Topic
Author
Publication year
Geography
Source
Study title
Study group
Collection year
Thematic collection
show more filters
(30) |
(7) |
(5) |
(4) |
| more... |
| more... |
to |
(1) |
(1) |
(2) |
(1) |
(1) |
(3) |
(4) |
(2) |
(4) |
(1) |
(1) |
(1) |
(1) |
(2) |
(1) |
(1) |
(1) |
(1) |
(1) |
(26) |
(15) |
(15) |
(14) |
(14) |
(14) |
(14) |
(14) |
(14) |
(14) |
| more... |
| more... |
| more... |
to |
(1) |
(1) |
(2) |
(1) |
(1) |
(2) |
(6) |
(3) |
(2) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(1) |
(2) |
MethodologyMode of Data Collection
Sampling Procedure
Temporal Research Design
Analysis Unit
Kind of Data
More filtersInterview language
(2) |
Analysis Unit
(9) |
(7) |
(1) |
Sort by:
GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
Links between contents are displayed directly in the hit list. For example, you can find matching publications to the research data found.
The results can be filtered quickly and conveniently according to the following categories:
- Research data
- Variables from questionnaires
- Instruments and tools
- Literature
- Publications on research data and survey instruments
- Open-access Publications in the Social Sciences
- Literature on "Women in Science and Research"
- Collections of the GESIS library
- General information and offers on the GESIS websites
Contact: suche@gesis.org
The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
Date(s) of Data Collection: 01.07.2022 - 31.07.2022
GESIS, Cologne. ZA7880 Data file Version 1.0.0, https://doi.org/10.4232/1.14364
GESIS, Cologne. ZA7880 Data file Version 1.0.0, https://doi.org/10.4232/1.14364
Abstract: The German Internet Panel (GIP) is a long-term study at the University of Mannheim. The GIP examines individual attitudes and preferences that are relevant in political a ... more
Abstract: The German Internet Panel (GIP) is a long-term study at the University of Mannheim. The GIP examines individual attitudes and preferences that are relevant in political a ... more
Content: The questionnaire contains numerous experimental variations in the survey instruments. Further information can be found in the study documentation.
Number of different statements agreed with (drink driving is not a small thing, violence against political opponents is sometimes justified, harsher penalties for crime should be introduced in Germany, it is understandable that some people evade taxes, the high salaries for managers are justified, public broadcasting fees benefit democracy, we would all be better off if we ate less meat, it is okay to use violence for some political goals); acceptance of political violence (intimidating a political opponent on the internet; removing a political opponent´s leaflets, event notices or election advertising, preventing other people from attending a political opponent´s event, shouting down a political opponent to prevent them from speaking, using violence to prevent a political opponent from speaking); agreement with statements about political violence (violence against political opponents is sometimes justified, it is okay to use violence for some political goals, do not agree with any of these statements).
Migration: Opinion on the immigration of a fictitious person with certain characteristics (male, unmarried, Christian, university degree) for certain reasons (political persecution in the home country, no work in the country of origin, uninhabitability of the home country due to climate change, health risk in the home country due to high corona infection rates, no reasons other than personal criteria).
Development aid: Opinion on Germany´s continued financial support for development projects with various objectives (broad-based and job-creating growth, strengthening broad-based and job-creating growth to reduce migration to Europe, promoting the democratic rule of law and guaranteeing human rights, promoting the democratic rule of law and guaranteeing human rights to reduce migration to Europe, support for climate risk insurance to compensate for losses and damages suffered, support for climate risk insurance to compensate for losses and damages suffered to reduce migration to Europe, improvement of the health system, improvement of the health system to reduce migration to Europe, support for development projects in general).
Threat of infection rate of certain diseases (COVID-19, HIV).
Values: Opinion with regard to selected statements (it´s okay to break the law if you don´t get caught; always be helpful, even if the cost is high).
Economy (experiments regarding characteristics of companies): Preference for purchasing a product from companies with certain characteristics (profit manipulation; dismissal of a large number of employees); preference for accepting a job offer from companies with certain characteristics (investing a portion of profits in local communities to support local families; investing a portion of profits in software to prevent online payment fraud); preference for purchasing a product from companies with certain characteristics (investing a portion of profits in local communities to support local families; investing a portion of profits in software to prevent online payment fraud); preference for the purchase of shares in companies with certain characteristics (investing a portion of profits in local communities to support local families; investing a portion of profits in software to prevent online payment fraud); preference for the purchase of shares in companies with certain characteristics (production of rear-view mirrors for the automotive industry and company headquarters located in East Germany; production of exterior mirrors for the automotive industry and company headquarters located in West Germany); personal importance of various corporate goals (product safety, profit maximisation, fair wages, increasing the proportion of women in management positions, reduction of CO2 emissions, job security in Germany, respectful treatment of employees, job security in all subsidiaries worldwide, investment in research and development, social commitment in the region).
Current emotional state (senselessness; sadness); job burnout (feeling emotionally drained; feeling tired and exhausted after work).
