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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Netherlands |
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1.2. Contact organisation unit | Socio-economic and spatial statistics |
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1.5. Contact mail address | CBS P.O. box 4481, 6401 CZ Heerlen, The Netherlands |
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2.1. Metadata last certified | 13/02/2023 | ||
2.2. Metadata last posted | 13/02/2023 | ||
2.3. Metadata last update | 13/02/2023 |
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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). |
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3.2. Classification system | |||
The main groupings for enterprises are by economic activity (NACE), size and training/non-training enterprises. |
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3.3. Coverage - sector | |||
CVTS 6 covers all economic activities defined in sections B to N and R to S of NACE Rev. 2. |
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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). |
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3.5. Statistical unit | |||
The statistical unit for CVTS 6 is the enterprise. Enterprise definition is compliant with Council Regulation (EEC) No 696/93. |
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3.6. Statistical population | |||
Total number of enterprises in target population: 58 249 enterprises. Variable A2tot (persons employed) refers to 31 December 2020. |
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3.7. Reference area | |||
The Netherlands |
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3.8. Coverage - Time | |||
1986, 1990, 1993, 1999, 2005, 2010, 2015, and 2020. |
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3.9. Base period | |||
Not applicable. |
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Number, %, EUR. |
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The reference year for CVTS 6 is the calendar year 2020. |
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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 In Dutch: Wet op het Centraal Bureau voor de Statistiek: wetten.nl - Regeling - Wet op het Centraal bureau voor de statistiek - BWBR0015926 (overheid.nl) Agreements with Ministry of Economic Affairs and Ministry of Education regarding additional questions that are included in the survey. |
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6.2. Institutional Mandate - data sharing | |||
Not applicable. |
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7.1. Confidentiality - policy | |||
Statistics Netherlands Act - Wet op het CBS (stb 2003, 561) (https://zoek.officielebekendmakingen.nl/STB-2003-516.html) |
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7.2. Confidentiality - data treatment | |||
Data rounding is applied and cell suppression if needed. |
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8.1. Release calendar | |||
The CVTS 2020 micro data are available via the Statistics Netherlands website. There is no particular release calendar for the dataset, yet Statistics Netherlands does provide an overview of all datasets that are available to the (authorized) public. Furthermore, aggregated CVTS data tables were updated in Q4 2022 and the general public informed regarding the release date via the website of Statistics Netherlands. |
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8.2. Release calendar access | |||
Micro data, in Dutch: Catalogus microdata (cbs.nl). Aggregated data tables are available as open data (StatLine). The general public is informed about the release via: StatLine (cbs.nl). |
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8.3. Release policy - user access | |||
Aggregated data tables are available for all users/the general public at the same time. Micro data are available to authorized organisations, and can be found at the website Microdata: Conducting your own research (cbs.nl). |
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Every 5 years. |
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10.1. Dissemination format - News release | |||
Results are published on the website of Statistics Netherlands and are available for the public. |
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10.2. Dissemination format - Publications | |||
Results are published on the website of Statistics Netherlands and are available for the public. In Dutch: Vooral bij kleine bedrijven minder cursussen in 2020 (cbs.nl) |
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10.3. Dissemination format - online database | |||
The main results of CVTS are published on the online databases on the website of Statistics Netherlands and are available for the public. These are aggregated data. https://opendata.cbs.nl/#/CBS/nl/dataset/81850NED/table?dl=743DA https://opendata.cbs.nl/#/CBS/nl/dataset/81848NED/table?dl=76717 |
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10.3.1. Data tables - consultations | |||
Not applicable. |
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10.4. Dissemination format - microdata access | |||
Micro-data is available via remote access, under certain conditions. |
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10.5. Dissemination format - other | |||
Not applicable. |
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10.5.1. Metadata - consultations | |||
Not applicable. |
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10.6. Documentation on methodology | |||
Methodological information is available on the website of Statistics Netherlands (in Dutch): https://www.cbs.nl/nl-nl/onze-diensten/methoden/onderzoeksomschrijvingen/korte-onderzoeksbeschrijvingen/bedrijfsopleidingen. |
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10.6.1. Metadata completeness - rate | |||
Not applicable. |
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10.7. Quality management - documentation | |||
Documentation on the quality management and assessment is available on the website of Statistics Netherlands (in Dutch): https://www.cbs.nl/nl-nl/onze-diensten/methoden/onderzoeksomschrijvingen/korte-onderzoeksbeschrijvingen/bedrijfsopleidingen. |
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11.1. Quality assurance | |||
The following activities were implemented in order to optimize the CVTS data quality:
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11.2. Quality management - assessment | |||
