Adult Education Survey 2022

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Croatian Bureau of Statistics 


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Croatian Bureau of Statistics 



Annexes:
Croatian Bureau of Statistics
1.2. Contact organisation unit

Demographic and Social Statistics Directorate

Education, Culture and Information Society Statistics Department

1.5. Contact mail address

Branimirova 19

10 000 Zagreb

Croatia


2. Metadata update Top
2.1. Metadata last certified 17/01/2024
2.2. Metadata last posted 17/01/2024
2.3. Metadata last update 17/01/2024


3. Statistical presentation Top
3.1. Data description

The Adult Education Survey (AES) covers adults’ participation in education and training (formal - FED, non-formal - NFE and informal learning - INF). The 2022 AES focuses on people aged 18-69. The reference period for the participation in education and training is the twelve months prior to the interview.

Information available from the AES is grouped around the following topics:

  • Participation in formal education, non-formal education and training and informal learning
  • Volume of instruction hours
  • Characteristics of the learning activities
  • Reasons for participating
  • Obstacles to participation
  • Access to information on learning possibilities and guidance
  • Employer financing and costs of learning
  • Self-reported language skills
For further information see the 2022 AES legislation (http://ec.europa.eu/eurostat/web/education-and-training/legislation) and the 2022 AES implementation manual (http://ec.europa.eu/eurostat/web/education-and-training/methodology).
3.2. Classification system

- Classification of Learning Activities (CLA, 2016 edition)

- International Standard Classification of Education 2011 (ISCED 2011)

- Fields of Education and Training 2013 (ISCED-F)

- Classification of Occupations 2008 (ISCO-639) 

- Classification of economic activities Rev. 2 (NACE Rev. 2)

3.3. Coverage - sector

AES covers all economic sectors.

3.4. Statistical concepts and definitions

Definitions as well as the list of variables covered are available in the 2022 AES implementation manual (http://ec.europa.eu/eurostat/web/education-and-training/methodology).

3.5. Statistical unit

The statistical units for the 2022 AES are the individuals and the non-formal learning activities.

3.6. Statistical population

The target population of the 2022 AES consists of individuals living in private households and aged 18 to 69 years.

People living in institutions, e.g. residential homes for the elderly, nursing homes, prisons, etc., are excluded from the survey.

3.7. Reference area

The survey was conducted in four NUTS regions (Pannonian, Adriatic, Northern Croatia and City of Zagreb). No country parts were excluded from the survey.

3.8. Coverage - Time

2007 AES, 2016 AES, 2022 AES.

The field work for AES 2022 was carried out in the period from November 15, 2022 to February 13, 2023.

3.9. Base period

Not applicable.


4. Unit of measure Top

Number, EUR.


5. Reference Period Top

The reference period for the participation in education and training is the twelve months prior to the interview.

The field work for AES 2022 was carried out in the period from November 15, 2022 to February 13, 2023. 


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

At European level:

Basic legal act: Regulation (EU) 2019/1700

Implementing act: Commission Implementing Regulation (EU) 2021/861

At national level:

Annual Implementation Plan of Statistical Activities of the Republic of Croatia for 2023 (NN, Nos 35/2023).

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

According to the Official Statistics Act (NN, Nos 103/03., 75/9., 59/12., 13/13. and 25/20. - consolidated text), the confidentiality of all personal data on a household and its members given by respondents is guaranteed. Collected data are used solely for statistical purpose and are published in an aggregated form.

7.2. Confidentiality - data treatment

The dataset was checked using STRUVAL/CONVAL and does not contain individual identifiers and was transmitted via EDAMIS.


8. Release policy Top
8.1. Release calendar

First and final release will be published on 7 May 2024.

8.2. Release calendar access

Release calendar was published on web site of Croatian Bureau of Statistics - Croatian Bureau of Statistics.

8.3. Release policy - user access

Users will be informed of the date through a release on web site of Croatian Bureau of Statistics.


9. Frequency of dissemination Top

Adult Education Survey in Croatia as from 2022 is carried out every 6 years.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Not applicable.

10.2. Dissemination format - Publications

Not applicable.

10.3. Dissemination format - online database

Not applicable.

10.3.1. Data tables - consultations

Not applicable.

10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Not applicable.

10.5.1. Metadata - consultations

Not applicable.

10.6. Documentation on methodology

Part of the methodology is mentioned in national First Release. Besides that, the interviewers received the methodological instructions prior to the fieldwork.

10.6.1. Metadata completeness - rate

Not applicable.

10.7. Quality management - documentation

This national quality report.