Social media: Personal accounts for selected social media (facebook, TikTok, LinkedIn, Xing, Instagram, Spotify, twitter, YouTube); frequency of using facebook; purpose of facebook use (private, professional); frequency of using TikTok; number of own videos shared via TikTok in the last two months; frequency of using LinkedIn or Xing; acceptability of sharing personal digital data for a research project at a German university and reason for the respective response (GPS data, Webtracking data, facebook data, LinkedIn or Xing data); willingness to share own data with regard to the aforementioned situations and reason for the respective response.
Experiment on the attention of the respondent (Attention check): Assignment of a predefined answer option for the sentence ´I am an attentive person´, participation in a survey currently taking place, indication of the frequency of a certain digit occurring in a table of numbers, arithmetic task, question about the request to assign certain answer options or to solve certain tasks on the previous pages of the survey and indication of whether the requests were complied with.
Data protection and internet services: Users of Meta, google, Amazon etc. have lost all control over collection and use of their personal data; confidential and proper use of personal data by internet services; existing laws and organisational practices of internet services provide adequate protection of users´ privacy.
Science and research (open science): More trust in science through public sharing of study materials, data and analysis codes.
Demography: sex; age (year of birth, categorized); highest level of education; highest level of professional education; marital status; household size; employment status; German citizenship; frequency of private Internet use; federal state.
Additionally coded were: respondent ID, GIP; household ID, GIP; person ID (within household); year of recruitment (2012, 2014, 2018); interview date; current online status; assignment to experimental groups.
Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey; respondent made further
comments on the questionnaire.
Topics: Social behaviour and attitudes, Political behaviour and attitudes, Migration, Economic systems and development, ECONOMICS, Media
Date(s) of Data Collection: 01.07.2022 - 31.07.2022
Geographic coverage: Germany (DE)
Universe: Persons living in private households in Germany and aged 16-75 at the time of recruitment
Number of Units: 3821
Sampling Procedure: • Probability: Multistage;
Temporal Research Design: Longitudinal: Panel
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI);
Data Collector: forsa.main, Frankfurt am Main
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 121
Principal Investigator/ Authoring Entity, Institution: - German Internet Panel, Universität Mannheim
Publication year: 2024
DOI: 10.4232/1.14364
Study number: ZA7880
Publisher: GESIS
External links: GIP University of Mannheim
Current Version: 1.0.0, 2024-07-24, https://doi.org/10.4232/1.14364
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-07-24 first archive edition (current version) https://doi.org/10.4232/1.14364 |
Publications: Blom, A. G., Gathmann, C., & Krieger, U. (2015): Setting Up an Online Panel Representative of the General Population: The German Internet Panel. Field Methods, 27(4), 391–408. https://doi.org/10.1177/1525822X15574494, Steinacker, G.; Schmidt, S. (2014): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014, Steinacker, G.; Schmidt, S.; Schneekloth, U. (2012): German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer. München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2012, Blom, A. G., Bosnjak, M., Cornilleau, A., Cousteaux, A.-S., Das, M., Douhou, S., and Krieger, U. (2016): A Comparison of Four Probability-Based Online and Mixed-Mode Panels in Europe, Social Science Computer Review, 34(1), 8-25. DOI: 10.1177/0894439315574825
Study group: German Internet Panel, GESIS Community Data
Linked
information:Publications (4)
information:Publications (4)
Date(s) of Data Collection: 02.02.2021 - 30.03.2021
GESIS, Cologne. ZA7947 Data file Version 1.0.0, https://doi.org/10.4232/1.14069
GESIS, Cologne. ZA7947 Data file Version 1.0.0, https://doi.org/10.4232/1.14069
Abstract: The study on innovations - influences of new developments on our society was conducted by USUMA on behalf of the Konrad Adenauer Foundation. During the survey period 02.0 ... more
Abstract: The study on innovations - influences of new developments on our society was conducted by USUMA on behalf of the Konrad Adenauer Foundation. During the survey period 02.0 ... more
Content: Life satisfaction; willingness to take risks; economic situation of the region; expected economic change for the region; assessment of the innovative capacity of the regional economy; party preference (Sunday question) and alternative party; party affinity or dislike of different parties; agreement with statements on digitalization (new jobs will be created in Germany through digitalization, digitalization endangers our jobs, digitalization makes our work easier, technology has become so complicated that I often don´t know how to use it, technology will help me to continue to live independently in old age, I would like more help in everyday life through the technical innovations, when I think of the developments in digitalization I get anxious); digital devices used (smartphone, tablet or iPad, computer or laptop, smart watch or digital bracelet, speaker or screen with digital voice assistant such as Amazon Alexa, etc.); frequency of internet use; frequency of purchasing goods or services over the internet; frequency of use of different digital offers (entering an electricity meter reading online, clarifying a question with the authority by email, making an appointment with an authority online, exchanging or giving away objects or services with people in the neighbourhood online, paying digitally via an app); receiving advice from a doctor online; using an app to monitor personal health data or one´s own physical activities with fitness apps or fitness trackers; willingness to provide the following information on a website on the internet (personal details such as name or address, favourite books or films, photos of the respondent with friends, medical information such as X-rays, bank balance); data protection: concern about the use of personal data by companies and by the state; attitude towards innovation (e.g. enjoy trying out new technology, suspicious of new technical developments, etc.); frequency of interest in owning the latest technical devices, of fear of failure in dealing with modern technology as well as of being overwhelmed in dealing with technical innovations; agreement with various statements with regard to technical developments (technical developments are decisive for the progress of our society, more advantages than disadvantages, politics will also decide on appropriate regulations for new technical developments, even before the introduction of a new technology the dangers should be ruled out, drug manufacturers can be trusted in the development of new drugs, we should rely more on common sense and less on scientific studies); agreement with various statements on the topic of technical developments and climate protection (for the preservation of the environment it is necessary for everyone to refrain more frequently, technical developments are the best measure against climate change, climate protection is more likely to succeed through new technology than by many behaving differently, technical developments will not be enough to stop climate change); party competence in the areas of environmental and climate policy, refugee and asylum policy, social policy, policy to secure the prosperity achieved, policy that supports companies to develop new things, proper innovation policy); intended vaccination against the coronavirus.
