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Document 32010R0822

Commission Regulation (EU) No 822/2010 of 17 September 2010 amending Regulation (EC) No 198/2006 implementing Regulation (EC) No 1552/2005 of the European Parliament and of the Council on statistics relating to vocational training in enterprises, as regards the data to be collected, the sampling, precision and quality requirements Text with EEA relevance

OJ L 246, 18.9.2010, p. 18–32 (BG, ES, CS, DA, DE, ET, EL, EN, FR, IT, LV, LT, HU, MT, NL, PL, PT, RO, SK, SL, FI, SV)
Special edition in Croatian: Chapter 16 Volume 002 P. 172 - 186

Legal status of the document In force

ELI: http://data.europa.eu/eli/reg/2010/822/oj

18.9.2010   

EN

Official Journal of the European Union

L 246/18


COMMISSION REGULATION (EU) No 822/2010

of 17 September 2010

amending Regulation (EC) No 198/2006 implementing Regulation (EC) No 1552/2005 of the European Parliament and of the Council on statistics relating to vocational training in enterprises, as regards the data to be collected, the sampling, precision and quality requirements

(Text with EEA relevance)

THE EUROPEAN COMMISSION,

Having regard to the Treaty on the Functioning of the European Union,

Having regard to Regulation (EC) No 1552/2005 of the European Parliament and of the Council of 7 September 2005 on statistics relating to vocational training in enterprises (1), and in particular Articles 7(3), 8(2) and 9(4) thereof,

Whereas:

(1)

Regulation (EC) No 1552/2005 establishes a common framework for the production of European statistics on vocational training in enterprises.

(2)

Commission Regulation (EC) No 198/2006 of 3 February 2006 implementing Regulation (EC) No 1552/2005 of the European Parliament and of the Council on statistics relating to vocational training in enterprises (2) defines the specific data to be collected with respect to the training and non-training enterprises and to the different forms of vocational training, the sampling and precision requirements, the quality requirements for the data to be collected, the structure of the quality reports.

(3)

Following the entry into force of Regulation (EC) No 1893/2006 of the European Parliament and of the Council of 20 December 2006 establishing the statistical classification of economic activities NACE Revision 2 (3), detailed NACE Rev.2 and size categories into which the results can be broken down should be adopted.

(4)

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.

(5)

Implementing measures concerning the quality requirements for the data to be collected and transmitted for European 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.

(6)

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 (4) defines a new statistical instrument on the participation of adults in lifelong learning.

(7)

In light of the information to be made available through Regulation (EC) No 452/2008 as well as of the need to improve the quality of the results on vocational training in enterprises and lower the statistical burden on enterprises, it is appropriate to modify the codification scheme, sampling, precision and quality requirements.

(8)

Regulation (EC) No 198/2006 should therefore be amended accordingly.

(9)

The measures provided for in this Regulation are in accordance with the opinion of the European Statistical System Committee,

HAS ADOPTED THIS REGULATION:

Article 1

Annexes I, II, III and V to Regulation (EC) No 198/2006 are replaced by the text set out in the Annex to this Regulation.

Article 2

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, 17 September 2010.

For the Commission

The President

José Manuel BARROSO


(1)  OJ L 255, 30.9.2005 p. 1.

(2)  OJ L 32, 4.2.2006, p. 15.

(3)  OJ L 393, 30.12.2006, p. 1.

(4)  OJ L 145, 4.6.2008, p. 227.


ANNEX

1.

Annex I to Regulation (EC) No 198/2006 is replaced by the following:

‘ANNEX I

VARIABLES

Note to the table:

The values “core” and “key” in the column “variable group” are explained in Annex III. The value “ID” means that the variable is an “identification variable” (no missing allowed). In the column “variable type” the value “QL” refers to “Qualitative variable” of type Yes/No, “QM” to “Qualitative variable” with multiple categories as described in the table and “QT” refers to “Quantitative variable”. CVT stands for Continuing Vocational Training. NACE refers to economic activity according to NACE Rev 2.

