ICT usage in households and by individuals (isoc_i)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: STATISTICAL OFFICE OF THE SLOVAK REPUBLIC (SOSR).


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)



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

STATISTICAL OFFICE OF THE SLOVAK REPUBLIC (SOSR).

1.2. Contact organisation unit

Department of Population Living Standards Statistics

Social Statistics and Demography Section

1.5. Contact mail address

STATISTICAL OFFICE OF THE SLOVAK REPUBLIC

LAMAČSKÁ CESTA 3/C

840 05 BRATISLAVA 45


2. Metadata update Top
2.1. Metadata last certified 05/01/2023
2.2. Metadata last posted 29/09/2023
2.3. Metadata last update 29/09/2023


3. Statistical presentation Top
3.1. Data description

The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In Slovakia, it has been conducted since 2002.

In 2022,  the survey collects data on the access to information and communication technologies (ICT), on the use of the internet, e-government, e-commerce, internet of things and green ICT.

3.1.1. Survey name in national and English languages

National language:

Zisťovanie o využívaní informačných a komunikačných technológií v domácnostiach a u jednotlivcov v roku 2022

English:

The usage of Information-communication Technologies (ICT) in households and by individuals

Questionnaire(s) in national language(s) and the translation in English are available in the Annexes.

3.2. Classification system

The following common concepts and definitions apply under the Integrated European Social Statistics (IESS):

  • the International Standard Classification of Education (ISCED) 2011 published in the following breakdowns: low (ISCED levels 0-2: no formal education, primary education or lower secondary education), medium (ISCED levels 3-4: upper secondary or post-secondary non-tertiary education) and high (ISCED levels 5-6: tertiary programmes which normally need a successful completion of ISCED 3 or 4, or second-stage tertiary education leading to an advanced research qualification);
  • the International Standard Classification for Occupation ISCO-08 at the 2-digit level;
  • the Classification of Economic Activities (NACE Rev.2-2008), at section level;
  • the Common classification of territorial units for statistics (NUTS 1) – finer granularity of NUTS 2 is provided on optional basis by some Member states;
  • the SCL - Geographical code list;
  • information about household income is provided at lower level of detail. 

Additional classifications used in the national questionnaire: 

No additional classifications

3.3. Coverage - sector

The ICT survey in households and by individuals covers those households having at least one member in the age group 16 to 74 years old. Internet access of households refers to the percentage of households that have an internet access, so that anyone in the household could use the internet.

3.3.1. Differences in scope at national level

No deviations between national survey and Eurostat scope.

3.4. Statistical concepts and definitions

The survey is collecting data of internet users, individuals who have used the internet in the three months prior to the survey. Regular internet users are individuals who used the internet, on average, at least once a week in the three months prior to the survey.

This annual survey is used to benchmark ICT-driven developments, both by following developments for core variables over time and by looking in greater depth at other aspects at a specific point in time. While the survey initially concentrated on access and connectivity issues, its scope has subsequently been extended to cover a variety of subjects (for example, the use of e-government and e-commerce) and socio-economic analysis (such as regional diversity, gender specificity, differences in age, education and the employment situation). The scope of the survey with respect to different technologies is also adapted so as to cover new product groups and means of delivering communication technologies to end-users.

For more details on the methodology applicable in each survey year, please consult the Methodological Manual for the respective year on CIRCABC - Methodological Manual - Information society statistics (europa.eu).

Deviations from standard ICT concepts: No deviations.

3.5. Statistical unit

Households and Individuals

3.6. Statistical population

In the ICT usage survey, the target population for the different statistical units is:

- individuals: all individuals aged 16 to 74;

- households: all (private) households with at least one member aged 16 to 74. 

Target population composed of households and/or individuals:

  • Number of households:  1 852 059
  • Number of individuals:  4 131 184
3.6.1. Non-compulsory age groups

Non-compulsory age groups also included in the target population:

 

No

Yes

Age scope

 Individuals younger than 16

 X

 

 

 Individuals older than 74

  X 

 

 

3.6.2. Population not covered by the data collection
Non-target population
(the difference between the total population and the target population)
Households Individuals
Approximate number of units outside the general scope of the survey (e.g. individuals younger than 16 or older than 74; households with all members over 74 years old).  1 659 444  1 268 768
Estimate of the resulting percentage of under-coverage (non-covered population compared to the total country), if applicable  10.4%  23.5%
3.7. Reference area

The Slovak Republic: Surveyed households were selected so that they were representative for each of 8 regions of SR (NUTS3). The survey was done on the whole territory of the Slovak Republic.