11. Quality management Top
11.1. Quality assurance

Prior to AES fieldwork, translated questionnaire was implemented to interviewers' laptops. The questionnaire contained filters and controls to ensure the right questions are answered. The long-term interviewers of Croatian Bureau of Statistics have been trained especially for the purposes of AES. During the fieldwork, the data was immediately withdrawn to CBS server via CMS application. Later on, the data was coded and corrected via STRUVAL/CONVAL tool provided by EUROSTAT.

11.2. Quality management - assessment

Overall assessment of data quality is good.


12. Relevance Top
12.1. Relevance - User Needs

The expected user groups of the survey are policy makers at national and European level, social actors, media, researchers, students, enterprises and International organisations. However, the most important main user group would be researchers and students.

12.2. Relevance - User Satisfaction

Until now we did not get any user satisfaction feedback, national First Release is in May 2024.

12.3. Completeness

Final national dataset covers all variables as requested in the 2022 AES legislation.

12.3.1. Data completeness - rate

The data completeness (rate) is 100%.


13. Accuracy Top
13.1. Accuracy - overall

Accuracy is overall satisfying.

13.2. Sampling error

Accuracy in the statistical sense denotes the closeness of computations or estimates to the exact or true values. Statistics are not equal with the true values because of variability (the statistics change from implementation to implementation of the survey due to random effects) and bias (the average of the possible values of the statistics from implementation to implementation is not equal to the true value due to systematic effects). Several types of error occur during the survey process which comprises the error of the statistics (their bias and variability). The main indicator used is the coefficient of variation (CV).

Definition of coefficient of variation:

Coefficient of Variation= (Square root of the estimate of the sampling variance) / (Estimated value)

That is why sampling errors in terms of standard errors, coefficient of variation and confidence intervals were estimated for key AES indicators and they are reduced to minimum after calibration process.

13.2.1. Sampling error - indicators

Taylor linearization method was used for variance estimation by applying SAS procedure Surveymeans for calculating variance estimation. Sample design and weighting has been taken into account because it is required by mentioned SAS procedure.

See table 13.2.1 “Sampling errors - indicators for 2022 AES key statistics” in annex “HR - QR tables 2022 AES (excel)”.

13.3. Non-sampling error

See items 13.3.1 - 13.3.5 below.

13.3.1. Coverage error

Due to lack of national register, the sampling frame was taken from the Census of Population, Households and Dwellings 2021. The time lag was too long and some amount of respondents was unknown or moved from the residence.

13.3.1.1. Over-coverage - rate

See table 13.3.1.1 “Over-coverage - rate” in annex “HR - QR tables 2022 AES (excel)”.

13.3.1.2. Common units - proportion

Not applicable.

13.3.2. Measurement error

All efforts have been undertaken in order to reduce measurement error.

13.3.3. Non response error

In order to reduce unit non-response, interviewers had to leave a notification containing their name and contact to set up a new timetable. If there was no response, interviewers had to visit respondents three times in different time periods.

13.3.3.1. Unit non-response - rate

See table 13.3.3.1 “Unit non-response - rate” in annex “HR - QR tables 2022 AES (excel)”.

13.3.3.2. Item non-response - rate

See table 13.3.3.2 “Item non-response rate” in annex “HR - QR tables 2022 AES (excel)”.

13.3.4. Processing error

The data editing process was executed in line with STRUVAL/CONVAL rules. Coding and microdata set were compatible to European requirements.

13.3.5. Model assumption error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

No difference.

14.1.1. Time lag - first result

First and final release will be published on 7 May 2024.

14.1.2. Time lag - final result

See above.

14.2. Punctuality

The data collection for the survey took place between November 15, 2022 and February 2023. Processing and transmission of microdata to Eurostat took place within 7 months after the fieldwork.

See table 14.2 “Project phases - dates” in annex “HR - QR tables 2022 AES (excel)”.

14.2.1. Punctuality - delivery and publication

Not applicable.


15. Coherence and comparability Top
15.1. Comparability - geographical

National implementation of 2022 AES fully followed concepts and definitions set in the legislation and in the implementation manual. Therefore, we did not have any deviations from European concepts.

See table 15.1 “Deviations from 2022 AES concepts and definitions” in annex “HR - QR tables 2022 AES (excel)”.

No additional variables related to COVID-19 were collected.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time

Croatia did not participate in the adult education survey in 2011 but participated in the adult education survey in 2016. Difference between last two waves was at data collection mode. In AES 2016 we used only CAPI and in AES 2022 CAPI and CATI. 

Also (in line with the legislation), we have changes in target population: in 2022 AES aged 18 to 69 years and in 2016 aged 25 to 64.

See also table 15.2 “Comparability - over time” in annex “HR - QR tables 2022 AES (excel)”.

15.2.1. Length of comparable time series

Not applicable.

15.3. Coherence - cross domain

Due to different reference period, coverage of learning activities and survey methodology, AES and LFS data slightly differ. In LFS the focus is on labour information for weeks prior to the interview which makes information on education of secondary importance. On the other hand, AES is exclusively dedicated to education and training issues with reference period of 12 months.