Demography: sex; age; occupation; job security; unemployment longer than 6 months; degree of urbanization of living environment; household size; number of persons in household 18 years and older; religious denomination; frequency of churchgoing; education; migration background of respondent or parents; federal state; city size.
Additionally coded were: Respondent ID; number of regular mobile phone users aged 18 and over; number of mobile phone numbers on which the respondent can be reached by phone; number of landline numbers; sample (landline or mobile); weight.
Topics: Political behaviour and attitudes, ECONOMICS, Information society, Information technology, SCIENCE AND TECHNOLOGY, Environment and conservation
Date(s) of Data Collection: 02.02.2021 - 30.03.2021
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 18 and over entitled to vote
Number of Units: 1307
Sampling Procedure: • Probability: Stratified;
Stratified random sample using the ADM landline telephone sample and the ADM mobile telephone sample; N=1,307, with N=546 in East Germany (incl. Berlin) and N=761 in West Germany.
Dual-frame approach in the ratio 40% mobile : 60% fixed network
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: USUMA, Berlin
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 168
Principal Investigator/ Authoring Entity, Institution: Hirndorf, Dominik - Konrad-Adenauer-Stiftung e.V., Berlin, Neu, Viola - Konrad-Adenauer-Stiftung e.V., Berlin, Pokorny, Sabine - Konrad-Adenauer-Stiftung e.V., Berlin, Roose, Jochen - Konrad-Adenauer-Stiftung e.V., Berlin
Publication year: 2023
DOI: 10.4232/1.14069
Study number: ZA7947
Publisher: GESIS
External links: Konrad-Adenauer-Stiftung
Current Version: 1.0.0, 2023-02-02, https://doi.org/10.4232/1.14069
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2023-02-02 first archive edition (current version) https://doi.org/10.4232/1.14069 |
Publications: Roose, Jochen (2022): Digitale Innovationskultur: offen oder kritisch? Repräsentative Umfrage zu digitaler Innovation und Datenschutz.
Berlin: Konrad-Adenauer-Stiftung e.V., USUMA: Repräsentative Telefonbefragung zum Thema "Innovationen" - Einflüsse neuer Entwicklungen auf unsere Gesellschaft. Methodenbericht im Auftrag der Konrad-Adenauer-Stiftung.
Berlin: USUMA 2021
Study group: Studies Konrad-Adenauer-Stiftung, GESIS Community Data
Date(s) of Data Collection: 07.11.2018 - 11.02.2019
GESIS, Cologne. ZA7583 Data file Version 2.1.0, https://doi.org/10.4232/1.13942
GESIS, Cologne. ZA7583 Data file Version 2.1.0, https://doi.org/10.4232/1.13942
Abstract: Objective:
The German Emigration and Remigration Panel Study (GERPS) is the data base developed within the project “Individuelle Konsequenzen internationaler Migration im ... more
Abstract: Objective:
The German Emigration and Remigration Panel Study (GERPS) is the data base developed within the project “Individuelle Konsequenzen internationaler Migration im ... more
Content: Contact with people in the country before the stay abroad (close relatives, further relatives, work colleagues or other friends and acquaintances); reasons for leaving Germany (e.g. own professional reasons or professional reasons of the partner, family reasons, financial reasons, etc.); ease of finding one´s way around after migration.
Life situation three months before moving away from Germany: steady partnership before migration; continuation of the partnership beyond the move abroad; driving force for migration; partner who emigrated first or joint move; household size before migration; language skills: language other than German in the country of migration; self-assessment of knowledge of the language of the country of migration.
Employment before leaving Germany: self-employed persons: sector; number of employees; dependent employees and civil servants: sector; agreed and actual number of hours per week before migration; supervisor function; number of persons with authority to issue instructions.
Previous and planned future stays abroad: planned time in the country of migration within the next 12 months; planned time in Germany within the next 12 months; planned duration of the stay abroad; planned duration of stay in the country of migration in years; total duration of stay abroad.
Previous longer-term stays abroad: number of previous longer stays abroad; last longer stay abroad also in the current country of residence or in another country.
Future plans to go abroad: consideration of re-migration abroad, duration and location of re-migration; intention to move abroad again within the next 12 months; reasons for re-migration abroad.
Leaving the current country of residence or returning to Germany: consideration of moving to Germany or another country; country of intended migration (back to Germany, to another country); reasons for re-migration to Germany.
