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.
Social Protection, Health, Education and Culture Statistics Division
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
29 Gedimino Ave, LT-01500 Vilnius, Lithuania
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
2 February 2023
2.2. Metadata last posted
2 February 2023
2.3. Metadata last update
2 February 2023
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).
The statistical unit for CVTS 6 is the enterprise and no deviations in the national survey.
Enterprise definition is compliant with Council Regulation (EEC) No 696/93.
3.6. Statistical population
The national survey covers enterprises with 10 or more persons employed and belonging to sections B to N and R to S of NACE Rev. 2.
The total number of enterprises in the target population is 14784.
Variable A2tot (persons employed) refers to 31 December 2020.
3.7. Reference area
The whole country.
3.8. Coverage - Time
1999, 2005, 2010, 2015, 2020
3.9. Base period
Not applicable.
Number, EUR.
The reference year for CVTS 6 is the calendar year 2020.
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
No specific national legislation
6.2. Institutional Mandate - data sharing
Not applicable.
7.1. Confidentiality - policy
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.
7.2. Confidentiality - data treatment
Statistical Disclosure Control Manual, approved by Order No DĮ-107 of 26 April 2022 of the Director General of Statistics Lithuania.
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.
8.1. Release calendar
Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar.
Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents.
All users have equal access to statistical information. All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to news subscribers.
The President and Prime Minister of the Republic of Lithuania, their advisers, the Ministers of Finance, Economy and Innovation, as well as Social Security and Labour or their authorized persons, as well as, in exceptional cases, external experts and researchers have the right to receive early statistical information. The specified persons are entitled to receive statistical reports on GDP, inflation, employment and unemployment and other particularly relevant statistical reports one day prior to the publication of this statistical information on the Official Statistics Portal. Before exercising the right of early receipt of statistical information, a person shall sign an undertaking not to disseminate the statistical information received before it has been officially published.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania.
Every 5 years.
10.1. Dissemination format - News release
The news release “Improvement of Continuing Vocational Training of Employed Persons” was published on 20 April 2022 (LT).
The statistical indicators are published in the database Database of Indicators (Population and social statistics -> Adult education and continuing vocational training -> Continuing vocational training).
The Indicators Database page is for viewing and analyzing statistical information. For more information on the Indicators Database, see the Database of Indicators User Guide
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.
Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.
More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.
11.2. Quality management - assessment
Data quality is in accordance with principles of accuracy and reliability, timeliness and punctuality, coherence and compatibility.
The main measure of error – coefficient of variation – does not exceed 5 per cent.
Before the results are provided for users, additional macro statistical data quality control is performed. Statistical indicator estimates are compared with the results of the previous period and respective indicators from other statistical surveys.
12.1. Relevance - User Needs
The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. Statistical information is needed to analyze the continuing vocational training of employees in enterprises, it is important in shaping the lifelong learning strategy, monitoring the progress of its implementation, and making social decisions.
12.2. Relevance - User Satisfaction
Since 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted.
In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.
More information on user opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website.
12.3. Completeness
All regulated indicators are published. Hours paid for employed persons in vocational training courses, Employed persons participating in vocational training courses, Enterprises organizing continuing vocational training of employed persons, Expenditure of enterprises on vocational training courses is published in NACE Rev. at section level and by groups of large (250 and more employees), medium (50-249 employees) and small (10-49 employees) enterprises.
12.3.1. Data completeness - rate
Not applicable.
13.1. Accuracy - overall
The survey is carried out by sampling method. A stratified random sample is used in the survey. The sampling list is compiled on the basis of the Statistical Register of Economic Entities. Enterprises are stratified by type of activity and number of persons employed. The non-report rate is low. Data processing errors are avoided by analyzing the primary information, communicating with respondents. When calculating the estimates of the main indicators, the data are analyzed by evaluating the exceptions, data are edited. The overall accuracy of the indicators is high enough and meets the needs of users.
13.2. Sampling error
Methodology as described in the CVTS 6 manual prepared by EUROSTAT was used to derive sampling design and estimation procedures. The Statistical Business Register (SBR) was used as a source for the sampling frame. Enterprises belonging to the NACE Rev.2 categories: B, C10-C12, C13-C15, C17-C18, C19-C23, C24-C25, C26-C28 and C33, C29-C30, C16+C31-32, D-E, F, G45, G46, G47, I, H, J, K64-K65, K66, L+M+N+R+S, with 10 and more employees and with status code equal 1 (operating enterprise) were taken from the latest updated list of active enterprises to construct the sampling frame. According to the sample plan, the sample frame was stratified by 20 NACE categories and 3 size categories of the number of employees.