See table 15.3 “Coherence - cross-domain” in annex “HR - QR tables 2022 AES (excel)”.

15.3.1. Coherence - sub annual and annual statistics

Not applicable.

15.3.2. Coherence - National Accounts

Not applicable.

15.4. Coherence - internal

AES results for a given data collection round are based on the same microdata and results are calculated using the same estimation methods, therefore the data are internally coherent.


16. Cost and Burden Top

Total expenditures for AES 2022 were 54,533.48 Euro. That included compensation for outsourced interviewers and excludes cost of interviewers employed in the Croatian Bureau of Statistics. Cost of preparation and processing of date are excluded as well.


17. Data revision Top
17.1. Data revision - policy

Not applicable.

17.2. Data revision - practice

Not applicable.

17.2.1. Data revision - average size

Not applicable.


18. Statistical processing Top

The sample for the statistical survey on adult education is based on data from the Census of Population, Households and Dwellings 2021.

The random sampling method selected a sample of 8,000 persons, whereby the implicit stratification was made, i.e. the persons within each stratum were sorted by household and country marker, with the aim of selecting the sample from each of the 21 counties, so that the final sample was representative for the whole of Croatia. Due to the strict stratification criteria, it was not possible to satisfy the requirement that only one person is selected from each household.

18.1. Source data

The sampling frame for the statistical surveys on adult education is based on data from the Census of Population, Households and Dwellings 2021. Persons who deceased in the period from 2021 to 2022, persons under the age of 18 and above the age of 69, and persons who did not have information on the highest completed school were excluded from the basic set. The set contained 2,550,092 persons from whom the sample was selected, stratified by four statistical NUTS2 regions (Adriatic, Pannonian and Northern Croatia and City of Zagreb), according to gender, age and level of education. The target population was divided into four age groups (18-24, 25-34, 35-54, 55-69) and three groups by degree of education (ISCED 1-2, ISCED 3-4, ISCED 5-8).

See also table 18.1 “Source data” in annex “HR - QR tables 2022 AES (excel)”.

18.2. Frequency of data collection

Every 6 years.

18.3. Data collection

The AES 2022 was a stand-alone survey for which the sample was based on data from the Census of Population, Households and Dwellings 2021. 

The survey data was collected by CAPI (computer assisted personal interview) and CATI (computer assisted telephone interview) methods interviewing individuals selected in the sample. 

See also table 18.1 “Source data” in annex “HR - QR tables 2022 AES (excel)”.



Annexes:
AES 2022 Questionnaire in English
AES 2022 Questionnaire in Croatian
18.4. Data validation

The survey data was collected by CAPI and CATI method interviewing individuals selected in the sample. The field work was carried out by trained interviewers who were entering respondent's answers which then were automatically retrieved in the Central Bureau of Statistics data base.

The questionnaire for the implementation of the research was tested via a grant.

The questionnaire (CAPI/CATI) contained logical controls and filters to ease and ensure data quality. 

18.5. Data compilation

Variable HHINCOME was calculated according to the set of rules from the 2022 AES Manual. Household total net monthly income was divided by equivalent household size according to OECD modified scale. HHINCOME missing values were imputed by IVEware software.

In the 2nd stage of the weighting scheme after calculation of design weights we have defined weighting groups (strata used for stratification) regarding non-response, and response rates are calculated for each of these groups. These homogenous groups are defined with 4 age groups, 3 ISCED education level groups, 2 gender and 4 NUTS2 regions. As there were 24 groups defined, multiplying 4 regions gives 96 groups within Croatia for defining non-response rates (and calculating response rates in each one). Non-response weights are inverse value of these response rates. Non-response adjustment weights were then multiplied with the design weight to compensate non-response and reduce non-response bias.

At the end, calibration was used for adjustment weighting. It has more possibilities in comparison to other techniques (e.g. linear weighting and post-stratification), such as imposing constraints on the values of the weights. So, distributions of the nine 5-year age groups, one 6-year age group, 2 gender and 4 NUTS2 regions for the subsample of respondents was calibrated to known auxiliary information from Census 2021. It reduced sampling error, effecting the ‘old’ weights, but in limits of previously defined constraints in CALMAR software. Bounded linear method was used for calibration, and lower limit was set on 0.2, and upper on 1.8.

18.5.1. Imputation - rate

See table 18.5.1 “Imputation - rate” in annex “HR - QR tables 2022 AES (excel)”.

18.6. Adjustment

Not applicable.

18.6.1. Seasonal adjustment

Not applicable.


19. Comment Top

None.


Related metadata Top


Annexes Top
HR - QR tables 2022 AES (excel)