European Social Survey 2016, Round 8
Austria, Belgium, Switzerland...and 20 more, 2016 - 2017
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Reference ID
ECA_2016_ESS-R8_v02_M
Producer(s)
ESS European Research Infrastructure Consortium (ESS ERIC)
Metadata
Created on
Nov 09, 2017
Last modified
May 31, 2022
Page views
25571
Identification
Survey ID Number
ECA_2016_ESS-R8_v02_M
Title
European Social Survey 2016, Round 8
Country/Economy
| Name | Country code |
|---|---|
| Austria | AUT |
| Belgium | BEL |
| Switzerland | CHE |
| Czech Republic | CZE |
| Germany | DEU |
| Spain | ESP |
| Estonia | EST |
| Finland | FIN |
| France | FRA |
| United Kingdom | GBR |
| Hungary | HUN |
| Ireland | IRL |
| Iceland | ISL |
| Israel | ISR |
| Italy | ITA |
| Lithuania | LTU |
| Netherlands | NLD |
| Norway | NOR |
| Poland | POL |
| Portugal | PRT |
| Russian Federation | RUS |
| Slovenia | SVN |
| Sweden | SWE |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Series Information
The European Social Survey (ESS) is an academically driven cross-national survey that has been conducted across Europe since its establishment in 2001. Every two years, face-to-face interviews are conducted with newly selected, cross-sectional samples. The survey measures the attitudes, beliefs and behaviour patterns of diverse populations in more than thirty nations.
So far, eight rounds of ESS have been conducted.
So far, eight rounds of ESS have been conducted.
Abstract
The European Social Survey (ESS) is an academically-driven multi-country survey, which has been administered in over 30 countries to date. Its three aims are, firstly - to monitor and interpret changing public attitudes and values within Europe and to investigate how they interact with Europe's changing institutions, secondly - to advance and consolidate improved methods of cross-national survey measurement in Europe and beyond, and thirdly - to develop a series of European social indicators, including attitudinal indicators.
In the eighth round, the survey covers 23 countries and employs the most rigorous methodologies. From Round 7 it is funded by the Members, Observers and Guests of ESS European Research Infrastructure Consortium (ESS ERIC) who represent national governments. Participating countries directly fund the central coordination costs of the ESS ERIC, as well the costs of fieldwork and national coordination in their own country.
The survey involves strict random probability sampling, a minimum target response rate of 70% and rigorous translation protocols. The hour-long face-to-face interview includes questions on a variety of core topics repeated from previous rounds of the survey and also two modules developed for Round 8 covering Public Attitudes to Climate Change, Energy Security, and Energy Preferences and Welfare Attitudes in a Changing Europe (the latter is a partial repeat of a module from Round 4).
In the eighth round, the survey covers 23 countries and employs the most rigorous methodologies. From Round 7 it is funded by the Members, Observers and Guests of ESS European Research Infrastructure Consortium (ESS ERIC) who represent national governments. Participating countries directly fund the central coordination costs of the ESS ERIC, as well the costs of fieldwork and national coordination in their own country.
The survey involves strict random probability sampling, a minimum target response rate of 70% and rigorous translation protocols. The hour-long face-to-face interview includes questions on a variety of core topics repeated from previous rounds of the survey and also two modules developed for Round 8 covering Public Attitudes to Climate Change, Energy Security, and Energy Preferences and Welfare Attitudes in a Changing Europe (the latter is a partial repeat of a module from Round 4).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individuals
Version
Version Description
- v2.0: Edited, anonymous dataset, second version, data available from external repository.
Version Date
2018-12-01
Version Notes
ESS8 edition 2.0 (published 01 December 2018):
Data for countries Hungary, Italy Lithuania, Portugal, and Spain were added to the second edition of the study. Updated documents and datasets were uploaded that reflect the changes in version 2.1 available on the European Social Survey site <http://www.europeansocialsurvey.org/data/download.html?r=8>
The data is available to users without restrictions, for not-for-profit purposes from external repository (see link in 'Location of Data Collection'). In accordance with data protection regulations in participating countries, only anonymous data is available.