1.   Variables to be collected from all enterprises: sample characteristics

Variable name

Variable group

Variable type

Variable description

COUNTRY

ID

 

Country code

REGION

ID

 

Region identification NUTS — level 1

REFYEAR

ID

 

Reference year

RESPID

ID

 

Enterprise ID

RESPWEIGHT

ID

 

Weighting factor Two decimal positions — use “.” as decimal separator

RESPEXTRA1

ID

 

Extra variable 1 (see Annex III)

RESPEXTRA2

ID

 

Extra variable 2 (see Annex III)

RESPEXTRA3

ID

 

Extra variable 3 (see Annex III)

SP_NACE

ID

 

Sampling plan economic activity category

SP_SIZE

ID

 

Sampling plan size group

SP_NSTRA

ID

 

Sampling plan – Number of enterprises in the stratum defined by NACE_SP and SIZE_SP, i.e. the population

SP_N

ID

 

Sampling plan — Number of sampled enterprises from the sample-frame in the stratum defined by NACE_SP and SIZE_SP

SP_SUB

ID

 

Sub-sample indicator, shows if enterprise belongs to sub-sample

N_RESPST

ID

 

Number of responding enterprises in the stratum defined by NACE_SP and SIZE_SP

N_EMPREG

ID

 

Number of persons employed according to the register

INTRESP

ID

 

Response indicator (sampling unit type)

INTMETHOD

ID

 

Data collection mode

INTLANG

ID

 

Language of data collection

2.   Variables to be collected from all enterprises: background data

Variable name

Variable group

Variable type

Variable description

A1

Core

QL

Actual NACE CODE

A2tot

Core

QT

Total number of persons employed on 31 December of the reference year

A2m

 

QT

Total number of males employed on 31 December of the reference year

A2f

 

QT

Total number of females employed on 31 December of the reference year

A3

Key

QT

Total number of persons employed on 31 December of the previous year

A4

Key

QT

Total number of hours worked in the reference year by persons employed

A5

Key

QT

Total labour costs (direct + indirect) of all persons employed in the reference year

A6

 

QL

Introduction of any new or significantly new improved products or services or methods of producing or delivering products and services during the reference year.

3.   Variables to be collected from all enterprises: CVT strategies

Variable name

Variable group

Variable type

Variable description

A7

 

QL

Own or shared training centre

A8

 

QL

Person or unit within the enterprise with responsibility for the organisation of CVT

A9

 

QL

Assessment of future skill needs of the enterprise

A10

 

QM

Reaction to future needs through

 

 

 

Continuing vocational training of current staff

 

 

 

Recruitment of new staff with the suitable qualifications, skills and competences

 

 

 

Recruitment of new staff combined with specific training

 

 

 

Internal reorganisation to better use existing skills and competences

A11a

 

QM

Reviews of future skill and training needs of individual employees

 

 

 

Yes, mainly by way of structured interviews

 

 

 

Yes, but mainly by way of other methods

 

 

 

No

A11b

 

QM

The reviews of future skill and training needs of individual employees focus on:

 

 

 

Occupations or groups of occupations

 

 

 

Skills and competences

 

 

 

Working tasks and activities

 

 

 

Formal qualifications

A12

 

QM

Skills and competences important in the next few years

 

 

 

General IT skills

 

 

 

IT professional skills

 

 

 

Management skills

 

 

 

Team working skills, customer handling skills, social skills

 

 

 

Problem solving skills

 

 

 

Office administration skills

 

 

 

Foreign language skills

 

 

 

Technical, practical or job-specific skills

 

 

 

Oral or written communication skills

 

 

 

Numeracy and/or literacy skills

 

 

 

None of these

 

 

 

Do not know

A13

 

QL

Planning of CVT in the enterprise lead to a written training plan or programme

A14

 

QL

Annual training budget, which includes provision for CVT

A15

 

QL

National, sector or other agreements between the social partners, which cover the provision of CVT

A16a

 

QL

Staff representatives/committees involved in the management process of continuing vocational training

A16b

 

QM

Aspects covered by staff representatives/committees

 

 

 

Objective setting of training

 

 

 

Establishing criteria for the selection of participants or specific target groups

 

 

 

Form/type of training (e.g. internal/external courses; other forms such as guided on-the-job training)

 

 

 

Content of training

 

 

 

Budget for training

 

 

 

Selection of external training providers

 

 

 

Evaluation/assessment of training outcomes

A17

 

QM

Sources of information about CVT

 

 

 

Public information centres/services and authorities

 

 

 

Private training providers

 

 

 

Personnel/staff representatives

 

 

 

Others

 

 

 

Do not use any such source of information

4.   Variables to be collected from all enterprises: CVT characteristics

Variable name

Variable group

Variable type

Variable description

B1a

Core

QL

Provision of internal CVT courses in the reference year

B1b

Core

QL

Provision of external CVT courses in the reference year

B2a

Core

QL

Provision of guided on-the-job training in the reference year

 

 

QT

Number of participants in guided on-the-job training

B2b

Core

QL

Provision of job rotation in the reference year

 

 

QT

Number of participants: job-rotation, exchanges, secondments or study visits

B2c

Core

QL

Attendance at conferences/workshops in the reference year

 