Current life situation: steady partnership; household size; place of residence (in the same house/flat as before leaving Germany, same place but different apartment, different place but in the same federal state, in a different federal state than before leaving); contacts with friends and relatives: Total number of close friends; number of close friends in Germany, in the current country of migration and in another country (in each case emigrants and re-migrants); frequency of contact with relatives and friends in Germany: (spouse) partner, parents, parents-in-law, siblings, children, grandchildren, grandparents, other relatives and close friends; comparison of the current personal situation in selected areas of life with that prior to leaving Germany (family life, circle of friends and acquaintances, health, residential area, neighbourhood contacts).
Current employment situation:
Dependent employees and civil servants: sector; agreed and actual number of hours per week; activity corresponds to the learned profession; same employer as in Germany, subsidiary of the last employer in Germany or completely different employer than in Germany; secondment by the employer; fixed-term employment relationship; supervisor function; number of persons for whom authority exists; number of employees in the company as a whole; comparison of the professional situation with that before leaving Germany in terms of wages, promotion opportunities, job security and decision-making powers.
Self-employed persons: sector; number of employees; activity corresponds to the profession learned; comparison of the occupational situation with that prior to leaving Germany in terms of earning opportunities, support from authorities and entrepreneurial framework conditions.
Non-employed persons: already employed in the country of migration; intended future employment; intended time of employment; assessment of the chances of finding a suitable job; comparison of the personal situation with that before leaving Germany in terms of chances of finding a job, finding a job suitable for the training, and security as a non-employed person.
Retired persons: receiving pension payments; reasons for retirement (e.g. reaching the legal age limit, etc.); gainful employment in the context of a secondary occupation; reasons for gainful employment; reasons for desired employment; reasons against gainful employment in retirement.
Current financial situation: assessment of the current household income; comparison of the financial situation with that prior to leaving Germany in terms of standard of living, personal income and household income
General questions about the person: sex; Germany as place of birth; time of moving to Germany; German citizenship; acquisition of German citizenship; school-leaving certificate; school-leaving certificate acquired in Germany; stay abroad during schooling; completed vocational training or studies; type of completion of vocational training or studies; completion of vocational training or studies in Germany; stay abroad during studies or during training; language other than German in the country of migration; self-assessment of knowledge of the language of the country of migration.
Information about the partner: completed vocational training or studies; type of completion of vocational training or studies; gainful employment.
Attitudes, personality and well-being: self-assessment of the state of health; agreement with statements about self-determination (how my life is going to run depends on myself, success has to be worked hard for, often the experience that others determine my life, what one achieves in life is primarily a question of fate or luck); social isolation (lacking the company of others, being left out, being socially isolated); sense of belonging: attachment to: the community in the current country of migration, the current country of migration, the community of origin or Community in Germany, the community in the current country of migration, the current country of migration, Germany and with the European Union; self-assessment of the willingness to take risks; general life satisfaction.
Derived variables: sex; partner indicator before migration and currently; marital status before migration and currently; partner status during migration; household status before migration, currently and after migration; partner in household: age of partner before migration and currently; before migration and after migration children in household under 6, from 6 to under 12, from 12 to under 17; age of youngest child in household before migration and after migration; change in household composition; education: Classification according to ISCED 11 and Casmin; highest school leaving degree; highest vocational and college degree of the respondent and partner; flag variables; birth in Germany; migration background; employment status before migration and currently; current employment status of partner; hours worked per week according to employment contract and actually worked; contractual and actual hours worked (full-time, part-time); ISEI 08 and SIOPS 88 before migration and after migration; region; weighting factors wave 1; residence status; ISCO 08; KLDB 2010 after migration; year of birth (classified); monthly net wage; monthly gross wage; country of birth of father and mother (country of migration, other country); date of interview.
Additionally coded: respondent ID; sample (emigrant with foreign address, emigrant with German address, returning emigrant); year and month of interview; number of days between emigration and interview); survey method (online, PAPI); current migration status (emigrant/returning emigrant); total duration of stay abroad; time limit of stay abroad.
Topics: LABOUR AND EMPLOYMENT, Migration, EDUCATION, Social and occupational mobility, Cultural and national identity, HEALTH, SOCIAL STRATIFICATION AND GROUPINGS, ECONOMICS, Housing
Date(s) of Data Collection: 07.11.2018 - 11.02.2019
Geographic coverage: Germany (DE)
Universe: German citizens aged between 20 and 70 years, who either moved abroad from Germany or returned from abroad between July 2017 and June 2018.
Number of Units: 11010
Sampling Procedure: • Probability: Multistage;
First stage: Sampling of 81 municipalities proportional to their total number of emigrants and remigrants in previous years.
Second stage: Sampling of two separate samples for emigrants and remigrants; one individual per household.