Complete list of edits made to the 2.0 edition published by the European Social Survey can be found here (https://www.europeansocialsurvey.org/data/ESS8_version_notes.html). These edits are reflected in the DDI. Updated datasets, reports, technical documents, and questionnaires can be found in the 'Documentation' tab.
Data for countries Hungary, Italy Lithuania, Portugal, and Spain were added to the second edition of the study. Updated documents and datasets were uploaded that reflect the changes in version 2.1 available on the European Social Survey site <http://www.europeansocialsurvey.org/data/download.html?r=8>
The data is available to users without restrictions, for not-for-profit purposes from external repository (see link in 'Location of Data Collection'). In accordance with data protection regulations in participating countries, only anonymous data is available.
Complete list of edits made to the 2.0 edition published by the European Social Survey can be found here (https://www.europeansocialsurvey.org/data/ESS8_version_notes.html). These edits are reflected in the DDI. Updated datasets, reports, technical documents, and questionnaires can be found in the 'Documentation' tab.
Scope
Notes
The scope of the study includes:
- social trust
- political interest and participation
- socio-political orientations
- social exclusion
- national, ethnic and religious allegiances
- climate change, energy security and energy preferences
- welfare
- human values
- demographics and socioeconomics
- social trust
- political interest and participation
- socio-political orientations
- social exclusion
- national, ethnic and religious allegiances
- climate change, energy security and energy preferences
- welfare
- human values
- demographics and socioeconomics
Coverage
Geographic Coverage
1) European Union countries: Austria, Belgium, Czech Republic, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Lithuania, Netherlands, Poland, Portugal, Slovenia, Spain, Sweden, United Kingdom
2) Non-European Union countries: Iceland, Israel, Norway, Russian Federation, Switzerland
2) Non-European Union countries: Iceland, Israel, Norway, Russian Federation, Switzerland
Universe
All persons aged 15 and over, residing within private households, regardless of their nationality, citizenship, language or legal status, in participating countries.
Producers and sponsors
Primary investigators
| Name |
|---|
| ESS European Research Infrastructure Consortium (ESS ERIC) |
Sampling
Sampling Procedure
Sampling procedure varied by country. Please see the "Documentation Report" available in the 'Documentation' section for detailed information on how sampling was conducted in each of the 23 countries.
Response Rate
Response rate varied by country. Please see the "Documentation Report" available in the 'Documentation' section for detailed information on the response rate in each of the 23 countries.
Weighting
There are three methods of weighting that were used in the study. A summary is provided below.
- Design Weights: Individuals in the population aged 15+ have precisely the same chance of selection. Several countries use complex sampling designs where some groups or regions of the population have higher probabilities of selection. The main purpose of the design weights is to correct for the fact that in some countries respondents have different probabilities to be part of the sample due to the sampling design used. Applying the weights allows to correct for this and obtain estimates that are not affected by a possible sample selection bias. The design weights are computed as the inverse of the inclusion probabilities and then scaled such that their sum equals the net sample size.
- Post-stratification Weights: Design weights account for differences in inclusion probabilities and thus correct for bias that is introduced by the sampling design. However, other errors sources remain, including sampling error (related to attempting to measure only a fraction of the population) and non-response error (which may lead to a systematic overor under-representation of people with certain characteristics). Post-stratification weights are a more sophisticated weighting strategy that uses auxiliary information to reduce the sampling error and potential non-response bias. They have been constructed using information on age-group, gender, education, and region. The post-stratification weights are obtained by adjusting the design weights in such a way that they will replicate the distribution of the cross classification of age-group, gender, and education in the population and the marginal distribution for region in the population.
- Population Size Weights: Population size weights are used when examining data for two or more countries combined. The population size weights are the same for all persons within a country but differ across countries. These weights correct for the fact that most countries taking part in the ESS have different population sizes but similar sample sizes. Without this weight, any figures combining data from two or more countries might be biased, over-representing smaller countries at the expense of larger ones. The population size weight makes an adjustment to ensure that each country is represented in proportion to its population size
A more detailed explanation of each type of weight and recommendations on how they should be utilized in analysis are provided in the "Weighting European Social Survey Data" document that can be found in the 'Documentation' tab.