3.8. Coverage - Time

Year 2022

3.9. Base period

Not applicable


4. Unit of measure Top

Percentages of ‘Households’ and Percentages of ‘Individuals’


5. Reference Period Top

Reference period for the ICT usage in households and by individuals will be last three months before the interview 2022.

5.1. Survey period

In general, data refer to the first quarter of the reference year.

The survey lasted from 1 April to the end of May 2022.


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

The legal basis for the 2022 EU survey on the use of ICT in households and by individuals is the Regulation (EU) 2019/1700 of the European Parliament and of the Council of 10 October 2019 establishing a common framework for European statistics relating to persons and households, based on data at individual level collected from samples (OJ  L 261 I, 14.10.2019, p. 1), as implemented by the Commission Implementing Regulation (EU) 2021/1223 of 27 July 2021 specifying the technical items of the data set, establishing the technical formats for transmission of information and specifying the detailed arrangements and content of the quality reports on the organisation of a sample survey in the use of information and communication technologies domain for reference year 2022 pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (OJ L 2269, 27.07.2021, pp. 1-45).

Complementary national legislation constituting the legal basis for the survey on the use of ICT in households and by individuals:  

The Statistical Office of the Slovak Republic conducted a survey on the use of information and communication technologies (ICT) in accordance with the Decree of the Statistical Office of the Slovak Republic no. 292/2020 Coll., which issues the Program of State Statistical Surveys for the years 2021 to 2023 in randomly selected households in the territory of the Slovak Republic.

6.2. Institutional Mandate - data sharing

The data will be shared in the form of a publication 'ICT 2022' on the website of the Statistical Office of the Slovak Republic


7. Confidentiality Top
7.1. Confidentiality - policy

National legislative measures:

The protection of confidential data is regulated by Act no. 540/2001 Collection (coll.) on state statistics, as amended.

The protection of personal data is regulated by Act no. 18/2018 Coll. on the protection of personal data and on the amendment of certain laws.

7.2. Confidentiality - data treatment

Anonymizing data:

Principles of Release and Provision of Statistical Information.

By this information, the Statistical Office of the Slovak Republic (SOSR) offers to the interested persons the procedures of release and provision of statistical information, the characteristics of the basic release forms and individual products and services, the definition of principles of relationships with the users of statistical information, principles of product and service provision, price policy of standard and non-standard outputs on the basis of requests. The release and provision of statistical information is conducted in compliance with the Act (NC SR) No 540/2001 Coll. on state statistics, as amended.

The release and provision of statistical information have to fulfil the criteria of the European Statistics Code of Practice, namely the timeliness, accuracy, reliability, relevance, clarity, impartiality, objectivity, professional independence, cost-effectiveness.


8. Release policy Top
8.1. Release calendar

There is a release calendar for the statistical outputs and this calendar is publicly accessible on web in Slovak and English. First release calendar 

8.2. Release calendar access

Catalogue of Publications 2022

8.3. Release policy - user access

The Statistical Office of the Slovak Republic (SOSR) releases ICT data after the survey and related publication to users, which can be downloaded from its website.

Policy on dissemination of the statistical information of the SOSR (hereinafter referred to as “Policy on dissemination”) is a fundamental document in the field of statistical information dissemination. It represents a set of principles applied by the SOSR in dissemination of the statistical information.

The Policy on dissemination supports to fulfilment of the vision of the SOSR which emphasizes professional independence of the Office and customer orientation as well as the fulfilment of its mission: to provide high-quality and objective statistical products and services in order to improve information and intellectual capital of customers. This will help to contribute to risk reduction in decision-making processes and ensure sustainable development of Slovakia.

The Policy on dissemination follows quality policy provisions of the SOSR, which regards customers as the basis for the Office´s existence and their confidence to statistics as a result of the Office´s capability to satisfy the current and expected needs of statistical information users in maintaining impartiality and objectivity.

The Policy on dissemination is defined in accordance with the Act on State Statistics, the development strategy of the SOSR, the information dissemination strategy of Eurostat and European Statistics Code of Practice.