13.2.1. Sampling error - indicators
See table 13.2.1 "Sampling errors - indicators" in annex "LT - QR tables CVTS 2020 (excel)".
13.3. Non-sampling error
Errors not related to the sample do not significantly affect the results. There are not many cases of non-receipt of data from respondents. The non-response rate is low.
13.3.1. Coverage error
The reference period of the CVTS 6 survey is the calendar year 2020.
Sampling frame: The Statistical Business Register (SBR) was used as a source for the sampling frame. The Statistical Business Register is regularly updated according to the internal rules of Statistics Lithuania and EU regulations.
Information on newly registered enterprises and enterprises which cancelled their activity is updated as these changes occur.
See table 13.3.1 "Coverage error" in annex "LT - QR tables CVTS 2020 (excel)".
13.3.1.1. Over-coverage - rate
Over-coverage rate is equal to 4.5%.
See table 13.3.1.1 "Over-coverage - rate" in annex "LT - QR tables CVTS 2020 (excel)".
13.3.1.2. Common units - proportion
Not applicable.
13.3.2. Measurement error
To prevent possible measurement errors at the data entry stage the electronic questionnaire and programming technical specifications for data checking are used.
13.3.3. Non response error
The error due to non-response is insignificant
13.3.3.1. Unit non-response - rate
In 2020, the non-response rate of the statistical unit stood at 0.7 per cent. This non-response rate is calculated for the non-response reasons "No activity", "Temporarily not found", "Acquired liquidation status", "Temporary cessation of activity with the intention to resume it".
See also table 13.3.3.1 "Unit non-response - rate" in annex "LT - QR tables CVTS 2020 (excel)".
13.3.3.2. Item non-response - rate
In 2020, the item non-response rate for direct expenditure on CVT courses stood at 0.51 per cent.
See also table 13.3.3.2 "Item non-response - rate" in annex "LT - QR tables CVTS 2020 (excel)".
13.3.4. Processing error
For data entry, correction and control, ABBYY eFormFiller and ORACLE RDBVS software, created using ORACLE Developer/2000, SQI Navigator, was applied. Data was provided in electronic form. Some enterprises reported the data by mail. Specialists of data preparation divisions of Statistics Lithuania performed the entry, logical and arithmetical control of data provided by mail. After the completion of data entry, R statistical package software was used for data coding, editing, weighting, imputation and tabulation.
13.3.5. Model assumption error
Not available.
14.1. Timeliness
Statistical information is published in the 16 months after the end of the reference period.
14.1.1. Time lag - first result
National statistical information is published in the 16 months after the end of the reference period.
14.1.2. Time lag - final result
National statistical information is published in the 16 months after the end of the reference period.
14.2. Punctuality
Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication.
See also table 14.2 "Project phases - dates" in annex "LT - QR tables CVTS 2020 (excel)".
14.2.1. Punctuality - delivery and publication
Not applicable.
15.1. Comparability - geographical
Statistical information is comparable among EU countries.
No additional variables related to COVID-19 were collected.
See table 15.1 "Comparability - geographical" in annex "LT - QR tables CVTS 2020 (excel)".
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not applicable.
15.2. Comparability - over time
Statistical information broken down by enterprise size class is comparable over time.
See table 15.2 "Comparability - over time" in annex "LT - QR tables CVTS 2020 (excel)".
15.2.1. Length of comparable time series
Not applicable.
15.3. Coherence - cross domain
Definition of the number of persons employed is in line with the definition used in the Business Structure Survey. When grouping data by economic activity and enterprise size, insignificant differences are possible due to other methodological differences.
See table 15.3 "Coherence - cross-domain" in annex "LT - 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
Elements of the statistical indicator set are harmonized.
In 2021, 31.7 thousand euros were allocated for the statistical survey.
In 2021, the gross sample of the survey consisted of about 3990 respondents.
In 2021, the average time of respondents to fill in the Statistical Report on Continuing Vocational Training of Employed Persons (MVG-02) – 43 min. Compared to a statistical survey conducted five years ago, the statistical reporting burden has decreased by 1 hour 27 min.
Statistics Lithuania pays a lot of attention to reducing the statistical reporting burden on respondents. Its obligations to implement the Law on Reducing the Administrative Burden of the Republic of Lithuania and to reduce the statistical reporting burden of the respondents are defined in the Policy of Reducing the Statistical Reporting Burden of the Respondents.