- Design Weights: Individuals in the population aged 15+ have precisely the same chance of selection. Several countries use complex sampling designs where some groups or regions of the population have higher probabilities of selection. The main purpose of the design weights is to correct for the fact that in some countries respondents have different probabilities to be part of the sample due to the sampling design used. Applying the weights allows to correct for this and obtain estimates that are not affected by a possible sample selection bias. The design weights are computed as the inverse of the inclusion probabilities and then scaled such that their sum equals the net sample size.
- Post-stratification Weights: Design weights account for differences in inclusion probabilities and thus correct for bias that is introduced by the sampling design. However, other errors sources remain, including sampling error (related to attempting to measure only a fraction of the population) and non-response error (which may lead to a systematic overor under-representation of people with certain characteristics). Post-stratification weights are a more sophisticated weighting strategy that uses auxiliary information to reduce the sampling error and potential non-response bias. They have been constructed using information on age-group, gender, education, and region. The post-stratification weights are obtained by adjusting the design weights in such a way that they will replicate the distribution of the cross classification of age-group, gender, and education in the population and the marginal distribution for region in the population.
- Population Size Weights: Population size weights are used when examining data for two or more countries combined. The population size weights are the same for all persons within a country but differ across countries. These weights correct for the fact that most countries taking part in the ESS have different population sizes but similar sample sizes. Without this weight, any figures combining data from two or more countries might be biased, over-representing smaller countries at the expense of larger ones. The population size weight makes an adjustment to ensure that each country is represented in proportion to its population size
A more detailed explanation of each type of weight and recommendations on how they should be utilized in analysis are provided in the "Weighting European Social Survey Data" document that can be found in the 'Documentation' tab.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2016-09-16 | 2017-03-20 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Collection Notes
In the ESS, data have to be collected via face-to-face interviews (preferably CAPI) in all participating countries. In each country, the national funding agency appoints a National Coordinator and a survey organisation to implement the survey according to common ESS specifications. Please see: http://www.europeansocialsurvey.org/methodology/ess_methodology/data_collection.html for a more detailed explanation of the standards on data collection utilized by the ESS.
The core scientific team responsible for ESS implementation consisted of:
Rory Fitzgerald (PI and Director, ESS ERIC), Eric Harrison, Lorna Ryan, Ana Villar, Sarah Butt, Salima Douhou, Lizzy Winstone, Virginia Ros, Luca Salini and Elena Sommer: ESS ERIC Headquarters at City, University of London, UK. Geert Loosveldt, Koen Beullens and Katrijn Denies: Katholieke Universiteit Leuven (KU Leuven), Belgium. Bjørn Henrichsen, Knut Kalgraff Skjåk, and Kirstine Kolsrud: NSD - Norwegian Centre for Research Data, Norway. Angelika Scheuer, Achim Koch, Verena Halbherr, Brita Dorer, Stefan Zins and Roberto Briceño-Rosas: GESIS, Germany. Wiebke Weber, Diana Zavala Rojas, Melanie Revilla and Anna de Castellarnau: Universitat Pompeu Fabra, Spain. Ineke Stoop, Joost Kappelhof and Sander Steijn: The Netherlands Institute for Social Research (SCP), Netherlands. Brina Malnar, University of Ljubljana, Slovenia. Peter Lynn, University of Essex, United Kingdom.
