS 6 covers all economic activities defined in sections B to N and R to S of NACE Rev. 2. 

3.4. Statistical concepts and definitions

Definitions as well as the list of variables covered are available in the CVTS 6 implementation manual (http://ec.europa.eu/eurostat/web/education-and-training/methodology).

3.5. Statistical unit

The statistical unit for CVTS 6 is the enterprise.

Enterprise definition is compliant with Council Regulation (EEC) No 696/93.

3.6. Statistical population

CVTS 6 covers enterprises with 10 or more persons employed belonging to certain NACE categories (see 3.3).

Total number of enterprises in the target population was 7130. 

Variable A2tot (persons employed) refers to 31 December 2020.

3.7. Reference area

The reference area is the whole country. No parts of the country are excluded. 

3.8. Coverage - Time

On national level, the data for reference years 1999, 2005, 2010, 2015 and 2020 are available.

3.9. Base period

Not applicable.


4. Unit of measure Top

Number, EUR.


5. Reference Period Top

The reference year for CVTS 6 is the calendar year 2020.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

At European level:
Basic legal act: Regulation (EC) No 1552/2005 of the European Parliament and the Council
Implementing act: Commission Regulation (EU) No 1153/2014, amending Commission Regulation (EC) No 198/2006

At national level:
Not applicable.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Any data disseminated or sent to Eurostat has no variables which can be used to identify the responding enterprises.

7.2. Confidentiality - data treatment

For each respondent, an anonymous ID was generated to ensure confidentiality. No enterprise is identifiable from the data sent to Eurostat or disseminated elsewhere.

In table 15.3 "Coherence - cross-domain" in annex "EE - QR tables CVTS 2020 (excel)", the aggregated data cells are suppressed if there were less than 3 respondents.


8. Release policy Top
8.1. Release calendar

Statistics Estonia released data tables in June 2022. 

8.2. Release calendar access

Not applicable.

8.3. Release policy - user access

All users have been granted equal access to official statistics in Estonia: 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 Top

Every 5 years.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

No news releases were released linked to the data.

10.2. Dissemination format - Publications

No publications for CVTS 6 data have yet been published.

10.3. Dissemination format - online database

The aggregated data for key variables can be found in the database of Statistics Estonia https://andmed.stat.ee/en/stat/sotsiaalelu__haridus__taiskasvanute-koolitus__taiskasvanute-koolitus-ettevetetes

10.3.1. Data tables - consultations

Not applicable.

10.4. Dissemination format - microdata access

Legal persons and organisations can use the micro-data for scientific research. The data can be used on a safe centre computer or remotely, depending on the nature of the data and contract conditions. A more detailed description of processing the application and data use conditions can be found in the standard “Procedure for the dissemination of confidential data for scientific purposes".

10.5. Dissemination format - other

There has been no other dissemination.

10.5.1. Metadata - consultations

Not applicable.

10.6. Documentation on methodology

The main methodological document is the Eurostat manual. There are no special national reports on methodology, as the Eurostat methodology was followed closely.

10.6.1. Metadata completeness - rate

Not applicable.

10.7. Quality management - documentation

The main documentation on quality management and assessment is the quality report to Eurostat.


11. Quality management Top
11.1. Quality assurance

The online questionnaire used had some basic controls in place, to prevent major errors in data entry. After the data collection, recoding of the variables took place. During this process, any irregularities were removed from the dataset.

11.2. Quality management - assessment

The overall quality of the survey is good. The main strength of the survey is the comparability with other countries, which will lead to better conclusions overall.

There were however problems with online environment used for survey, as this was more appropriate for private individuals rather than legal entities, so that has probably contributed to higher non-response rate for CVTS 6.


12. Relevance Top
12.1. Relevance - User Needs

Users of the results from the surveys are in the first hand the European Council, the European Parliament and the European Commission in monitoring and analyzing the development of Lifelong Learning in the European Union.

