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Commission Regulation (EC) No 198/2006 of 3 February 2006 implementing Regulation (EC) No 1552/2005 of the European Parliament and the Council on statistics relating to vocational training in enterprises (Text with EEA relevance)
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THE COMMISSION OF THE EUROPEAN COMMUNITIES,
Having regard to the Treaty establishing the European Community,
Having regard to Regulation (EC) No 1552/2005 of the European Parliament and the Council of 7 September 2005 on statistics relating to vocational training in enterprises(1), and in particular Articles 7(3), 8(2), 9(4), 10(2), and 11(3) thereof,
Whereas:
(1) Regulation (EC) No 1552/2005 establishes a common framework for the production of Community statistics on vocational training in enterprises.
(2) In order to implement Regulation (EC) No 1552/2005, measures concerning the sampling and precision requirements and sample size needed to meet these requirement, and the detailed NACE and size categories into which the results can be broken down, should be adopted.
(3) The Commission should define the specific data to be collected with respect to the training and non-training enterprises and to the different forms of vocational training.
(4) Implementing measures concerning the quality requirements for the data to be collected and transmitted for Community statistics on vocational training in enterprises, the structure of the quality reports and any measures necessary for assessing or improving the quality of the data should be adopted.
(5) The first reference year for which the data are to be collected should be established.
(6) Provisions should also be adopted concerning the appropriate technical format and interchange standard of the electronically transmitted data.
(7) The measures provided for in this Regulation are in accordance with the opinion of the Statistical Programme Committee,
HAS ADOPTED THIS REGULATION:
This Regulation lays down measures to implement Regulation (EC) No 1552/2005 on statistics relating to vocational training in enterprises.
The first reference year for which the data are to be collected shall be the calendar year 2005.
The specific variables to be transmitted to the Commission (Eurostat) shall be as specified in Annex I.
Sampling and precision requirements, the sample sizes needed to meet these requirements, and the detailed specifications of the NACE and size categories into which the results can be broken down shall be as specified in Annex II.
Member States shall be responsible for data checking, error correction, imputation and weighting.
Imputation and weighting of variables shall follow the principles laid down in Annex III. Derogation from these principles shall be fully justified and reported in the quality report.
Data shall be transmitted to the Commission (Eurostat) by the means and in the format specified in Annex IV.
Each Member State shall perform a quality evaluation of its data, to be presented in the form of a quality report. The quality report shall be prepared and presented to the Commission (Eurostat) in accordance with the format specified in Annex V.
With a view to achieving a high level of harmonisation of the survey results across countries, the Commission (Eurostat) in close cooperation with Member States, shall propose methodological and practical recommendations and guidelines for the implementation of the survey in the form of a ‘European Union Manual’.
This Regulation shall enter into force on the 20th day following its publication in the Official Journal of the European Union.
This Regulation shall be binding in its entirety and directly applicable in all Member States.
Done at Brussels, 3 February 2006.
For the Commission
Joaquín Almunia
Member of the Commission
20 NACE rev1.1 categories (C, D (15-16, 17-19, 21-22, 23-26, 27-28, 29-33, 34-35, 20 + 36-37), E, F, G (50, 51, 52), H, I (60-63, 64), J (65-66, 67), K + O)
3 enterprise size categories, according to their number of persons employed: (10-49) (50-249) (250 and more)
nh = 1/[c2 . teh + 1/Nh] / rh
Where:
=
the number of sampling units in the stratum cell, h
=
the anticipated response rate in the stratum cell, h
=
maximum length of half the confidence interval
=
the anticipated proportion of training enterprises in the stratum cell, h
=
the total number of enterprises (training and non-training) in the stratum cell, h
Countries shall take all appropriate measures to reduce item and unit non-response. Prior to imputation countries shall make all reasonable efforts to use other data sources.
Core variables, for which no missing value shall be accepted, nor imputation permitted are:
A1, A2tot05, B1a, B1b, B2aflag, B2bflag, B2cflag, B2dflag, B2eflag, F1tot05.
Key variables, for which every effort should be made to avoid missing values and for which imputation is recommended are:
A2tot04, A4, A5, C1tot, C3tot, C4tot, C7sub, C7tot, PAC, F2tot.
Imputation for item non-response shall be recommended within the following general limits (Member State experts should at all times apply their professional judgement in the application of these rules):
When a record contains less than 50 % of variables presented then this record shall normally be considered as a unit non-response.