9. Frequency of dissemination Top

Annual


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

There is no news release.

10.2. Dissemination format - Publications

Survey on information and communication technologies usage in households 2022

10.3. Dissemination format - online database

The (aggregated) results of the survey are accessible with a online database.

Data are available online (Eurobase tables) and on Datacube (national webpage of SO SR).

10.3.1. Data tables - consultations

Data are available online (Eurobase tables) and on Datacube (national webpage of SO SR).

10.4. Dissemination format - microdata access

For the Households/Individuals survey, microdata were collected on an optional basis until 2010, on a mandatory basis since 2011. Microdata are available for scientific purposes. For more information, one can consult the Eurostat web page Access to micro-data.

10.5. Dissemination format - other

All variables collected in the framework of this survey are available in the Comprehensive database (ACCESS format) on the dedicated section Digital economy and society.

An overview of the variables collected/published can be consulted/downloaded from the dedicated section Digital economy and society, see 'Variables collected - Use of ICT in Households and by Individuals (link also in the Annexes).

10.5.1. Metadata - consultations

Not available 

10.6. Documentation on methodology

Eurostat: Methodological Manual for the 2022 survey on ICT usage in households and by individuals

SOSR:  Methodological guidance for a web-based questionnaire, where basic information for the interviewer and the household was provided. Methodological guidelines for a pdf questionnaire, where basic information was provided for the interviewer and the household. These documents are attached in annexes.

10.6.1. Metadata completeness - rate

Not available.

10.7. Quality management - documentation

Quality Declaration of SO SR


11. Quality management Top
11.1. Quality assurance

The procedures to promote general quality management principles in the organisation and the quality assurance applied for the survey include the electronic guideline on quality management, which thoroughly describes the quality policy of the Statistical Office of the Slovak Republic. 

The electronic guideline on quality management system is written only in the Slovak language, attached below as annexes.



Annexes:
Electronic_guideline_on_quality_management_Slovakia
11.2. Quality management - assessment

Based on the mentioned directive, quality of the statistical outputs fulfils the standard quality criteria: relevance, accuracy, reliability, timeliness, punctuality, comparability and coherence.


12. Relevance Top
12.1. Relevance - User Needs

The main user is the Ministry of Investments, Regional Development and Informatization of the Slovak Republic, which uses national data on the use of ICT by households and by individuals to compare data across EU countries.

12.2. Relevance - User Satisfaction

Once a year, a customer satisfaction survey is conducted with the products and services of the Statistical Office of the Slovak Republic.

12.3. Completeness

All the variables (mandatory and optional) required for transmission have been included in the microdata.

12.3.1. Data completeness - rate

All variables - 100%. 


13. Accuracy Top
13.1. Accuracy - overall

In generally values of standard errors do not show any important problems and therefore the results can be considered as reliable and representative. There are some small deviations in the group of unemployed persons. Deviation of 3% appears in the groups with small number of respondents.  However, the values are still in the required interval up to 5%. In the future it will be the possibility to enlarge these groups.

SAS software, SURVEYFREQ Procedure

The SURVEYFREQ procedure produces one-way to n-way frequency and cross-tabulation tables from sample survey data. These tables include estimates of population totals, population proportions, and their standard errors. Confidence limits, coefficients of variation, and design effects are also available. The procedure provides a variety of options to customize the table display.

For one-way frequency tables, PROC SURVEYFREQ provides Rao-Scott chi-square goodness-of-fit tests, which are adjusted for the sample design. A null hypothesis of equal proportions for a one-way frequency table can be tested, or a custom null hypothesis proportions for the test can be set. For two-way tables, PROC SURVEYFREQ provides design-adjusted tests of independence, or no association, between the row and column variables. These tests include the Rao-Scott chi-square test, the Rao-Scott likelihood ratio test, the Wald chi-square test, and the Wald log-linear chi-square test. For tables, PROC SURVEYFREQ computes estimates and confidence limits for risks (row proportions), the risk difference, the odds ratio, and relative risks.

PROC SURVEYFREQ computes variance estimates based on the sample design used to obtain the survey data. The design can be a complex multistage survey design with stratification, clustering, and unequal weighting. PROC SURVEYFREQ provides a choice of variance estimation methods, which include Taylor series linearization, balanced repeated replication (BRR), and the Jackknife.