The survey results are also of interest to persons engaged in the educational sector, educational institutions and ministries in Estonia. Results of the survey are expected to be used for evaluation and possibly for defining new political initiatives in the area of continuing vocational training.

12.2. Relevance - User Satisfaction

No user satisfaction surveys have been conducted. As European level user groups are the main users for this survey, it would be too early to analyse user satisfaction before any dissemination from Eurostat.

12.3. Completeness

The final dataset covers all NACE sectors, enterprise size groups and variables as requested in the CVTS 6 legislation (http://ec.europa.eu/eurostat/web/education-and-training/legislation).

12.3.1. Data completeness - rate

Not applicable.


13. Accuracy Top
13.1. Accuracy - overall

Overall, the CVTS 6 estimates have a good quality and are trustworthy.

13.2. Sampling error

The sampling method used was stratified random sampling. The sample was stratified by NACE Rev. 2 and size category according to the following minimum specifications:

- 20 NACE Rev. 2 categories [B, C10-C12, C13-C15, C17-C18, C19-C23, C24-C25, C26-C28+C33, C29-C30, C16+C31-C32, D-E, F, G45, G46, G47, H, I, J, K64-K65, K66, L+M+N+R+S],
- 3 enterprise size categories, according to their number of persons employed: (10-49) (50-249) (250 and more).

A frozen frame of the business registry is taken in early November, and it contains information on all active enterprises, their activity type, and so on. Each enterprise is assigned a permanent random number when it first enters the registry. Enterprises are then sampled based on the frozen frame later in November.

The population is stratified according to NACE as well as the number of persons employed. Enterprises with more than 50 persons employed are surveyed totally. In each stratum, enterprises are arranged first by their accumulated response burden (as measured by the cumulative number of questionnaires an enterprise has to answer over all coordinated surveys), then by their permanent random numbers. From the list of enterprises who were a part of the previous year’s sample, 30% with the highest burden are removed. Then enterprises with the lowest burden who were not in the sample last year are added until the desired sample size for the stratum is achieved.

For estimation and grossing-up procedures, the enterprises were weighted in accordance with the total population and the number of respondents in the strata.

13.2.1. Sampling error - indicators

See table 13.2.1 "Sampling errors - indicators" in annex "EE - QR tables CVTS 2020 (excel)".

13.3. Non-sampling error

No additional information.

13.3.1. Coverage error

See table 13.3.1 "Coverage error" in annex "EE - QR tables CVTS 2020 (excel)".

13.3.1.1. Over-coverage - rate

See table 13.3.1.1 "Over-coverage - rate" in annex "EE - QR tables CVTS 2020 (excel)". 

13.3.1.2. Common units - proportion

Not applicable.

13.3.2. Measurement error

To prevent measurement errors, the respondents of the online questionnaire had access to detailed definitions of the terms used and additional help texts. This reduces the cases where the respondents misunderstand the topic covered and provide wrong information as a result. 

13.3.3. Non response error

The unit non-response for CVTS 6 was larger than five years earlier for CVTS 5.

The variables with the biggest non-response were the ones that had been subjected to different routing and filtering, due to changes in the national questionnaire compared to the Eurostat questionnaire. The respondents who were routed past these questions were still coded as non-respondents for Eurostat (in accordance with the Eurostat manual rules) and the actual item non-response was fairly low. The highest item non-response was for the detailed breakdown of the costs, as it was complicated for the respondents to assess such a detailed breakdown.

13.3.3.1. Unit non-response - rate

See table 13.3.3.1 "Unit non-response - rate" in annex "EE - QR tables CVTS 2020 (excel)".

13.3.3.2. Item non-response - rate

See table 13.3.3.2 "Item non-response - rate" in annex "EE - QR tables CVTS 2020 (excel)".

13.3.4. Processing error

For data processing and editing R scripts were used. No additional errors were caused by coding or editing.