Temporal Research Design: Longitudinal: Panel
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI)
• Face-to-face interview: Paper-and-pencil (PAPI);
Data Collector: SOKO Institut, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 266
Principal Investigator/ Authoring Entity, Institution: Erlinghagen, Marcel - Universität Duisburg-Essen, Duisburg, Schneider, Norbert - Bundesinstitut für Bevölkerungsforschung (BiB), Wiesbaden
Publication year: 2022
DOI: 10.4232/1.13942, 10.4232/1.13750, 10.4232/1.13479
Study number: ZA7583
Contributor, Institution, Role: Décieux, Jean Philippe - Universität Duisburg-Essen - DataCurator, Erlinghagen, Marcel - Universität Duisburg-Essen - ProjectLeader, Ette, Andreas - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Genoni, Andreas - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Guedes Auditor, Jean - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Mansfeld, Lisa - Universität Duisburg-Essen - ProjectMember, Schneider, Norbert - Bundesinstitut für Bevölkerungsforschung - ProjectLeader, Witte, Nils - Bundesinstitut für Bevölkerungsforschung - ProjectMember
Publisher: GESIS
External links: GERPS project
Current Version: 2.1.0, 2022-06-30, https://doi.org/10.4232/1.13942
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 2.1.0 | 2022-06-30 Release 2.1.0 (current version) https://doi.org/10.4232/1.13942 |
| 2.0.0 | 2021-06-11 see ZA7583_changes_v1-0-0_to_v2-0-0.pdf https://doi.org/10.4232/1.13750 |
| 1.0.0 | 2020-03-26 first archive edition https://doi.org/10.4232/1.13479 |
Publications: Ette, Andreas; Décieux, Jean; Erlinghagen, Marcel; Genoni, Andreas; Guedes Auditor, Jean; Knirsch, Frederik; Kühne, Simon; Mörchen, Luisa; Sand, Matthias; Schneider, Norbert; Witte, Nils (2020): German Emigration and Remigration Panel Study (GERPS): Methodology and Data Manual of the Baseline Survey (Wave 1). BiB Daten- und Methodenberichte 1/2020. Wiesbaden: Bundesinstitut für Bevölkerungsforschung.
, Ette, Andreas; Décieux, Jean P.; Erlinghagen, Marcel; Guedes Auditor, Jean; Mansfeld, Lisa; Sander, Nikola; Schneider, Norbert F.; Witte, Nils 2019a: German Emigration and Remigration Panel Study (GERPS): Neue GERPS-Daten über deutsche Aus- und Rückwandernde. In: Bevölkerungsforschung Aktuell 6-2019: 3–7.
Study group: German Emigration and Remigration (GERPS), Studies from Bundesinstitut für Bevölkerungsforschung (BiB), Wiesbaden, GESIS Community Data
Date(s) of Data Collection: 21.01.2019 - 25.01.2019
GESIS Data Archive, Cologne. ZA7498 Data file Version 1.0.0, https://doi.org/10.4232/1.13282
GESIS Data Archive, Cologne. ZA7498 Data file Version 1.0.0, https://doi.org/10.4232/1.13282
Abstract: Attitude towards EU competition policy.
Abstract: Attitude towards EU competition policy.
Content: Topics: attitude towards selected statements regarding competition between companies: allows for better consumer prices, allows for more choice for consumers, allows for higher quality, encourages innovation and economic growth, transparency on public money granted to companies promotes good use of taxpayers’ money, helps EU companies to become more competitive in global markets; attitude towards the statement: state aid recovery helps restore equal and fair conditions of competition in the Single Market; experiences regarding a lack of competition in the following sectors resulting in higher prices, a reduction in choice, or lower quality: telecommunication and internet access, energy, financial services, transport services, food retailing, pharmaceutical products, others, none; main problems in the mentioned sectors; preferred point of contact in case of encountering the aforementioned problems: national competition authority, other authorities in the own country, consumer organisations in the own country, police, court, European Commission; awareness of issues with regard to competition cases in the media in the last year; sources of the information; awareness of competition-related decisions against a company taken by a competition authority; awareness of the executing authority; assessment of the impact of competition on consumers.
Demography: age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size.
Additionally coded was: respondent ID; country; type of phone line; nation group; weighting factor.
