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)
Date: 2006-02-03
Institutions: European Commission
Subjects: EU statistics, employment statistics, in-service training, statistical method, type of business

4.2.2006

EN

Official Journal of the European Union

L 32/15

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)

THE COMMISSION OF THE EUROPEAN COMMUNITIES,

Having regard to the Treaty
Community,

establishing the European

(6)

(7)

Provisions should also be adopted concerning the appro-
priate technical format and interchange standard of the
electronically transmitted data.

The measures provided for in this Regulation are in
accordance with
Statistical
the
Programme Committee,

opinion

the

of

the
Having regard to Regulation (EC) No 1552/2005 of
European Parliament and the Council of 7 September 2005
training in enterprises (1),
on statistics relating to vocational
and in particular Articles 7(3), 8(2), 9(4), 10(2), and 11(3)
thereof,

HAS ADOPTED THIS REGULATION:

Whereas:

(1)

(2)

(3)

(4)

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

the

concerning

In order to implement Regulation (EC) No 1552/2005,
precision
measures
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.

sampling

and

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.

concerning

Implementing measures
quality
requirements for the data to be collected and transmitted
for Community statistics on vocational training in enter-
the quality reports and any
prises,
measures necessary for assessing or
improving the
quality of the data should be adopted.

the structure of

the

Article 1

This Regulation lays down measures to implement Regulation
(EC) No 1552/2005 on statistics relating to vocational training
in enterprises.

Article 2

The first reference year for which the data are to be collected
shall be the calendar year 2005.

Article 3

The specific variables to be transmitted to the Commission
(Eurostat) shall be as specified in Annex I.

Article 4

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.

Article 5

Member States shall be responsible for data checking, error
correction, imputation and weighting.

(5)

The first reference year for which the data are to be
collected should be established.

(1) OJ L 255, 30.9.2005, p. 1.

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.

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Official Journal of the European Union

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Article 6

Article 8

Data shall be transmitted to the Commission (Eurostat) by the
means and in the format specified in Annex IV.

Article 7

Each Member State shall perform a quality evaluation of its
data, to be presented in the form of a quality report. The
shall be prepared and presented to the
quality report
Commission (Eurostat)
format
specified in Annex V.

in accordance with

the

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 methodo-
logical and practical recommendations and guidelines for the
the survey in the form of a ‘European
implementation of
Union Manual’.

Article 9

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

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ANNEX I

VARIABLES

Note to the table:
The value ‘core’ and ‘key’ in the column ‘variable group’ are explained in Annex III.
The value ‘ID’ means that the variable is an ‘identification variable’.
In the column ‘variable type’ the value ‘QL’ refers to ‘Qualitative variable’ and ‘QT’ refers to ‘Quantitative variable’.

Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

COUNTRY

ENTERPR

WEIGHT

NACE_SP

SIZE_SP

NSTRA_SP

N_SP

ID

ID

ID

ID

ID

ID

ID

SUB_SP

ID

N_RESPST

ID

N_EMPREG

ID

RESPONSE

PROC

IDLANGUA

IDREGION

EXTRA1

EXTRA2

EXTRA3

ID

ID

ID

ID

ID

ID

ID

A1

Core

QL

A2tot04

Key

QT

2

6

Char

Country code

Num

Enterprise ID

No missing — Unique by Country

No missing — Unique by case

10

Num

Two decimal positions — Use ‘.’ as decimal
separator

No missing

4

1

5

5

1

5

6

1

2

2

3

10

10

10

4

6

Num

Sampling plan NACE — Category economic
activity

No missing

Num

Sampling plan size group

Num

Num

Num

Num

Num

No missing

No missing

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

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

No missing

Sub-sample indicator,
belongs to sub-sample

shows

if enterprise

No missing

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

No missing

Number of persons employed according to
the register

Num

Response indicator

No missing

Num

Record data collection method

No missing

Char

Language identification

Char

Region identification NUTS — Level 1

No missing

Num

Extra variable 1

Num

Extra variable 2

Num

Extra variable 3

Num

Actual NACE CODE

Core variable — No missing —
No imputation

Num

number

Total
31.12.2004

of

persons

employed

Key variable — No missing

A2m05

A2f05

A3a

A3b

A3c

A4

A4m

A4f

A5

A6

B1a

B1b

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4.2.2006

Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

A2tot05

Core

QT

QT

QT

QT

QT

QT

QT

QT

Key

6

6

6

6

6

6

Num

Num

Num

Num

Num

Num

number

Total
31.12.2005

Total
31.12.2005

number

number

Total
31.12.2005

of

persons

employed

Core variable — No missing — No
imputation

of males

employed

of

females

employed

Persons employed — Under 25 years of age

Persons employed — 25 to 54 years of age

Persons employed — 55 years and older

12

Num

Total number of hours worked in the
reference year 2005 by persons employed

Key variable — No missing — in hours

12

Num

Total number of hours worked in the
reference
year 2005 by male persons
employed

In hours

QT

12

Num

Total number of hours worked in the
reference year 2005 by female persons
employed