13.2. Sampling error

The sampling error reflects the fact that only a particular sample was surveyed rather than the entire population. It is estimated by the standard error and can be expressed by the square root of the estimate of the sampling variance.

The estimation of the sampling variance should ideally take into account the sampling design (e.g. the stratification).

The method followed is the balanced repeated replication with balanced half-samples. The tool used was the SAS software, PROC SURVEYFREQ.

The SOSR uses multiple variance estimation in imputing variance.

To account for the effect of calibration on variance methods, the SOSR prepared a Calif software - web application in the R software open source tool for calibrating the weights of statistical surveys (web page only in Slovak).

13.2.1. Sampling error - indicators

Precision estimates for the question "Individuals having ordered goods or services for private use over the internet in the last 12 months" (individuals who ticked 'Within the last 3 months' or 'Between 3 months and a year ago' in question D1 of the 2022 model questionnaire):

Number of respondents (absolute value for ‘Yes’ answers):   2406

Estimated proportion (in %):   76.7

Standard error (in percentage points):   0.77

Details of the breakdowns are available in the file 'Sampling_error_SIMS_2022_SK_an2' in the Annexes. 



Annexes:
Sampling_error_SIMS_2022_SK_an2
13.3. Non-sampling error

See more details on non-sampling error below.

13.3.1. Coverage error

The SO SR used the 2011 census, which has not been updated. In the future, it is planned to use the support of the 2021 census with annual updates. Quantitative evaluation of the coverage error of the sampling frame is not possible.

13.3.1.1. Over-coverage - rate

The proportion of units accessible via the frame that do not belong to the target population is 0.65.

13.3.1.2. Common units - proportion

Not requested in the ICT survey.

13.3.2. Measurement error

1)       Measurement errors: 

The error may occur in the data record during the collection; after verification by the respondent with the respondent, the error will be corrected. 

2)       Questionnaire design and testing:

The questionnaire is prepared according to the Eurostat model. The first versions are commented on by the Ministry of Investments, Regional Development and Informatization of the Slovak Republic. Before starting the ICT survey, the questionnaire is tested by the interviewers so that there are no errors in the questionnaire.

3)       Interviewer training: 

Before the ICT survey, interviewers are trained by online video conferencing. They have detailed methodological guidelines prepared on the basis of a methodological manual from Eurostat. The documentation (in Slovak language) is available in the Annexes.

4)       Proxy interview rates:  

No proxy.

13.3.3. Non response error

Information about non-respondents No non-response errors

13.3.3.1. Unit non-response - rate

The unit response rate is the ratio of the number of in-scope respondents (= the number of achieved interviews or the net sample size to the number of eligible elements selected from the sampling frame).

Unit non-response rate for

  • Households  0.20
  • Individuals (aged 16-74):   0.20
13.3.3.1.1. Unit non-response – sample sizes
  Number of households Number of individuals
(aged 16-74) (< 16) (> 74)
Gross sample [A]

The number of households/individuals initially selected from the sampling frame (if not applicable, indicate why below the table)

 4096  4096  0  0
Ineligible: out-of-scope [B] 

E.g. when a selected household is not in the target population because all members are over 75 years old or when no dwelling exists at the selected address or a selected individual has died between the reference data of the sampling frame at the moment of the interview.

 0  0  0  0
Number of eligible elements [C]

Gross sample size corrected of the ineligible cases

 4096  4096  0  0
Net sample size or final sample [D]

The net sample size (or final sample) corresponds to the number of households/individuals that can be used in the final database.

 3276  3276  0  0
Unit response rate [E] = [D] / [C]

The unit response rate is the ratio of the number of in-scope respondents (= the number of achieved interviews or the net sample size to the number of eligible elements selected from the sampling frame)

 0.80  0.80  0  0

 Comments:

 Response rate on NUTS3 level:

REGION Selected households Net sample size Response Rate
SK011 587 495 0.84
SK021 389 333 0.86
SK022 498 374 0.75
SK023 551 433 0.79
SK031 505 391 0.77
SK032 527 421 0.80
SK041 505 405 0.80
SK042 534 424 0.79
SR 4096 3276 0.80
13.3.3.1.2. Unit non-response – methods, minimization and substitution

1)       Methods used for minimizing unit non-response: 

The following general rules for all selected units are used: before the survey, the promotional campaign takes place (on the national level, but especially at the level of the selected municipalities).