The dates for data collection in each of the countries are the following:
Field work period: Austria - 19.09.16 - 28.12.16
Field work period: Belgium - 14.09.16 - 31.01.17
Field work period: Czech Republic - 24.10.16 - 19.12.16
Field work period: Estonia - 01.10.16 - 31.01.17
Field work period: Finland - 15.09.16 - 08.03.17
Field work period: France - 10.11.2016 - 11.03.2017
Field work period: Germany - 23.08.16 - 26.03.17
Field work period Hungary: 14.05.17 - 16.09.17
Field work period: Iceland - 02.11.16 - 08.06.16
Field work period: Ireland - 25.11.16 - 08.05.17
Field work period: Israel - 10.09.16 - 08.02.17
Field work period: Italy - 11.09.17 - 19.11.17
Field work period: Lithuania - 04.10.17 - 28.12.17
Field work period: Netherlands - 01.09.16 - 31.01.17
Field work period: Norway - 22.08.16 - 17.01.17
Field work period: Poland - 07.11.16 - 22.02.17
Field work period: Portugal - 20.10.16 - 15.06.17
Field work period: Russian Federation - 03.01.17 - 19.03.17
Field work period: Slovenia - 21.09.16 - 11.01.16
Field work period: Spain - 16.02.17 - 23.06.17
Field work period: Sweden - 26.08.16 - 10.02.17
Field work period: Switzerland - 01.09.16-02.03.17
Field work period: United Kingdom - 01.09.16 - 20.03.17
The core scientific team responsible for ESS implementation consisted of:
Rory Fitzgerald (PI and Director, ESS ERIC), Eric Harrison, Lorna Ryan, Ana Villar, Sarah Butt, Salima Douhou, Lizzy Winstone, Virginia Ros, Luca Salini and Elena Sommer: ESS ERIC Headquarters at City, University of London, UK. Geert Loosveldt, Koen Beullens and Katrijn Denies: Katholieke Universiteit Leuven (KU Leuven), Belgium. Bjørn Henrichsen, Knut Kalgraff Skjåk, and Kirstine Kolsrud: NSD - Norwegian Centre for Research Data, Norway. Angelika Scheuer, Achim Koch, Verena Halbherr, Brita Dorer, Stefan Zins and Roberto Briceño-Rosas: GESIS, Germany. Wiebke Weber, Diana Zavala Rojas, Melanie Revilla and Anna de Castellarnau: Universitat Pompeu Fabra, Spain. Ineke Stoop, Joost Kappelhof and Sander Steijn: The Netherlands Institute for Social Research (SCP), Netherlands. Brina Malnar, University of Ljubljana, Slovenia. Peter Lynn, University of Essex, United Kingdom.
The dates for data collection in each of the countries are the following:
Field work period: Austria - 19.09.16 - 28.12.16
Field work period: Belgium - 14.09.16 - 31.01.17
Field work period: Czech Republic - 24.10.16 - 19.12.16
Field work period: Estonia - 01.10.16 - 31.01.17
Field work period: Finland - 15.09.16 - 08.03.17
Field work period: France - 10.11.2016 - 11.03.2017
Field work period: Germany - 23.08.16 - 26.03.17
Field work period Hungary: 14.05.17 - 16.09.17
Field work period: Iceland - 02.11.16 - 08.06.16
Field work period: Ireland - 25.11.16 - 08.05.17
Field work period: Israel - 10.09.16 - 08.02.17
Field work period: Italy - 11.09.17 - 19.11.17
Field work period: Lithuania - 04.10.17 - 28.12.17
Field work period: Netherlands - 01.09.16 - 31.01.17
Field work period: Norway - 22.08.16 - 17.01.17
Field work period: Poland - 07.11.16 - 22.02.17
Field work period: Portugal - 20.10.16 - 15.06.17
Field work period: Russian Federation - 03.01.17 - 19.03.17
Field work period: Slovenia - 21.09.16 - 11.01.16
Field work period: Spain - 16.02.17 - 23.06.17
Field work period: Sweden - 26.08.16 - 10.02.17
Field work period: Switzerland - 01.09.16-02.03.17
Field work period: United Kingdom - 01.09.16 - 20.03.17
Data Collectors
| Name |
|---|
| Austria - IFES Institut für empirische Sozialforschung |
| Belgium - Kantar TNS, Broekstraat 49-53, 1000 Brussel |
| Czech Republic - ppm factum research s.r.o. Office Park Nové Butovice / A Bucharova 1281/2 158 00 Praha 13 Czech Republic |
| Estonia - Statistics Estonia, Tatari 51, 10134 Tallinn, Estonia |
| Finland - Statistics Finland (Tilastokeskus), FI-00022 Statistics Finland (Helsinki) |
| France - GfK-ISL CRF - 40 rue Pasteur - CS 900004 - 92156 SURESNES Cedex Tel : + 33 1 74 18 60 00 |
| Germany - infas Institut für angewandte Sozialwissenschaft GmbH |
| Iceland - The Social Science Research Institute (SSRI) of the University of Iceland Félagsvísindastofnun Gimli - Sæmundargötu 2 101 Reykjavík Iceland |