 

QT

Number of participants in conferences/workshops

B2d

Core

QL

Participation in learning and quality circles in the reference year

 

 

QT

Number of participants in learning or quality circles

B2e

Core

QL

Planned training by self-directed learning/e-learning in the reference year

 

 

QT

Number of participants in self-directed learning/e-learning

B3

 

QL

Provision of CVT courses in the year before the reference year

B4

 

QL

Provision of other forms of CVT in the year before the reference year

B5a

 

QL

Existence of CVT contributions in the reference year

 

 

QT

Amount of contributions CVT (in euros)

B5b

 

QL

Existence of CVT receipts in the reference year

 

 

QT

Amount of receipts CVT (in euros)

B6

 

QM

Measures the enterprise benefits from

 

 

 

Tax incentives (tax allowances, tax exemptions, tax credits, tax relief, tax deferrals)

 

 

 

Receipts from training funds (national, regional, sector)

 

 

 

EU subsidies (e.g. European Social Fund)

 

 

 

Government subsidies

 

 

 

Other sources

 

 

 

None of these

The following sections 5 and 6 shall be addressed to enterprises providing CVT courses in the reference year [(B1a or B1b) = YES].

Section 7 shall be addressed to all training enterprises in the reference year, i.e.:

enterprises providing CVT courses in 2010 [(B1a or B1b) = YES], or

enterprises providing other forms of CVT [(B2a or B2b or B2c or B2d or B2e) = YES].

Section 8 shall be addressed to non-training enterprises.

5.   Variables to be collected from enterprises which provided CVT courses: CVT participants, subjects and providers

Variable name

Variable group

Variable type

Variable description

C1tot

Key

QT

Total number of CVT course participants

C2m

 

QT

Number of CVT course participants — males

C2f

 

QT

Number of CVT course participants — females

C3tot

Key

QT

Paid working time (in hours) spent on all CVT courses

C3i

 

QT

Paid working time (in hours) for internal CVT courses

C3e

 

QT

Paid working time (in hours) for external CVT courses

C4

 

QT

Share of training hours spent on obligatory courses for health and safety at work

C5

 

QL

Subjects covered

 

 

 

General IT skills

 

 

 

IT professional skills

 

 

 

Management skills

 

 

 

Team working skills, customer handling skills, social skills

 

 

 

Problem solving skills

 

 

 

Office administration skills

 

 

 

Foreign language skills

 

 

 

Technical, practical or job-specific skills

 

 

 

Oral or written communication skills

 

 

 

Numeracy and/or literacy skills

 

 

 

None of these

C5Main

 

QL

Main subject (with respect to volume of training hours)

C6

 

QL

Providers (external courses)

 

 

 

Schools, colleges, universities and other higher education institutions

 

 

 

Public training institutions (financed or guided by the government; e.g. adult education centre)

 

 

 

Private training companies

 

 

 

Private companies whose main activity is not training

 

 

 

Employer’s associations, chambers of commerce, sector bodies

 

 

 

Trade unions

 

 

 

Other training providers

C6Main

 

QL

Main provider (with respect to volume of training hours)

6.   Variables to be collected from enterprises which provided CVT courses: CVT costs

Variable name

Variable group

Variable type

Variable description

C7a

 

QL

Existence of fees

 

 

QT

CVT course costs — fees and payments for courses for employees (in euros)

C7b

 

QL

Existence of travel costs

 

 

QT

CVT course costs — travel and subsistence payments (in euros)

C7c

 

QL

Existence of labour costs of internal trainers

 

 

QT

CVT course costs — labour costs of internal trainers (in euros)

C7d

 

QL

Existence of costs of training centre and teaching materials etc.

 

 

QT

CVT course costs — training centre, or rooms and teaching materials for CVT courses (in euros)

C7sub

 

QL

Existence of “Sub-total only” (no sub-categories)

 

Key

QT

CVT costs sub-total (in euros)

PAC

Key

QT

Personal absence cost — to be calculated (PAC=C3tot*A5/A4 in euros)

C7tot

Key

QT

Total cost CVT — to be calculated (C7sub + B5a – B5b (in euros)

7.   Variables to be collected from enterprises which provided CVT courses or other forms of CVT: CVT quality, outcomes and difficulties

Variable name

Variable group

Variable type

Variable description

D1

 

QM

Aspects considered to ensure the quality of CVT

 

 

 

Certification of external providers (e.g. use of national registers)

 

 

 

Continuous training of internal trainers

 

 

 

Continuing vocational training and certification is based on national/sector recognised standards or frameworks