The overall quality of the survey is good. The use of a web based questionnaire avoids routing issues and obliges enterprises to answer in a consistent way. This improves the quality of the received data. The results are generally in line with other data and with previous CVT surveys. The quantitative questions (although inevitable) are not easy to answer by enterprises. This results in a still fairly high burden on enterprises. |
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12.1. Relevance - User Needs | |||
CVTS information is especially valuable for e.g. policy makers at European level (e.g. European Commission, European Parliament, other European agencies), policy makers at national level (e.g. ministries), Social actors (e.g. employers' associations, trade unions), media, Researchers, students, and Enterprises (for own market research activities). |
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12.2. Relevance - User Satisfaction | |||
No satisfaction surveys are used. |
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12.3. Completeness | |||
The final dataset for CVTS 6 covers all NACE sectors, enterprise size groups and variables as requested in the CVTS 6 legislation. |
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12.3.1. Data completeness - rate | |||
No deviation. |
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13.1. Accuracy - overall | |||
CVTS results are mainly based on survey data. The data collection is an estimation, and should therefore be interpreted with a certain level of caution. However, the response rate was 84%, stratification (NACE and size) was applied in the sample, and with the use of weights a high level of accuracy can be achieved. |
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13.2. Sampling error | |||
Sampling method The sampling was carried out in compliance with the instructions given in the Eurostat Manual. The sampling frame is the Dutch Business Register, managed by Statistics Netherlands. The gross sample consists of 5370 enterprises. The sample is drawn according to a stratified sampling design, where in each stratum a simple random sample is drawn. Statistics Netherlands uses 10 x 26 strata, based on the combination of 10 size classes and 26 NACE categories. In the strata with 250 or more persons employed all enterprises are included in the sample. For other strata the sample size is determined according to the conditions determined by Eurostat: 1) The maximum half-length of a 95% confidence interval for an estimated proportion (with true value 0.5) of training enterprises is at most 20 percent of the estimated value within each stratum and 2) the expected number of training enterprises in the net sample is equal in each stratum. Assumptions about the proportions of training enterprises and the response rate within each stratum are formed based on experiences from CVTS 5. Estimation / grossing-up procedures The population totals of the target variables are estimated by means of a weighting process based on the General Regression Estimator (GREG). The non-response model is given by 1 + stratum + WP*SC2. Here 1 is the intercept, stratum is the variable indicating the stratum membership, WP is the total number of persons employed according to the Business Register and SC2 is the size class in two categories (less than 250 persons employed and 250 or more persons employed). The final weights are bounded to have a value of at least one. Calculation of coefficient of variation The coefficient of variation is the relative standard error and is equal to the ratio of the square root of the variance and estimated population total. The variance of an estimated population total is estimated by means of the usual variance estimator of the GREG, where both the finite population correction factor and the stratification are taken into account. That is, in each stratum the variance is estimated by the sample stratum variance of the residuals multiplied by the stratum finite population correction factor and divided by the stratum sample fraction. For ratios it is assumed that the denominator is a fixed value with variance zero. |
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13.2.1. Sampling error - indicators | |||
See table 13.2.1 "Sampling errors - indicators" in annex "NL - QR tables CVTS 2020 (excel)". |
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13.3. Non-sampling error | |||
No additional information. |
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13.3.1. Coverage error | |||
National Business Register of Dec 2020. This register contains (all) enterprises and their legal units in the Netherlands. Shortcomings in terms of timeliness (e.g. time lag between last update of the sampling frame and the moment of the actual sampling), geographical coverage, coverage of different subpopulations, etc. See table 13.3.1 "Coverage error" in annex "NL - QR tables CVTS 2020 (excel)". |
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13.3.1.1. Over-coverage - rate | |||
See table 13.3.1.1 "Over-coverage - rate" in annex "NL - QR tables CVTS 2020 (excel)". |
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13.3.1.2. Common units - proportion | |||
Not applicable. |
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13.3.2. Measurement error | |||
There might be measurement errors due to the use of the questionnaire and respondents may give - consciously or unconsciously - erroneous data. To prevent measurement errors, efforts were made in questionnaire design and testing, and on error reduction. |
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13.3.3. Non response error | |||
The largest Dutch enterprises were already informed early 2020 that they would be invited for CVTS 6, allowing them to keep track of CVT activities (participation and costs) in their enterprise in 2020. The fieldwork started in Q1 2021. Enterprises received a letter with the request to fill in the CVT questionnaire on internet which could be accessed with the log in code included in the letter. The letter also emphasized the mandatory nature of the survey. Non-responding enterprises were reminded two times, and after that a subset was called by phone. Finally, a selection of the non-response received a letter from our legal administration. The fieldwork officially ended on 31 December 2021. |
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13.3.3.1. Unit non-response - rate | |||