For a single NACE/size cell imputations shall not be allowed if more than 50 % of the responding enterprises have missing data for more than 25 % of the quantitative variables.
For a single NACE/size cell no imputation shall be performed on a quantitative variable if the proportion of responding enterprises for that particular variable is less than 50 %.
For a single NACE/size cell no imputation shall be performed on a qualitative variable if the proportion of responding enterprises for that particular variable is less than 80 %.
Quantitative and qualitative variables are identified in Annex 1.
Departures from these principals shall be fully documented and justified in the national quality report.
Member States shall calculate and transmit a weight to be applied to each data record together with any auxiliary variables, which may have been used in the calculation of this weight. These auxiliary variables should be recorded as the variables EXTRA1, EXTRA2, EXTRA3 as necessary. The methodology adopted for establishing the weights shall be detailed in the quality report.
Data shall be transmitted to the Commission (Eurostat) in electronic form by means of a secure data transmission software application (STADIUM/EDAMIS) to be made available by the Commission (Eurostat).
Countries shall transmit two checked data sets to ESTAT:
the data set prior to imputation with preliminary checks;
the fully checked data set after imputation.
Both data sets shall contain the variables identified in Annex 1.
Both files shall be presented in comma separated variable (.csv) format. The first record in each file shall be a header record containing the ‘variable names’ as defined in Annex 1. Subsequent records shall detail the values of these variables for each responding enterprise.
Implementation of the survey and the degree to which statistics meet current and potential user’s needs.
Description and classification of users.
Individual needs of each user group.
Evaluation if and to what degree these needs have been satisfied.
Description of the sample design and the realised sample.
Description of the calculation of the final weights including non-response model and auxiliary variables used.
Estimator used, e.g. Horvitz-Thompson estimator.
Variance of the estimates according to the sample strata.
Variance estimation software.
In particularly, a description of the auxiliary variables or information used should be reported in order to recalculate the final weights within Eurostat since it is needed for variance estimation.
In case of non-response analysis, a description of the biases in the sample and results.
Tables to be provided (broken down by NACE and size classes according to the national sampling plan):
Number of enterprises in the sampling frame.
Number of enterprises in the sample.
Tables to be provided (broken down by NACE and size classes according to the national sampling plan, however allocation according to the observed enterprise characteristics):
Coefficients of variation(3) for the following key statistics.
Total number of persons employed.
Total number of enterprises that provided CVT.
Ratio of the total number of enterprises that provided CVT to the total number of enterprises.
Total number of enterprises that provided CVT courses.
Ratio of the total number of enterprises that provided CVT courses to the total number of enterprises.
Total number of persons employed in enterprises that provided CVT.
Total number of participants in CVT courses.
Ratio of the total number of participants in CVT courses to the total number of persons employed.
Ratio of the total number of participants in CVT courses to the total number of persons employed in enterprises that provided CVT.
Total costs of CVT courses.
Total number of enterprises providing IVT.
Total number of participants in IVT.
Total costs of IVT.
Ratio of the total number of enterprises providing IVT to the total number of enterprises.
Description of the register used for sampling, and its overall quality.
Information included in the register, and its updating frequency.
Errors due to the discrepancies between the sampling frame and the target population and sub-populations (over-coverage, under-coverage, misclassifications).
Methods used to obtain this information.
Notes on the processing of misclassifications.
Tables to be provided (broken down by NACE and size classes according to the national sampling plan, however allocation according to the observed enterprise characteristics):
Number of enterprises.
Ratio of the number of enterprises for which the observed strata equals the sampling strata: the number of enterprises in the sampling strata. Indicate whether the changes of activities have been taken into account.
Where appropriate an assessment of errors that occurred at the stage of data collection due for example to:
The questionnaire design (results of pre-tests or laboratory methods; questioning strategies) — questionnaire to be submitted in annex.
Reporting unit/respondent (reactions of respondents):
Memory errors.
Lack of attention of the respondents.
Effects of age, education etc.
Errors when filling the forms.
Information system of the respondent and the use of administrative records (correspondence between the administrative and survey concept, e.g. Reference period, availability of individual data).
Modes of data collection (comparison of different data collection methods).
Interviewer characteristics and behaviour.
Socio-economic characteristics.
Different ways of administering the questionnaire.
Different assistance to the respondent.
Specific studies or techniques to assess these errors.
Methods used to reduce this kind of errors.
Detailed comments on problems with the questionnaire as a whole or with single questions (comments on all variables).