2)       Methods used for dealing with unit non-response:

The correction factor is used in the weighting procedure.

3)       Interviewers may be allowed for proxy interviews (i.e. another person in the household than the one who was randomly selected can answer the questions): No

4)       Substitution rate (in %): No

13.3.3.2. Item non-response - rate

Items with low response rates and their observed rates (in %): Not applicable

13.3.4. Processing error

In generally values of standard errors do not show any important problems and the SO SR can therefore consider the results as reliable and representative. 

There are some small deviations in the group of unemployed persons. Deviation of 3% appears in the groups with small number of respondents.

However, the values are still in the required interval up to 5%. In the future, it will be possible to enlarge these groups.

13.3.5. Model assumption error

Not requested for ICT Survey


14. Timeliness and punctuality Top
14.1. Timeliness

The date of date dissemination at national level was the end of November 2022.

14.1.1. Time lag - first result
Restricted from publication
14.1.2. Time lag - final result
Restricted from publication
14.2. Punctuality

No time lags

14.2.1. Punctuality - delivery and publication

No time lags


15. Coherence and comparability Top
15.1. Comparability - geographical

The European model questionnaire is generally used in the Member States. Occasionally, due to (small) differences in translation, in reference periods, in the survey vehicle used, in non-response treatment or different routing through national questionnaires, some results for some countries may be of reduced comparability. 

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not relevant

15.2. Comparability - over time

Possible limitations in the use of data for comparisons over time: Not relevant

15.2.1. Length of comparable time series

The length of comparable time series depends on the module and variable considered within each of the modules of the survey.

15.3. Coherence - cross domain

Not applicable

15.3.1. Coherence - sub annual and annual statistics

Not applicable

15.3.2. Coherence - National Accounts

Not applicable

15.4. Coherence - internal

All statistics are coherent within the dataset.

15.4.1. Survey questionnaire – mandatory questions

MANDATORY questions in the Eurostat model questionnaire 2022:

There are no deviations in the mandatory questions of the questionnaire.

Annexed files “Questionnare_IKT_2022_SK_english_version_an3.PDF” and “Questionnare_IKT_2022_SK_slovak_version_an4.PDF“ contains questionnares in Slovak and English language. All mandatory questions were included in a survey.

15.4.2. Survey questionnaire – optional questions

Adoption of OPTIONAL questions and items in the Eurostat model questionnaire 2022:

There are no deviations in the optional questions.

Annexed files “Questionnare_IKT_2022_SK_english_version_an3.PDF” and “Questionnare_IKT_2022_SK_slovak_version_an4.PDF“ contains questionnares in Slovak and English language. All optional questions were included in a survey.

15.4.3. Survey questionnaire – additional questions at national level

Additional questions introduced in the national questionnaire:  

One question have been added to Eurostat questionnaire.The Ministry of Transport and Construction of the Slovak Republic has requested to include one question in the ICT questionnaire. The question aims to obtain an indicator of the percentage of the persons who own a mobile phone. This request was proposed in connection with the questionnaire of the World Telecommunication Union, where the SO SR provides data. The question F6: Do you own a mobile phone? The question includes not only one's own mobile phone, but also a phone supplied by employers that can be used for personal purposes (to make personal calls, internet access, etc.).

15.4.4. Survey questionnaire – deviations

Effects of deviations from the routing used in the Eurostat model questionnaire:  

All statistics are coherent within the dataset.


16. Cost and Burden Top
Restricted from publication


17. Data revision Top
17.1. Data revision - policy

The Statistical Office of the Slovak Republic releases the data in the form of a publication only after approval by Eurostat.

17.2. Data revision - practice

No comment

17.2.1. Data revision - average size

Not relevant


18. Statistical processing Top
18.1. Source data

The source of the raw data is described with more details in the paragraphs below.

18.1.1. Sampling frame

Name and short description of the sampling frame or register used: Sampling frame are data from 2011 Population and Housing Census. 

The survey is a stand-alone survey and is mandatory. 

There are any no known shortcomings in terms of timeliness.