13.3.5. Model assumption error

No errors due to model assumption.


14. Timeliness and punctuality Top
14.1. Timeliness

The reference period for CVTS 6 is the calendar year 2020.

14.1.1. Time lag - first result

Reference period: 2020. Data was published in June 2022.

14.1.2. Time lag - final result

Not relevant. 

14.2. Punctuality

Data have been delivered according to relevant regulations.

See table 14.2 "Project phases - dates" in annex "EE - QR tables CVTS 2020 (excel)".

14.2.1. Punctuality - delivery and publication

Not applicable.


15. Coherence and comparability Top
15.1. Comparability - geographical

All concepts and definitions were the same as in the Eurostat CVTS manual.

See table 15.1 "Comparability - geographical" in annex "EE - QR tables CVTS 2020 (excel)".

Some additional information related to COVID-19 was collected, see also table 15.1 "Comparability - geographical" in annex "EE - QR tables CVTS 2020 (excel)".

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time

See table 15.2 "Comparability - over time" in annex "EE - QR tables CVTS 2020 (excel)".

15.2.1. Length of comparable time series

Not applicable.

15.3. Coherence - cross domain

See table 15.3 "Coherence - cross-domain" in annex "EE - QR tables CVTS 2020 (excel)".

15.3.1. Coherence - sub annual and annual statistics

Not applicable.

15.3.2. Coherence - National Accounts

Not applicable.

15.4. Coherence - internal

CVTS results for a given reference year are based on the same microdata and results are calculated using the same estimation methods, therefore the data are internally coherent.


16. Cost and Burden Top

The main cost associated with CVTS 6 was the working time spent. No exact figures are available.

There has been a decrease in response rate compared with CVTS 5, that might suggest that the burden on respondents was higher. Online environment to fill the CVTS questionnaire is not the same that enterprise's usually use to fill questionnaires for Statistics Estonia.


17. Data revision Top
17.1. Data revision - policy

Not applicable.

17.2. Data revision - practice

Not applicable.

17.2.1. Data revision - average size

Not applicable.


18. Statistical processing Top
18.1. Source data

Data is collected mainly by a common European questionnaire translated into Estonian and filled by a sample of Estonian enterprises. In addition to the data based on the questionnaire a small part of data has been collected from existing data registers of enterprises.

See also table 18.1 "Source data and data collection" in annex "EE - QR tables CVTS 2020 (excel)".

18.2. Frequency of data collection

Every 5 years.

18.3. Data collection

Questionnaires were filled mainly via computer (CAWI interviews). But there were a very small amount of enterprises that were allowed to fill the questionnaire on paper. 

See also table 18.1 "Source data and data collection" in annex "EE - QR tables CVTS 2020 (excel)".

In the annexes there are attached the questionnaires used for Estonian CVTS 6.

18.4. Data validation

Several automatic checks were implemented in the web-questionnaire to prevent erroneous answers. Data were validated with the Edamis control program in order to conduct field level and record level checks. Field level checks control whether valid codes and ranges are used and check for the coherence between a variable entry and allowed entries, whereas record level checks test the consistency between variables for a single enterprise record.

18.5. Data compilation

Imputation was conducted on specific variables (so called core variables) specified by Eurostat. A weighting procedure was applied on strata, which were formed according to two main characteristics: the main activity and the size class of the company according to the number of employees. The weighting factor was calculated as the ratio of the total set of the corresponding layer and the number of answered units. 

18.5.1. Imputation - rate

See table 18.5.1 "Imputation - rate" in annex "EE - QR tables CVTS 2020 (excel)".

18.6. Adjustment

Not applicable.

18.6.1. Seasonal adjustment

Not applicable.


19. Comment Top


Related metadata Top


Annexes Top
EE CVTS 6 questionnaire in English
EE CVTS 6 questionnaire in Estonian
EE CVTS 6 questionnaire in Russian
EE - QR tables CVTS 2020 (excel)