Measures to reduce non-response were: emphasis on guaranteed privacy; clear questionnaire; possibility to contact a helpdesk; sending reminders and calling subset of non-responding enterprises by phone. See table 13.3.3.1 "Unit non-response - rate" in annex "NL - QR tables CVTS 2020 (excel)". |
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13.3.3.2. Item non-response - rate | |||
See table 13.3.3.2 "Item non-response - rate" in annex "NL - QR tables CVTS 2020 (excel)". |
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13.3.4. Processing error | |||
The data were automatically checked according to the available checking rules in the manual, which were programmed in BLAISE (Manipula). The inevitable occurring errors were corrected by editing and/or imputing of data, using general correction rules. Results per stratum were constantly monitored for plausibility by comparing them to the outcomes of previous CVTS's and other sources (e.g. employment data). |
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13.3.5. Model assumption error | |||
Not applicable. |
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14.1. Timeliness | |||
No deviation. |
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14.1.1. Time lag - first result | |||
Last day reference period: 31-12-2020 First day publication: 23-6-2022 |
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14.1.2. Time lag - final result | |||
Last day reference period: 31-12-2020 First day publication: 23-6-2022 |
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14.2. Punctuality | |||
Countries should transmit data to Eurostat no later than 18 months after the end of the reference year. See table 14.2 "Project phases - dates" in annex "NL - QR tables CVTS 2020 (excel)". |
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14.2.1. Punctuality - delivery and publication | |||
Not applicable. |
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15.1. Comparability - geographical | |||
No deviations. Data provide a good geographical representation of North-, East-, West-, and South-Netherlands. No additional variables related to COVID-19 were collected. See table 15.1 "Comparability - geographical" in annex "NL - QR tables CVTS 2020 (excel)". |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable. |
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15.2. Comparability - over time | |||
Aligned with the requirements for CVTS 6, these remain unchanged compared to CVTS 5. All CVTS 5 questions are implemented in the CVTS 6 survey again. We only added several additional questions (for the ministry of Economic affairs and ministry of Education) in CVTS 6. A general remark is that COVID-19 could have had a significant impact. However, it is impossible to estimate to what degree. See table 15.2 "Comparability - over time" in annex "NL - QR tables CVTS 2020 (excel)". |
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15.2.1. Length of comparable time series | |||
Not applicable. |
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15.3. Coherence - cross domain | |||
See table 15.3 "Coherence - cross-domain" in annex "NL - QR tables CVTS 2020 (excel)". |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable. |
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15.3.2. Coherence - National Accounts | |||
Not applicable. |
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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. |
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Approximately 100 enterprises made an effort to contact Statistics Netherlands by phone or e-mail with questions concerning f.e. the content of the questionnaire, administrative questions about the deadline, COVID-19 related matters, etc. |
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17.1. Data revision - policy | |||
Not applicable. |
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17.2. Data revision - practice | |||
Not applicable. |
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17.2.1. Data revision - average size | |||
Not applicable. |
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18.1. Source data | |||
See table 18.1 "Source data and data collection" in annex "NL - QR tables CVTS 2020 (excel)". |
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18.2. Frequency of data collection | |||
Every 5 years. |
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18.3. Data collection | |||
See also table 18.1 "Source data and data collection" in annex "NL - QR tables CVTS 2020 (excel)". |
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18.4. Data validation | |||
In CVTS 6 the sampled enterprises were invited by letter to fill in the questionnaire solely online (CAWI). The data were automatically checked according to the available checking rules in the manual, which were programmed in BLAISE (Manipula). The inevitable occurring errors were corrected by editing and/or imputing of data, mainly using general correction rules. In some cases manual editing/imputing was needed. Results per stratum were constantly monitored for plausibility by comparing them to the outcomes of previous CVTS's. |
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18.5. Data compilation | |||
For imputation, see 18.5.1. |
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18.5.1. Imputation - rate | |||
See table 18.5.1 "Imputation - rate" in annex "NL - QR tables CVTS 2020 (excel)". |
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18.6. Adjustment | |||
Not applicable. |
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18.6.1. Seasonal adjustment | |||
Not applicable. |
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The overall quality of the survey is good. The question remains to what degree COVID-19 may have biased the results. The use of solely a web-based questionnaire in CVTS 6 avoids routing issues and obliges enterprises to answer in a consistent way. This improves the quality of the received data. Also the pretesting improves the quality of the questionnaire. The quantitative questions (although inevitable) were still not easy to answer by the enterprises. These questions are a fairly high burden for enterprises. This can be concluded from e.g. the received questions by the help-desk. Taking this into account, it is good that large enterprises have received a notification letter in the year prior to the survey year. In this letter they were informed that they would receive an invitation to participate in CVTS 6, early 2021, and which data they were supposed to collect concerning the reference year. |
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NL - QR tables CVTS 2020 (excel) |