Topics: TRADE, INDUSTRY AND MARKETS, ECONOMICS
Date(s) of Data Collection: 21.01.2019 - 25.01.2019
Date(s) of Data Collection: 21.01.2019 - 25.01.2019, total, 21.01.2019 - 22.01.2019, Belgium, 21.01.2019 - 24.01.2019, Bulgaria, 21.01.2019 - 23.01.2019, Czech Republic, 21.01.2019 - 24.01.2019, Denmark, 21.01.2019 - 24.01.2019, Germany, 21.01.2019 - 23.01.2019, Estonia, 21.01.2019 - 24.01.2019, Ireland, 21.01.2019 - 24.01.2019, Greece, 21.01.2019 - 24.01.2019, Spain, 21.01.2019 - 22.01.2019, France, 21.01.2019 - 24.01.2019, Croatia, 21.01.2019 - 22.01.2019, Italy, 21.01.2019 - 23.01.2019, Cyprus, 21.01.2019 - 24.01.2019, Latvia, 21.01.2019 - 24.01.2019, Lithuania, 21.01.2019 - 24.01.2019, Luxembourg, 21.01.2019 - 23.01.2019, Hungary, 21.01.2019 - 23.01.2019, Malta, 21.01.2019 - 24.01.2019, Netherlands, 21.01.2019 - 24.01.2019, Austria, 21.01.2019 - 23.01.2019, Poland, 21.01.2019 - 25.01.2019, Portugal, 21.01.2019 - 24.01.2019, Romania, 21.01.2019 - 23.01.2019, Slovenia, 21.01.2019 - 23.01.2019, Slovakia, 21.01.2019 - 23.01.2019, Finland, 21.01.2019 - 23.01.2019, Sweden, 21.01.2019 - 24.01.2019, United Kingdom
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR), United Kingdom (GB)
Universe: Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 28 Member States and aged 15 years and over
Number of Units: 26572
Sampling Procedure: • Probability: Multistage;
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Kantar TNS, Brussels, Belgium;
Kantar TNS BBSS, Sofia, Bulgaria;
Kantar TNS, Prague, Czech Republic;
Kantar GALLUP A/S, Copenhagen, Denmark;
Kantar Deutschland, Munich, Germany;
Kantar Emor, Tallinn, Estonia;
Behaviour & Attitudes, Dublin, Ireland;
Taylor Nelson Sofres market research, Athens, Greece;
Kantar TNS, Madrid, Spain;
Kantar Public France, Paris, France;
Kantar Italia, Milan, Italy;
CYMAR, Nicosia, Cyprus;
Kantar TNS, Riga, Latvia;
TNS LT, Vilnius, Lithuania;
Kantar TNS, Luxembourg, Luxembourg;
Kantar Hoffmann Kft, Budapest, Hungary;
MISCO, Valletta, Malta;
Kantar Public, Amsterdam, Netherlands;
Kantar Deutschland, Vienna, Austria;
Kantar Polska, Warsaw, Poland;
Marktest - Marketing, Organização e Formação, Lisbon, Portugal;
Centrul Pentru Studierea Opiniei si Pietei (CSOP), Bucharest, Romania;
Mediana DOO, Ljubljana, Slovenia;
Kantar Slovakia, Bratislava, Slovakia;
Kantar TNS Oy, Espoo, Finland;
Kantar Sifo AB, Stockholm and Gothenburg, Sweden;
Kantar UK Limited, London, United Kingdom;
HENDAL, Zagreb, Croatia;
Kantar Public Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Number of Variables: 259
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels
DG Communication
COMM.A.3 ´Media monitoring and Eurobarometer´ -
Publication year: 2019
DOI: 10.4232/1.13282
Study number: ZA7498
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2019-05-03, https://doi.org/10.4232/1.13282
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2019-05-03 Archive release (current version) https://doi.org/10.4232/1.13282 |
Publications: European Commission: Flash Eurobarometer 476. Citizens’ perceptions about competition policy. Survey requested by the European Commission, Directorate-General for Competition and co-ordinated by the Directorate-General for Communication (DG COMM “Media monitoring and Eurobarometer” Unit. Brussels, April 2019. doi:10.2763/9771
Study group: EB - Flash Eurobarometer
Date(s) of Data Collection: 15.04.2017 - 25.04.2017
GESIS Data Archive, Cologne. ZA6862 Data file Version 3.0.0, https://doi.org/10.4232/1.13788
GESIS Data Archive, Cologne. ZA6862 Data file Version 3.0.0, https://doi.org/10.4232/1.13788
Other Title (type): Designing Europe´s Future, and E-Communications and Digital Single Market (Subtitle)
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Content: Topics: 1. Designing Europe´s future: attitude towards an increase in the EU budget given its political objectives; assumed fields on which most of the EU budget is spent; preferred fields on which to spend most of the EU budget; trust in selected institutions: national government, European Union, media, national legal system; positive associations with the following terms: free trade, globalisation, security, solidarity; attitude towards the following issues: European economic and monetary union with one single currency, common foreign policy of all member states, common defence and security policy; assessment of the current speed in the construction of Europe and desired speed; approval of the creation of a European army; attitude towards each of the following scenarios for the future of the EU: continuous implementation of reforms at the same pace as today, gradually focus on deepening certain aspects of the single market, deepen the cooperation of selected member states in certain fields, focus on delivering more and faster in selected policy areas, more cooperation across all policy areas; approval of the following statements: globalisation as an opportunity for economic growth, globalisation increases social inequalities, EU has sufficient power and tools to defend its economic interests globally, European Union protects citizens from negative effects of globalisation, EU enables its citizens to better benefit from positive effects of globalisation; globalisation as an opportunity for national companies or as a threat to employment and companies in the country.