| Ireland - Amárach Research 11 Kingswood Business Centre, Kingswood Road, Citywest Business Campus, Dublin 24 Ireland |
| Israel - B.I. Cohen Institute for Public Opinion Research |
| Netherlands - KANTAR (previously TNS NIPO & Bureau Veldkamp), Grote Bickersstraat 74, 1013 KS Amsterdam, Netherlands |
| Norway - Statistics Norway Akersveien 26, 0177 Oslo |
| Poland - Centre of Sociological Research Institute of Philosophy and Sociology Polish Academy of Sciences Nowy Swiat 72 Warsaw Poland |
| Russian Federation - CESSI (Institute for Comparative Social Research) |
| Slovenia - University of Ljubljana, Faculty of Social Sciences, Public Opinion and Mass Communication Research Center |
| Sweden - Ipsos Observer Sweden, St Göransgatan 63, Box 12236, 102 26 Stockholm |
| Switzerland - M.I.S. Trend SA, Lausanne, Switzerland |
| United Kingdom - National Centre for Social Research |
Questionnaires
Questionnaires
Austria - structured questionnaires in German
Belgium - structured questionnaires in Dutch, French
Czech Republic - structured questionnaires in Czech
Estonia - structured questionnaires in Estonian, Russian
Finland - structured questionnaires in Finnish, Swedish
France - structured questionnaires in French
Germany - structured questionnaires in German
Hungary - structured questionnaires in Hungarian
Iceland - structured questionnaires in Icelandic
Ireland - structured questionnaires in English (we had produced a localised Polish language survey, but all Polish households participated using English)
Israel - structured questionnaires in Hebrew, Arabic and Russian
Italy - structured questionnaires in Italian
Lithuania - structured questionnaires in Lithuanian and Russian
Netherlands - structured questionnaires in Dutch
Norway - structured questionnaires in Norwegian
Poland - structured questionnaires in Polish
Portugal - structured questionnaires in Portuguese
Russian Federation - structured questionnaires in Russian
Slovenia - structured questionnaires in Slovenian
Sweden - structured questionnaires in Swedish
Spain - structured questionnaires in Spanish and Catalan
Switzerland - structured questionnaires in German/Swiss-German, French, Italian
United Kingdom - structured questionnaires in English
Belgium - structured questionnaires in Dutch, French
Czech Republic - structured questionnaires in Czech
Estonia - structured questionnaires in Estonian, Russian
Finland - structured questionnaires in Finnish, Swedish
France - structured questionnaires in French
Germany - structured questionnaires in German
Hungary - structured questionnaires in Hungarian
Iceland - structured questionnaires in Icelandic
Ireland - structured questionnaires in English (we had produced a localised Polish language survey, but all Polish households participated using English)
Israel - structured questionnaires in Hebrew, Arabic and Russian
Italy - structured questionnaires in Italian
Lithuania - structured questionnaires in Lithuanian and Russian
Netherlands - structured questionnaires in Dutch
Norway - structured questionnaires in Norwegian
Poland - structured questionnaires in Polish
Portugal - structured questionnaires in Portuguese
Russian Federation - structured questionnaires in Russian
Slovenia - structured questionnaires in Slovenian
Sweden - structured questionnaires in Swedish
Spain - structured questionnaires in Spanish and Catalan
Switzerland - structured questionnaires in German/Swiss-German, French, Italian
United Kingdom - structured questionnaires in English
Access policy
Contacts
| Name | |
|---|---|
| ESS ERIC Headquarters | ess@city.ac.uk |
| NSD - Norwegian Centre for Research Data | essdatasupport@nsd.no |
Restrictions
The data are available without restrictions, for not-for-profit purposes.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
European Social Survey Round 8 Data (2016). Data file edition 2.1. NSD - Norwegian Centre for Research Data, Norway - Data Archive and distributor of ESS data for ESS ERIC. Ref. ECA_2016_ESS-R8_v02_M. Dataset downloaded from [url] on [date].
To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in the footnotes or in the reference section of publications.