In hours

Key

QT

12

Num

labour costs (direct + indirect) of all

Total
persons employed in the ref year 2005

Key variable — No missing — in euro

QL

1

Num

SIGNIFICANTLY
technologically
new
improved products or services or methods
of producing or delivering products and
services during the reference year

Core

QL

Core

QL

B2aflag

Core

QL

B2a

QT

B2bflag

Core

QL

B2b

QT

B2cflag

Core

QL

B2c

QT

1

1

1

6

1

6

1

6

Num

Internal CVT courses

Num

External CVT courses

Num

Flag — On-the-job training

Core variable — No missing — No
imputation

Core variable — No missing — No
imputation

Core variable — No missing — No
imputation

Num

Participants in other form of CVT — On-
the-job training

Num

Flag — Job rotation

Core variable — No missing — No
imputation

Num

Participants in other form of CVT — Job-
rotation, exchanges, secondments or study
visits

Num

Flag — Learning and quality circles

Core variable — No missing — No
imputation

Num

Participants
Learning or quality circles

in other

form of CVT —

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Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

B2dflag

Core

QL

B2d

QT

B2eflag

Core

QL

B2e

B3a

B3b

B4a

B4b

C1tot

Key

C1m

C1f

C2a

C2b

C2c

C3tot

Key

C3i

C3e

QT

QL

QL

QL

QL

QT

QT

QT

QT

QT

QT

QT

QT

QT

1

6

1

6

1

1

1

1

6

6

6

6

6

6

Num

Flag — Self-directed learning

Core variable — No missing — No
imputation

Num

Participants in other form of CVT — Self-
directed learning

Num

Flag — Attendance at conferences etc.

Core variable — No missing — No
imputation

Num

Num

Num

Num

Num

Participants
Attendance at conferences, etc.

in other

form of CVT —

CVT courses for persons employed in the
previous year 2004

Expect to provide CVT courses for persons
employed during the next year 2006

Other forms of CVT for persons employed
in the previous year 2004

Expect to provide other forms of CVT for
persons employed during the next year
2006

Num

Total CVT course participants

Key variable — No missing

Num

Num

Num

Num

Num

CVT course participants — Male

CVT course participants — Female

CVT participants — Under 25 years of age

CVT participants — 25 to 54 years of age

CVT participants — 55 years and older

10

Num

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

Key variable — No missing — In hours

10

Num

Paid working time (in hours)
CVT courses

for internal

In hours

10

Num

Paid working time (in hours)
CVT courses

for external

In hours

C4tot

Key

QT

10

Num

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

Key variable — No missing — In hours

C4m

C4f

C5a

QT

QT

QT

10

Num

Paid working time (in hours) in CVT courses
— Male

In hours

10

Num

Paid working time (in hours) in CVT courses
— Female

In hours

10

Num

Paid working time in hours — Languages,
foreign (222) and mother tongue (223)

In hours

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Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

C5b

C5c

C5d

C5e

C5f

C5g

C5h

C5i

C6a

C6b

C6c

C6d

C6e

C6f

C6g

C7aflag

C7a

QT

QT

10

Num

Paid working time in hours — Sales (341)
and marketing (342)

In hours

10

Num

Paid working time in hours — Accounting
(344) and finance (343), management and
administration (345) and office work (346)

In hours

QT

10

Num

Paid working time in hours — Personal
skills/development (090), working
life (347)

In hours

QT

QT

QT

10

Num

Paid working time in hours — Computer
science (481) and computer use (482)

In hours

10

Num

Paid working time in hours — Engineering,
manufacturing and construction (5)

In hours

10

Num

Paid working time in hours — Environment
protection (850) and occupational health
and safety (862)

In hours

QT

10

Num

Paid working time in hours — Personal
services
(84),
transport
protection of property and persons (861)
and military (863)

services

(81),

In hours

QT

QT

10

Num

Paid working time
training subjects

in hours — Other

In hours

10

Num

Paid working time (in hours) — Schools,
colleges,
higher
universities
education institutions

other

and

In hours

QT

10

Num

Paid working time (in hours) — Public
training institutions (financed or guided by
the government; e.g. adult education centre)