 

 

 

Others

 

 

 

No particular aspect considered

D2a

 

QM

Assessment of the outcomes of CVT activities

 

 

 

Yes, for all activities

 

 

 

Yes, for some activities

 

 

 

No, proof of participation is sufficient

D2b

 

QM

Methods of assessment

 

 

 

Certification after written or practical test

 

 

 

Satisfaction survey amongst participants

 

 

 

Assessment of participants’ behaviour or performance in relation to training objectives

 

 

 

Assessment/measurement of the impact of training on performance of relevant departments or the whole enterprise

 

 

 

Other

D3

 

QM

Factors limiting CVT provision in the reference year

 

 

 

No limiting factor: level of training provided was appropriate to the enterprises needs

 

 

 

Recruitment of individuals with the required qualifications, skills and competencies

 

 

 

Difficulties in assessing training needs in the enterprise

 

 

 

Lack of suitable offerings of CVT courses in the market

 

 

 

High costs of CVT courses

 

 

 

Higher focus on IVT provision than on CVT

 

 

 

Major efforts in CVT realised in recent years

 

 

 

Limited time available for staff to participate in CVT

 

 

 

Other reasons

8.   Variables to be collected from non-training enterprises: reasons for the non-provision of CVT activities

Variable name

Variable group

Variable type

Variable description

E1

 

QM

Reasons for not providing CVT in the reference year

 

 

 

The existing qualifications, skills and competences were appropriate to the current needs of the enterprise

 

 

 

Recruitment of individuals with the required qualifications, skills and competencies was preferred

 

 

 

Difficulties in assessing training needs in the enterprise

 

 

 

Lack of suitable offerings of CVT courses in the market

 

 

 

High costs of CVT courses

 

 

 

Higher focus on IVT provision than on CVT

 

 

 

Major efforts in CVT realised in recent years

 

 

 

No time available for staff to participate in CVT

 

 

 

Other reasons

9.   Variables to be collected from all enterprises: IVT

Variable name

Variable group

Variable type

Variable description

F1tot

Core

QT

Total number of IVT participants in the enterprise during the reference year

F2

 

QM

Reasons for providing IVT (if F1Tot > 0)

 

 

 

To qualify future employees according to the needs of the enterprise

 

 

 

To choose the best apprentices for future employment after completion of initial vocational training

 

 

 

To avoid possible mismatch with enterprise needs in case of external recruitment

 

 

 

To make use of the productive capacities of IVT participants already during their initial vocational training

 

 

 

Other (e.g. to make the enterprise more attractive to potential staff)

Optional variables

Member States can transmit complementary variables to the Commission (Eurostat) on an optional basis in a harmonised format as described in the “European Union Manual” referred to in Article 8.’;

2.

Annex II to Regulation (EC) No 198/2006 is replaced by the following:

‘ANNEX II

SAMPLE

1.

Business registers referred to in Regulation (EC) No 177/2008 of the European Parliament and of the Council of 20 February 2008 establishing a common framework for business registers for statistical purposes (1) shall be taken as the main source of the sampling frame. A nationally representative stratified probability sample of enterprises shall be taken from this frame.

2.

The sample shall be stratified by NACE Rev.2 and size category according to the following minimum specification:

20 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, G(45), G(46), G(47), I, H, J, K(64,65), K(66), L+M+N+R+S],

Member States can cover other sectors and use additional categories for the stratification (e.g. O, P, and Q) on an optional basis,

3 enterprise size categories, according to their number of persons employed: (10-49) (50-249) (250 and more) for countries with fewer than 50 million inhabitants,

6 enterprise size categories, according to their number of persons employed: (10-19) (20-49) (50-249) (250-499) (500-999) (1 000 and more) for Member States with 50 million inhabitants and more.

3.

A sample size shall be calculated to assure a maximum half-length of the 95 % confidence interval of 0,2 for the estimated parameters, which are a proportion of “training enterprises” (after allowance for the non-response rate in the sample) for each of the 60 stratified elements identified above (120 stratified elements for Member States with 50 million inhabitants and more).

4.

The following formula may be used in determining the sample size:

nh = 1/[c2 × teh + 1/Nh] / rh

Where:

rh

=

the anticipated response rate in the stratum cell, h

c

=

maximum length of half the confidence interval

teh

=

the anticipated proportion of training enterprises in the stratum cell, h

Nh

=

the total number of enterprises (training and non-training) in the stratum cell, h

3.

Annex III to Regulation (EC) No 198/2006 is replaced by the following:

‘ANNEX III

Imputation principles and record weighting

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, A2tot, B1a, B1b, B2a(QL), B2b(QL) B2c(QL), B2d(QL) B2e(QL), F1tot.

