ECA_2006_ESS-R3_v01_M
European Social Survey 2006, Round 3
Name | Country code |
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ECA Region | ECA |
Socio-Economic/Monitoring Survey [hh/sems]
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, three rounds of ESS have been conducted.
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 third round, the survey covers 25 countries and employs the most rigorous methodologies. It is funded via the European Commission's 6th Framework Programme, the European Science Foundation, and national funding bodies in each country. It 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 Three covering personal and social well being and the organization of the life course in Europe.
Sample survey data [ssd]
Individual
2018-12-01
ESS3 edition 3.7 (published 01 December 2018):
The information in this DDI reflects the datasets and documents from the ESS-R3 edition 3.7 released 01 December 2018 on the European Social Survey website (https://www.europeansocialsurvey.org/data/download.html?r=3).
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.
The scope of the study includes:
All persons aged 15 and over, resident within private households, regardless of their nationality, citizenship, language or legal status, in participating countries.
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 25 countries.
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 25 countries.
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.
Austria - structured questionnaires in German
Belgium - structured questionnaires in Dutch and French
Bulgaria - structured questionnaires in Bulgarian
Cyprus - structured questionnaires in Greek
Denmark - structured questionnaires in Danish
Estonia - structured questionnaires in Estonian and Russian
Finland - structured questionnaires in Finnish and Swedish
France - structured questionnaires in French
Germany - structured questionnaires in German
Hungary - structured questionnaires in Hungarian
Ireland - structured questionnaires in English
Latvia - structured questionnaires in Latvian and Russian
Netherlands - structured questionnaires in Dutch
Norway - structured questionnaires in Norwegian and English
Poland - structured questionnaires in Polish
Portugal - structured questionnaires in Portuguese
Romania - structured questionnaires in Romanian
Russian Federation - structured questionnaires in Russian
Slovakia - structured questionnaires in Slovak and Hungarian
Slovenia - structured questionnaires in Slovenian
Spain - structured questionnaires in Spanish and Catalan
Sweden - structured questionnaires in Swedish
Switzerland - structured questionnaires in Swiss German, French, and Italian
Ukraine - structured questionnaires in Ukrainian and Russian
United Kingdom - structured questionnaires in English
Start | End |
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2006-08-21 | 2007-11-05 |
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 - 18.07.2007 - 05.11.2007
Field work period: Belgium - 23.10.2006 - 19.02.2007
Field work period: Bulgaria - 20.11.2006 - 01.01.2007
Field work period: Cyprus - 02.10.2006 - 10.12.2006
Field work period: Denmark - 19.09.2006 - 02.05.2007
Field work period: Estonia - 25.10.2006 - 21.05.2007
Field work period: Finland - 18.09.2006 - 20.12.2006
Field work period: France - 19.09.2006 - 07.04.2007
Field work period: Germany - 01.09.2006 - 15.01.2007
Field work period: Hungary - 21.11.2006 - 28.01.2007
Field work period: Ireland - 14.09.2006 - 31.08.2007
Field work period: Latvia - 28.06.2007 - 02.09.2007
Field work period: Netherlands - 16.09.2006 - 18.03.2007
Field work period: Norway - 21.08.2006 - 19.12.2006
Field work period: Poland - 02.10.2006 - 13.12.2006
Field work period: Portugal - 12.10.2006 - 28.02.2007
Field work period: Romania - 01.12.2006 - 31.01.2007
Field work period: Russian Federation - 18.09.2006 - 09.01.2007
Field work period: Slovakia - 01.12.2006 - 28.02.2007
Field work period: Slovenia - 18.10.2006 - 04.12.2006
Field work period: Spain - 25.10.2006 - 04.03.2007
Field work period: Sweden - 21.09.2006 - 03.02.2007
Field work period: Switzerland - 24.08.2006 - 02.04.2007
Field work period: Ukraine - 06.12.2006 - 12.01.2007
Field work period: United Kingdom - 05.09.2006 - 14.01.2007
European Social Survey
ESS European Research Infrastructure Consortium (ESS ERIC)
http://www.europeansocialsurvey.org/data/download.html?r=3
Cost: free
Name |
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European Social Survey |
Use of the dataset must be acknowledged using a citation which would include:
Example:
European Social Survey Round 3 Data (2006). Data file edition 3.7. NSD - Norwegian Centre for Research Data, Norway - Data Archive and distributor of ESS data for ESS ERIC. Ref. ECA_2006_ESS-R3_v01_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.
To provide funding agencies with essential information about the use of ESS data and to facilitate the exchange of information about the ESS ERIC, users of ESS data are required to register bibliographic citations of all forms of publications referring to ESS data in the ESS online bibliography database at http://www.europeansocialsurvey.org/bibliography
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.
Name | |
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ESS ERIC Headquarters | ess@city.ac.uk |
NSD - Norwegian Centre for Research Data | essdatasupport@nsd.no |
DDI_ECA_2006_ESS-R3_v01_M
Name | Affiliation | Role |
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Development Economics Data Group | The World Bank | Documentation of the DDI |
2020-02-12