The results published are final and not revised later.
17.2.1. Data revision - average size
Not applicable.
18.1. Source data
Source of statistical data is a sample survey of continuing vocational training of employed persons (gross sample of about 3990 respondents).
See table 18.1 "Source data and data collection" in annex "LT - QR tables CVTS 2020 (excel)".
18.2. Frequency of data collection
Every 5 years.
18.3. Data collection
Statistics are collected in the electronic statistical data production and transmission system e-Statistics.
The data are presented in the statistical report on Continuing Vocational Training of Employed Persons MVG-02, approved by order No. DĮ-378 of 18 December 2020 of the Director General of Statistics Lithuania in 2020.
The statistical report form is based on the standard questionnaire provided in the Eurostat survey manual.
See also table 18.1 "Source data and data collection" in annex "LT - QR tables CVTS 2020 (excel)".
18.4. Data validation
To ensure the quality of the statistics, the analysis of the statistics, verification and validation of the data, editing and recording of missing values are performed. Completeness and reliability of the entered statistical data are checked, data are compared with the data of the previous period, with additional data sources. Selective Editing and Hidiroglou-Berthelos methods are used to determine exceptions. In case of any questions, respondents are contacted, adjustments are made to the statistics. The analyzed statistics are transmitted for calculation of estimates. Missing values can only be recorded if there are no answers to some of the questions in the statistical survey specified in the Eurostat Methodological Manual. Data for each enterprise that contains omitted values are analyzed individually. If the enterprise does not respond to more than 50 per cent of questions, it shall be deemed not to have been settled. If the same enterprise cannot be contacted, an attempt is made to subtract the missed parameter value from the available data for the same company. If this is not possible, the "closest neighbor" method is used.
18.5. Data compilation
Simple random stratified formulas are used to calculate estimates for statistical indicators. An estimate of the coefficient of variation is used to estimate the sampling error. The process of compiling statistical indicators is described in more detail in the Methodology of the Statistical Survey on Continuing Vocational Training of Employed Persons (only in Lithuanian).
18.5.1. Imputation - rate
See table 18.5.1 "Imputation - rate" in annex "LT - QR tables CVTS 2020 (excel)".
18.6. Adjustment
Not applicable.
18.6.1. Seasonal adjustment
Influence of season and number of working days on statistical indicators - Paid hours spent by employees on vocational training courses, Employed persons participating in vocational training courses, Enterprises organizing continuing vocational training of employed persons, Expenditure of enterprises on vocational training courses - not assessed.
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).
The statistical unit for CVTS 6 is the enterprise and no deviations in the national survey.
Enterprise definition is compliant with Council Regulation (EEC) No 696/93.
The national survey covers enterprises with 10 or more persons employed and belonging to sections B to N and R to S of NACE Rev. 2.
The total number of enterprises in the target population is 14784.
Variable A2tot (persons employed) refers to 31 December 2020.
The whole country.
The reference year for CVTS 6 is the calendar year 2020.
The survey is carried out by sampling method. A stratified random sample is used in the survey. The sampling list is compiled on the basis of the Statistical Register of Economic Entities. Enterprises are stratified by type of activity and number of persons employed. The non-report rate is low. Data processing errors are avoided by analyzing the primary information, communicating with respondents. When calculating the estimates of the main indicators, the data are analyzed by evaluating the exceptions, data are edited. The overall accuracy of the indicators is high enough and meets the needs of users.
Number, EUR.
Simple random stratified formulas are used to calculate estimates for statistical indicators. An estimate of the coefficient of variation is used to estimate the sampling error. The process of compiling statistical indicators is described in more detail in the Methodology of the Statistical Survey on Continuing Vocational Training of Employed Persons (only in Lithuanian).
Source of statistical data is a sample survey of continuing vocational training of employed persons (gross sample of about 3990 respondents).
See table 18.1 "Source data and data collection" in annex "LT - QR tables CVTS 2020 (excel)".
Every 5 years.
Statistical information is published in the 16 months after the end of the reference period.
Statistical information is comparable among EU countries.
No additional variables related to COVID-19 were collected.
See table 15.1 "Comparability - geographical" in annex "LT - QR tables CVTS 2020 (excel)".
Statistical information broken down by enterprise size class is comparable over time.
See table 15.2 "Comparability - over time" in annex "LT - QR tables CVTS 2020 (excel)".