Key variables, for which every effort should be made to avoid missing values and for which imputation is recommended are:

A3, A4, A5, C1tot, C3tot, C7sub, C7tot, PAC.

Imputation for item non-response shall be recommended within the following general limits:

1.

When a record contains less than 50 % of variables presented then this record shall normally be considered as a unit non-response.

2.

For a single NACE Rev.2/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.

3.

For a single NACE Rev.2/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 %.

4.

For a single NACE Rev.2/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 I.

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 RESPEXTRA1, RESPEXTRA2, RESPEXTRA3 as necessary. The methodology adopted for establishing the weights shall be detailed in the quality report.’;

4.

Annex V to Regulation (EC) No 198/2006 is replaced by the following:

‘ANNEX V

QUALITY REPORT FORMAT

Member States shall submit quality reports to be written according to a standard quality-reporting format provided by the Commission (Eurostat). A copy of the national questionnaire shall accompany the quality report.

1.   RELEVANCE

Implementation of the survey and the degree to which statistics meet current and potential users’ needs. This covers a description of users and their individual needs as well as an evaluation of to what degree these needs have been satisfied.

2.   ACCURACY

2.1.   Sampling errors

This covers:

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 particular, 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 Rev.2 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 Rev.2 and size classes according to the national sampling plan, however allocation according to the observed enterprise characteristics):

Coefficients of variation (2) 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, ratio of the total number of enterprises providing IVT to the total number of enterprises.

2.2.   Non-sampling errors

2.2.1.   Coverage errors

This covers:

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 and notes on the processing of misclassifications.

Tables to be provided (broken down by NACE Rev.2 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.

2.2.2.   Measurement errors

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).

Reporting unit/respondent considering the data collection mode used (e.g. problems and strategies to find the appropriate respondent(s) in the enterprise, memory problems, errors when filling the forms, assistance to the respondent). This includes a description and assessment of measures taken to assure the high quality of the information related to “participants” and to assure that “participant events” were not collected.

Existence/use of relevant information systems and administrative records in the enterprise, e.g. correspondence between the administrative and survey concept (reference period, availability of individual data).

Methods used to reduce this kind of errors, problems with the questionnaire as a whole or with single questions.

2.2.3.   Processing errors

This covers a description of the data editing process such as processing system and tools used, errors due to coding, editing, weighting or tabulation, quality checks at macro/micro level and corrections/failed edits.

2.2.4.   Non-response errors

This covers an assessment of unit non-response and item non-response and a description of the measures undertaken regarding “re-contacts” as well as:

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 Rev.2 and size classes according to the national sampling plan, however allocation according to the observed enterprise characteristics):

Unit response rates (3).

Item response rates (4) for the following with respect to all respondents: total number of hours work as a function of all respondents and total labour cost as a function of all respondents.

Item response rates for the following with respect to 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 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 number of participants in IVT as a function of enterprises offering IVT.

3.   TIMELINESS AND PUNCTUALITY

This covers a table of dates when each of the following phases of the project started and ended such as fieldwork (considering the different data collection modes), reminders and follow-up, data checking and editing, further validation and imputation, non-response survey (as appropriate) and estimations as well as data transmission to Eurostat and dissemination of national results.

4.   ACCESSIBILITY AND CLARITY

This covers the type of results sent to enterprises, a dissemination scheme of results and a copy of any methodological documents relating to the statistics provided.

5.   COMPARABILITY

This covers the deviations from the standard European questionnaire and definitions provided in the manual referred to in Article 8 and a description of links done with other statistical sources (use of certain data available in registers, survey linked to another national survey).

6.   COHERENCE

This covers a comparison of statistics for the same phenomenon or item from other surveys or sources and an assessment of coherence with structural business statistics for the number of persons employed as a function of NACE Rev.2 and Size Group.

Tables to provide (broken down by NACE Rev.2 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 and number of persons employed from CVTS.

Percentage of differences (SBS — CVTS)/SBS.

7.   COST AND BURDEN

This covers an analysis of the burden and benefit at national level through, for example, a consideration of average time for answering to each questionnaire, problematic questions and variables, variables most/least useful in describing CVT at national level, estimated or actual satisfaction level of data users at national level, difference of burden between for small and large enterprises and efforts made to reduce burden.


(1)  OJ L 61, 5.3.2008, p. 6.’;

(2)  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.

(3)  The unit response rate is the ratio of the number of in scope respondents to the number of questionnaires sent to the population selected.

(4)  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).’


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