2. E-communications and the Digital Single Market: number of mobile phones in the household with access to the telephone network and number of mobile phone contracts giving access to internet; TV reception via: aerial, Digital Terrestrial Television (i.e. aerial plus decoder), cable TV network (i.e. analogue), cable TV network plus decoder (i.e. digital), satellite TV via satellite dish plus decoder, telephone network plus modem and / or decoder, internet access; frequency of the following activities: make or receive phone calls over a landline phone, make or receive phone calls over a mobile phone, send or receive SMS, use instant messaging services on the internet, make phone or video calls via internet applications, send e-mails, post content on online social media; attitude towards the following statements on traditional means of communication that use a telephone number (compared to using the internet): are more reliable, provide more protection of consumer rights; subscription to a bundle consisting of: fixed line telephone, mobile phone, fixed internet access, mobile internet access, TV channels, music streaming services, video streaming services, other; change of service provider; experienced problems with regard to changing bundle service provider: temporary loss of services, loss of personal e-mails and online content, took some days for new services to work properly, need to change equipment, obligation to pay penalty to former service provider, need to pay for new and old bundle at same time; main considered factors when subscribing to an internet connection; experienced problems with regard to household internet subscription: interruption of connection, downloading or uploading delays, difficulty in using several applications at the same time on different devices, lack of internet responsiveness; frequency of using tools to monitor and control consumption of voice calls, SMS, and data; usefulness of summarized essential contract features; frequency of the following activities: make international phone calls over a landline phone within the EU, make international phone calls over a mobile phone within the EU, make international calls via internet applications (VoIP) within the EU, make international calls to a phone number using internet applications (VoIP) within the EU, send international SMS within the EU, use instant messaging services to reach people within the EU; reasons for using internet applications for phone calls or instant messaging services to reach people within the EU; awareness and use of special tariffs for landline and mobile phone calls within the EU; inclusion of (un)limited number of minutes of international calls within the EU for: fixed telephone subscription, mobile phone subscription; used telephone number in an event of emergency in the own country; knowledge of the European Union-wide emergency number 112.
Demography: nationality; own a mobile phone and fixed (landline) phone; possession of durable goods (entertainment electronics, internet connection, possession of a car, a flat/a house have finished paying for or still paying for); left-right self-placement; marital status; sex; age; age at end of education; occupation; professional position; type of community; household composition and household size; financial difficulties during the last year; internet use (at home, at work, at school); self-reported belonging to the working class, the middle class or the upper class of society; life satisfaction; frequency of discussions about political matters on national, European, and local level; own voice counts in the own country and in the EU; general direction things are going in the own country and in the EU; opinion leadership; EU image.
Additionally coded was: respondent ID; country; date of interview; time of the beginning of the interview; duration of the interview; number of persons present during the interview; respondent cooperation; size of locality; region; language of the interview; nation group; weighting factor.
Topics: MEDIA, COMMUNICATION AND LANGUAGE, Information society, International politics and organisations, Political behaviour and attitudes, ECONOMICS
Date(s) of Data Collection: 15.04.2017 - 25.04.2017
Date(s) of Data Collection: 15.04.2017 - 25.04.2017, total, 15.04.2017 - 24.04.2017, Belgium, 15.04.2017 - 24.04.2017, Bulgaria, 15.04.2017 - 24.04.2017, Czech Republic, 15.04.2017 - 24.04.2017, Denmark, 15.04.2017 - 24.04.2017, Germany, 15.04.2017 - 24.04.2017, Estonia, 15.04.2017 - 24.04.2017, Ireland, 15.04.2017 - 24.04.2017, Greece, 15.04.2017 - 24.04.2017, Spain, 15.04.2017 - 23.04.2017, France, 15.04.2017 - 24.04.2017, Croatia, 15.04.2017 - 24.04.2017, Italy, 15.04.2017 - 24.04.2017, Cyprus, 15.04.2017 - 24.04.2017, Latvia, 15.04.2017 - 24.04.2017, Lithuania, 15.04.2017 - 24.04.2017, Luxembourg, 15.04.2017 - 24.04.2017, Hungary, 15.04.2017 - 24.04.2017, Malta, 15.04.2017 - 24.04.2017, Netherlands, 15.04.2017 - 24.04.2017, Austria, 15.04.2017 - 24.04.2017, Poland, 15.04.2017 - 24.04.2017, Portugal, 15.04.2017 - 24.04.2017, Romania, 15.04.2017 - 24.04.2017, Slovenia, 15.04.2017 - 24.04.2017, Slovakia, 15.04.2017 - 23.04.2017, Finland, 15.04.2017 - 24.04.2017, Sweden, 15.04.2017 - 25.04.2017, United Kingdom
Geographic coverage: Austria (AT), Belgium (BE), Bulgaria (BG), Cyprus (CY), Czech Republic (CZ), Germany (DE), Denmark (DK), Estonia (EE), Spain (ES), Finland (FI), France (FR), Great Britain (GB-GBN), Northern Ireland (GB-NIR), Greece (GR), Croatia (HR), Hungary (HU), Ireland (IE), Italy (IT), Lithuania (LT), Luxembourg (LU), Latvia (LV), Malta (MT), Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Sweden (SE), Slovenia (SI), Slovakia (SK)
Universe: Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 28 Member States and aged 15 years and over.