In hours

QT

QT

10

Num

Paid working time in (hours) — Private
training companies

In hours

10

Num

Paid working time (in hours) — Private
companies whose main activity is not
training,
parent/
associate companies)

(equipment

suppliers,

In hours

QT

10

Num

Paid working time (in hours) — Employers’
associations, chambers of commerce, sector
bodies

In hours

QT

QT

QL

QT

10

Num

Paid working time (in hours) — Trade
unions

In hours

10

Num

Paid working time (in hours) — Other
training providers

In hours

1

Num

Flag — fees

10

Num

CVT course costs — Fees and payments for
courses for employees

In euro

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Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

C7bflag

C7b

C7cflag

C7c

C7dflag

C7d

C7sflag

C7sub

PAC

C8aflag

C8a

C8bflag

C8b

Key

Key

C7tot

Key

C9a1

C9a2

C9b1

C9b2

C9c1

C9c2

C9d1

C9d2

C10a1

QL

QT

QL

QT

QL

QT

QL

QT

QT

QL

QT

QL

QT

QT

QL

QL

QL

QL

QL

QL

QL

QL

QL

1

10

1

10

Num

Num

Num

Num

Flag — Travel costs

CVT course costs — Travel and subsistence
payments

In euro

Flag — Labour costs trainers

CVT course costs — Labour costs of internal
trainers

In euro

1

Num

Flag — Training
materials etc.

centre

and

teaching

10

Num

CVT course costs — Training centre, or
rooms
for CVT
and teaching materials
courses

In euro

1

10

10

1

10

1

10

10

1

1

1

1

1

1

1

1

1

Num

‘Sub-total only’ flag

Num

CVT costs sub-total

Key variable — No missing — In euro

Num

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

Key variable — No missing — In euro

Num

Flag — CVT contributions

Num

Contributions CVT

In euro

Num

Flag — CVT receipts

Num

Receipts CVT

In euro

Num

Num

Num

Num

Num

Num

Num

Num

Num

Total cost CVT — To be calculated (C7sub +
C8a – C8b)

Key variable — No missing — In euro

Migrants and ethnic minorities — Employed

Migrants and ethnic minorities — Specific
courses

Persons with a disability — Employed

Persons with a disability — Specific courses

Persons without
Employed

Persons without
Specific courses

formal qualifications —

formal qualifications —

Persons at risk of losing job/redundancy —
Employed

Persons at risk of losing job/redundancy —
Specific courses

Num

Part-time contract persons — Employed

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Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

C10a2

C10b1

C10b2

D1

D2

D3

D4

D5

D6

D7

D8

D9

D10

D11

D12

D13

D13a

D13b

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

Num

Num

Num

CVT courses geared to part-time contract
holders

Fixed term contract persons — Employed

CVT courses geared to fixed term contract
holders

Num

Own or shared training centre

Num

Num

Num

Num

Num

Num

Num

Num

Num

Num

Num

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

Enterprise makes use of an external advisory
service

implements

Enterprise
formal
procedures with the objective of evaluating
the future skills needs of the enterprise

regular

structured

Conduct
interviews with its
employees with the objective of establishing
the
training needs of persons
employed

specific

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

Annual
provision for CVT

training budget, which includes

Measure the satisfaction of
trained after the training

the persons

the training assess

After
to
establish whether the targeted skills were in
fact successfully acquired

the trainees

Enterprise assess the participants’ occupa-
tional behaviour and change in performance
following the training

Measures the impact of training on business
performance through the use of indicators

sectorial or other
National,
between
social
the
influenced the CVT plans, policies
practices

agreements
partners, which
and

Num

Existence of a formal structure

Num

Num

Role of formal structure — Objective and
priority setting for CVT activities

Role of formal structure — Establishing the
criteria for the selection of the target popu-
lation who should participate to CVT

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Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

D13c

D13d

D13e

D13f

D14a

D14b

D14c

D14d

D14e

D15a

D15b

D15c

D15d

D15e

D15f

D15g

D15h

E1a

E1b

E1c

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

QL

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

Num

Num

Num

Num

Num

Num

Num

Num

Num

formal structure — The subject

Role of
matter of the CVT activity

Role of formal structure — The budgeting
process related to CVT

Role of formal structure — The procedure
for the selection external CVT providers

formal structure — Evaluation of

Role of
training outcomes

Publicly-funded advisory service aimed at
identifying training needs and/or developing
training plans

Financial
training persons employed

subsidies

towards

the costs of

relief on expenditure on training

Tax
persons employed

to ensure

Procedures
standards of
trainers (e.g. by national registers, assessment
etc.)