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
European Social Survey Round 8 Data (2016). Data file edition 2.1. NSD - Norwegian Centre for Research Data, Norway - Data Archive and distributor of ESS data for ESS ERIC. Ref. ECA_2016_ESS-R8_v02_M. Dataset downloaded from [url] on [date].
To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in the footnotes or in the reference section of publications.
Access authority
| Name | URL |
|---|---|
| European Social Survey | Link |
Location of Data Collection
European Social Survey
Archive where study is originally stored
ESS European Research Infrastructure Consortium (ESS ERIC)
http://www.europeansocialsurvey.org/data/download.html?r=8
Cost: free
http://www.europeansocialsurvey.org/data/download.html?r=8
Cost: free
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
The ESS ERIC, Core Scientific Team (CST) and the producers bear no responsibility for the uses of the ESS data, or for interpretations or inferences based on these uses. The ESS ERIC, CST and the producers accept no liability for indirect, consequential or incidental damages or losses arising from use of the data collection, or from the unavailability of, or break in access to the service for whatever reason.
The ESS ERIC, Core Scientific Team (CST) and the producers bear no responsibility for the uses of the ESS data, or for interpretations or inferences based on these uses. The ESS ERIC, CST and the producers accept no liability for indirect, consequential or incidental damages or losses arising from use of the data collection, or from the unavailability of, or break in access to the service for whatever reason.
Metadata production
DDI Document ID
DDI_ECA_2016_ESS-R8_v03_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Norwegian Centre for Research Data | NSD | Norway's Ministry of Education and Research | Documentation and archiving of the study |
| Development Data Group | DECDG | World Bank | Metadata distribution in the World Bank Microdata Catalog and IHSN Survey Catalog |
Date of Metadata Production
2020-02-10
DDI Document version
DDI Document - Version 03 - (04/27/21)
This version is identical to DDI_ECA_2016_ESS-R8_v02_M but country field has been updated to capture all the countries covered by survey.
- v02 (February 2020)
Modifications were made to the DDI ID, study ID, study version description, and study design weights. Minor grammatical and formatting edits were made to the geographic coverage, universe, notes on data collection, and the questionnaire sections of the DDI. Updated documents and datasets were uploaded that reflect the changes in version 2.1 available on the European Social Survey site <http://www.europeansocialsurvey.org/data/download.html?r=8>
- v01 (October 2017)
The metadata was documented by the Norwegian Centre for Research Data. It was downloaded from http://nesstar.ess.nsd.uib.no/webview/index.jsp?v=2&submode=abstract&study=http%3A%2F%2F129.177.90.83%3A80%2Fobj%2FfStudy%2FESS8e01.0&mode=documentation&top=yes by the World Bank Microdata Library documentation team. The dataset and documents were downloaded on from http://www.europeansocialsurvey.org/data/download.html?r=8. Modifications in the study ID and DDI ID were done by the World Bank Microdata Library documentation team to match the standard used by the library and the IHSN Survey Catalog.
Updated documents and datasets were uploaded that reflect the changes in version
This version is identical to DDI_ECA_2016_ESS-R8_v02_M but country field has been updated to capture all the countries covered by survey.
- v02 (February 2020)
Modifications were made to the DDI ID, study ID, study version description, and study design weights. Minor grammatical and formatting edits were made to the geographic coverage, universe, notes on data collection, and the questionnaire sections of the DDI. Updated documents and datasets were uploaded that reflect the changes in version 2.1 available on the European Social Survey site <http://www.europeansocialsurvey.org/data/download.html?r=8>
- v01 (October 2017)
The metadata was documented by the Norwegian Centre for Research Data. It was downloaded from http://nesstar.ess.nsd.uib.no/webview/index.jsp?v=2&submode=abstract&study=http%3A%2F%2F129.177.90.83%3A80%2Fobj%2FfStudy%2FESS8e01.0&mode=documentation&top=yes by the World Bank Microdata Library documentation team. The dataset and documents were downloaded on from http://www.europeansocialsurvey.org/data/download.html?r=8. Modifications in the study ID and DDI ID were done by the World Bank Microdata Library documentation team to match the standard used by the library and the IHSN Survey Catalog.
Updated documents and datasets were uploaded that reflect the changes in version