Description and assessment of measures taken to assure the high quality of ‘participants’ and to assure that ‘participant events’ were not collected.
Description of the data editing process.
Processing system and tools used.
Errors due to coding, editing, weighting, and tabulation etc.
Quality checks at macro/micro level.
Corrections and failed edits breakdown into missing values, errors and anomalies.
A description of the measures undertaken regarding ‘re-contacts’.
Unit and item response rates.
Assessment of unit non-response.
Assessment item non-response.
Full report on imputation procedures including methods used for imputation and/or re-weighting.
Methodological notes and results of non-response analysis or other methods to assess the effects of non-response.
Tables to be provided (broken down by NACE and size classes according to the national sampling plan, however allocation according to the observed enterprise characteristics):
Unit response rates(4).
Item response rates(5) for the following with respect to all respondents.
Total number of hours work as a function of all respondents.
Total labour cost as a function of all respondents.
Item response rates for the following with respect to enterprises offering CVT courses.
CVT courses by specific age groups as a function of enterprises offering CVT courses.
Total number of participants in courses, males, females as a function of enterprises offering CVT courses.
Total number of hours on CVT courses, males, females as a function of enterprises offering CVT courses.
Number of hours on CVT courses managed internally and externally as a function of enterprises offering CVT courses.
Total costs of CVT courses as a function of enterprises offering CVT courses.
Item response rates for the following with respect to enterprises offering IVT.
Total costs of IVT as a function of enterprises offering IVT.
Table of dates when each of the following phases of the project started and ended.
Data collection.
Sending out questionnaires.
Reminders and follow-up.
Face-to-face interviews.
Data checking and editing.
Further validation and imputation.
Non-response survey (as appropriate).
Estimations.
Data transmission to Eurostat.
Dissemination of national results.
What results where or will be sent to enterprises.
Dissemination scheme of results.
Copy of any methodological documents relating to the statistics provided.
As appropriate and relevant countries should comment upon.
Deviations from the European questionnaire.
Was the survey linked to another national survey.
To what extent was the survey realised through existing data in registers.
Definitions and recommendations.
Comparison of statistics for the same phenomenon or item from other surveys or sources.
Assessment of coherence with structural business statistics for the number of persons employed as a function of NACE and Size Group.
Assessment of the coherence of the age group distribution of persons employed (A3a,A3b,A3c) with other national data sources as a function of NACE and size group (if available).
Assessment of the coherence of the age group distribution of CVT participants (C2a,C2b,C2c) with other national data sources as a function of NACE and size group (if available).
Tables to provide (broken down by NACE and size classes according to the national sampling plan, however allocation according to the observed enterprise characteristics):
Number of persons employed from Structural Business Statistics (Commission Regulation (EC) No 2700/98(6) — code 16 11 0).
Number of persons employed from CVTS3.
Percentage of differences (SBS — CVTS3)/SBS.
Number of persons employed for each age group A3a,A3b,A3c.
Number of persons employed in other source for each age group.
Percentage of differences of (A3x — other national source A3x)/A3x (where x = a, b, c).
Number of CVT participants for each age group C2a,C2b,C2c.
Number of CVT participants in other source for each age group.
Percentage of CVT participants (C2x — other national source of C2x)/C2x (where x = a, b, c).
Analysis of the burden and benefit at the national level through for example a consideration of:
Average time for answering to the each questionnaire.
Problematic questions and variables.
Which variables have been most/least useful in describing CVT at the national level.
Estimated or actual satisfaction level of data users at the national level.
Different burden for small and large enterprises.
Efforts made to reduce burden.
OJ L 196, 5.8.1993, p. 1. Regulation as amended by Regulation (EC) No 1882/2003 of the European Parliament and of the Council (OJ L 284, 31.10.2003, p. 1).
The coefficient of variation is the ratio of the square root of the variance of the estimator to the expected value. It is estimated by the ratio of the square root of the estimate of the sampling variance to the estimated value. The estimation of the sampling variance must take into account the sampling design and changes of strata.
The unit response rate is the ratio of the number of in scope respondents to the number of questionnaires sent to the population selected.
The item response rate for a variable is the ratio of the number of available data to the number of available and missing data (equal to the number of in scope respondents).
OJ L 344, 18.12.1998, p. 49. Regulation as last amended by Regulation (EC) No 1670/2003 (OJ L 244, 29.9.2003, p. 74).
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