18.1.2. Sampling design

Number of sampling stages:  

Surveyed households were selected so that they were representative for each of 8 regions of Slovakia (NUTS3). The sample was created individually for each region in two stages. Firstly, the municipalities representing seven size categories (on the base of number of population) in each region were selected. Secondly, in these municipalities households representing five household categories (on the base of their members number) were selected at random.

The final gross sample size was 4096 households. One individual in each household was randomly selected to answer the questions in the second part of questionnaire. The survey covered all required age categories, i.e. individuals of the age from 16 to 74.

First stage – Stratification:

The stratification variables at the first stage are Geographical stratification: Regions and municipalities by number of population.

First stage – Unit:

The sampling unit at the first stage are municipalities.

Self-representing primary sampling unit: No

Second stage – Unit: No

Ultimate stage - Unit: The sampling unit at the ultimate stage are households.

18.1.3. Net effective sample size
Restricted from publication
18.2. Frequency of data collection

Annual

18.3. Data collection

1) Methods used to gather data:

Form of the survey in the examined households:

Web questionnaire (65.5 %), Personal visit (24.1 %) and Telephone survey (10.4 %)

2) Short description of the survey method:

In accordance with the measures taken against the spread of COVID-19, the Statistical Office of the Slovak Republic collected data in the first phase electronically.

The electronic form was available on the website of the Statistical Office of the Slovak Republic.

Households that did not fill in the electronic version of the questionnaire, the interviewers visited the staff of the Statistical Office of the Slovak Republic after improving the pandemic situation and filled in a paper version of the questionnaire.

3) Variables completed from an external source: Not applicable

18.4. Data validation

Data processing at decentralised level: Date processing at decentralised level is a competency of the Department of sample survey statistics in Banska Bystrica. The role of this department is to process data of all ICT 2022 questionnaires completed and the finalization of regional datasets and their transmission to the Central Statistical Office. Data from web questionnaires were be sent directly to the Department of Population and Living Standards at the Central Statistical Office. After a first check, the web questionnaires were transferred to Banská Bystrica for the primary processing.

Data processing at centralised level: Final data processing at centralised level is realised by the Department of Population and Living Standards at the Central Statistical Office. The role of this department is the preparation and the elaboration of the final database of the ICT survey. The final database, as well as the metadata and quality reports, are then transmitted to Eurostat according to Eurostat’s quality requirements and standards.

18.5. Data compilation

Since 2015, Blaise ICT software has been used for data recording in Slovakia. In the Blaise program there are procedures used for checking and validating the source data.

18.5.1. Imputation - rate

For the target indicator "Individuals having ordered goods or services for private use over the internet in the last 12 months" (individuals who ticked 'Within the last 3 months' or 'Between 3 months and a year ago' in question D1 of the 2022 model questionnaire):

Imputation rate (% of observations): 0

Imputation rate (share of estimate): 0

18.5.2. Use of imputation methods

Methods used to impute item non-response: Not applicable

18.5.3. Grossing-up procedures

Grossing up procedures have been applied to:

Grossing-up procedures for households:

Representativeness of the data for the year 2022 was ensured by constructing weights. The final weights were calibrated using software R+. External sources were selected for calibration: estimation of the household structure by number of members in the region. Representativeness of the population in Slovakia was ensured by using the weights by the major demographic indicators. Using the weights was ensured representativeness of the population in Slovakia by the major demographic indicators. The following calibration variables were used at household level: number of households by number of members in administrative regions.

Grossing-up procedures for individuals:

Representativeness of the data for the year 2022 was ensured by constructing weights. The final weights were calibrated using software R+.

External sources were selected for calibration: the population structure by age and gender in the region, by achieved level of education and employment activity. Representativeness of the population in Slovakia was ensured by using the weights by the major demographic indicators.
The following calibration variables were used at individual level: numbers of persons by age groups, sex, achieved level education and employment activity in the administrative regions.

18.6. Adjustment

Not relevant

18.6.1. Seasonal adjustment

Not relevant


19. Comment Top


Related metadata Top


Annexes Top
Methodological_guidlines_IKT_2022_SK_an1
Questionnare_IKT_2022_SK_slovak_version_an4
Questionnare_IKT_2022_SK_english_version_an3
Sampling_error_SIMS_2022_SK_an2