the

Provision of
frameworks
cation

recognised

and
for qualifications and certifi-

standards

Num

The high costs of CVT courses

Max 3 — No ranking

Num

Num

Num

Num

Num

The lack of suitable CVT courses in the
market

Max 3 — No ranking

Difficulties in assessing the enterprise's CVT
needs

Max 3 — No ranking

A major training effort was realised in a
previous year

Max 3 — No ranking

The high workload and the limited available
time of persons employed

Max 3 — No ranking

The current level of training is appropriate
to the enterprises needs

Max 3 — No ranking

Num

A higher focus on IVT than CVT

Max 3 — No ranking

Num

Other reasons

The existing skills and competences corre-
sponded to the
the
enterprise

current needs of

Max 3 — No ranking

Max 3 — No ranking

The enterprise’s preferred strategy was to
individuals with the required skills
recruit
and competencies

Max 3 — No ranking

The enterprise had difficulties in assessing its
needs concerning CVT

Max 3 — No ranking

Num

Num

Num

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Variable name

Variable
group

Variable
type

Variable
length

Variable
format

Variable description

Variable remark

E1d

E1e

E1f

E1g

E1h

E1i

F1tot05

Core

F1m05

F1f05

F2aflag

F2a

F2bflag

F2b

F2cflag

F2c

F3aflag

F3a

F3bflag

F3b

F2tot

Key

QL

QL

QL

QL

QL

QL

QT

QT

QT

QL

QT

QL

QT

QL

QT

QL

QT

QL

QT

QT

1

1

1

1

1

1

6

6

6

1

Num

Num

Num

Num

Num

The lack of suitable CVT courses in the
market

Max 3 — No ranking

The costs of CVT courses were too high for
the enterprise

Max 3 — No ranking

The enterprise preferred to focus on IVT
rather than CVT

Max 3 — No ranking

An investment
in CVT was made in a
previous year and did not require to be
repeated in 2005

Max 3 — No ranking

The persons employed had no available time
to participation in CVT

Max 3 — No ranking

Num

Other reasons

Max 3 — No ranking

Num

Num

Num

Total number of
enterprise during 2005

IVT participants in the

Core variable — No missing — No
imputation

Total number of male IVT participants in the
enterprise during 2005

Total number of female IVT participants in
the enterprise during 2005

Num

Flag — IVT individual labour costs

10

Num

IVT costs — Labour costs of
registered on an IVT activity

individuals

In euro

1

10

1

10

1

10

1

10

10

Num

Num

Num

Num

Flag — IVT other costs

IVT costs — Other costs — Training fees,
travel costs,
teaching materials, costs of
training centres etc.

In euro

Flag — IVT trainer or mentor labour costs Optional variable

IVT costs — Labour costs of IVT trainers or
mentors

Optional variable — In euro

Num

Flag IVT contributions

Num

Contributions IVT

In euro

Num

Flag IVT receipts

Num

Receipts IVT

In euro

Num

Total IVT costs (F2b + F3a – F3b)

Key variable — No missing — In euro

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ANNEX II

SAMPLE

1. The Statistical Business Register (SBR) referred to in Council Regulation (EEC) No 2186/93 (1) shall normally 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 and size category according to the following minimum specification:

— 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)

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.

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

nh = 1/[c2 . teh + 1/Nh] / rh

Where:

nh = the number of sampling units in the stratum cell, h

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

(1) 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).

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ANNEX III

Imputation principals 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, 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
should at all times apply their professional judgement in the application of these rules):

limits (Member State experts

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/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/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/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.

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ANNEX IV

Data file format and transmission rules

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:

(a)

the data set prior to imputation with preliminary checks;

(b) 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.

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ANNEX V

QUALITY REPORT FORMAT

1.

RELEVANCE

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.

2.

ACCURACY

2.1

Sampling errors

— 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 (1) 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.

(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.

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— 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.

2.2 Non-sampling errors

2.2.1 Coverage errors

— 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.

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) — questionnaire to

be submitted in annex.

— Reporting unit/respondent (reactions of respondents):

— Memory errors.

— Lack of attention of the respondents.

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— 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.

2.2.3 Processing errors

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.

2.2.4 Non-response errors

— 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.

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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 (1).

— Item response rates (2) 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.

3.

TIMELINESS AND PUNCTUALITY

— 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.

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

selected.

(2) 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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4.

ACCESSIBILITY AND CLARITY

— What results where or will be sent to enterprises.

— Dissemination scheme of results.

— Copy of any methodological documents relating to the statistics provided.

5.

COMPARABILITY

— 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.

6.

COHERENCE

— 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 (1)

— 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).

(1) 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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7.

BURDEN AND BENEFIT

— 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.