Number of Units: 28501
Sampling Procedure: Probability Sample: Multistage Sample
Analysis Unit: Individual
Mode of Data Collection: Face-to-face interview
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Data Collector: TNS Dimarso, Brussels, Belgium;
TNS BBSS, Sofia, Bulgaria;
TNS Aisa, Prague, Czech Republic;
TNS GALLUP DK, Copenhagen, Denmark;
TNS Infratest, Munich, Germany;
TNS Emor, Tallinn, Estonia;
Behaviour & Attitudes, Dublin, Ireland;
TNS ICAP, Athens, Greece;
TNS Spain, Madrid, Spain;
TNS Sofres, Montrouge, France;
TNS Italia, Milan, Italy;
CYMAR, Nicosia, Cyprus;
TNS Latvia, Riga, Latvia;
TNS LT, Vilnius, Lithuania;
TNS ILReS, Luxembourg, Luxembourg;
TNS Hoffmann Kft, Budapest, Hungary;
MISCO, Valletta, Malta;
TNS NIPO, Amsterdam, Netherlands;
ipr Umfrageforschung, Vienna, Austria;
TNS Polska, Warsaw, Poland;
TNS Portugal, Lisbon, Portugal;
TNS CSOP, Bucharest, Romania;
Mediana, Ljubljana, Slovenia;
TNS Slovakia, Bratislava, Slovakia;
TNS GALLUP Oy, Espoo, Finland;
TNS Sifo, Stockholm and Gothenburg, Sweden;
TNS UK, London, United Kingdom;
HENDAL, Zagreb, Croatia;
TNS opinion, Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Number of Variables: 536
Notes: Question module QA ´Designing Europe’s future´ is largely based on Standard Eurobarometer waves 86.2 (ZA6788), 84.3 (ZA6643), 83.3 (ZA5998), 79.3 (ZA5689), and 77.3 (ZA5612).
Question module QB ‘E-Communications and Digital Single Market’ is partly based on questions asked in the context of the corresponding module surveyed in the framework of Eurobarometer 84.2 (ZA6642). For parts of the e-communications questions, the respondents are asked to answer for their household. Alternative weighting variables are suited for the descriptive analysis of the corresponding variables on household level (w31 to w79 and wex_hh).
Starting with Eurobarometer 81.3 (with 84.1 for Germany), the category scheme for country specific protocol variables P6 (SIZE OF COMMUNITY) has changed considerably. Categories for all countries have been harmonized among each other to three values (Rural area - Towns and suburbs/small urban area - Cities/large urban areas).
Starting with Eurobarometer 81.3 the category scheme for country specific protocol variables P7 (REGION) has changed for some countries, in particular introducing NUTS categories for Ireland, Estonia, and Croatia.
Please note that gen1 to gen6 are based on age instead of year of birth, which may entail a slightly inaccurate categorization for some respondents. Moreover, additional discrepancy in the categorization might be due to the potential use of years other than the survey year.
Derived variable d43_qb1 has been modified in dataset version v3-0-0 to make consistent with the official tabular report. Respondents who answer DK (code 11) in source variable qb1_1 have been recoded to ‘9’ (Inap. (11 in qb1_1)) in d43_qb1. Furthermore, there are slight implausibilities in the combined answer categories when comparing with the source variables d43a, d43b, and qb1_1. This might be due to the mix of personal and household related questions.
Derived variable qb5t_1 has been modified and corrected by GESIS. Cases coded ‘98’ (‘Other combination or unknown combination (1 in qb5_2 to qb5_8 only once and 1 in qb5_9) ’) and ´99´ (‘No bundle mentioned (1 in qb5_1)’) have been constructed in accordance with input variables qb5_1 to qb5_10. Categories 1 and 4 to 9 have been corrected in accordance with input variables qb5_1 to qb5_10 and are consistent with official results.
Derived variable qb12t_4 has been modified and corrected by GESIS in accordance with input variables qb12_1 to qb12_4 and information in the official Excel volume: Respondents coded DK throughout variables qb12_1 to qb12_4 have been coded to ‘0’ (Not mentioned) in qb12t_4. Please note: In contrast to the supplied dataset, the official Excel volumes disregard certain cases with no other (landline or personal mobile) phone in d43a/b (coded 99 in qb12_1 or qb12_2) in qb12t_4.
Derived variable qb12tt_4 has also been modified by GESIS, now corresponding with the Excel volume: Respondents coded DK in variables qb12_5 and qb12_6 have been coded to ‘0’ (Not mentioned) in qb12tt_4.
Derived variable qb12t3_4 has been modified and corrected by GESIS in accordance with input variables qb12_1 to qb12_6 and information in the official Excel volume: Respondents coded DK throughout variables qb12_1 to qb12_6 have been coded to ‘0’ (Not mentioned) in qb12t3_4. Please note: In line with the official Excel volume, the previous version of this variable (up to v2-0-0) disregards certain cases with no other (landline or personal mobile) phone in d43a/b (coded 99 in qb12_1 or qb12_2) in qb12t_4. This was adjusted by GESIS in version v3-0-0 in order to establish conformity with qb12t_4.
Derived variables qb14t_1 and qb14t_2 differ slightly in categories 4 and 5 from the official tabular reports. Cases coded DK in filter variables qb12_1 resp. qb12_2 are included in category 4 in the dataset at hand, whereas in the Excel volumes these cases are assigned to category 5. Please consult the detailed value labels of the categories for further information.
Variable split was derived by GESIS on the basis of qa10_4 and qa10_5.
Module QA is available starting with version v2-0-0 (embargo update).
The end-of-fieldwork dates implied by the values in protocol variable p1 (date of interview) differ slightly from those indicated in the technical specifications provided by TNS for some countries.
No data are available for protocol items p8 (postal code), p9 (sample point number), p10 (interviewer number) and p11.
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels;
Directorate General Communication
COMM.A.3 ‘Media monitoring and analysis’ -
Publication year: 2021
DOI: 10.4232/1.13788, 10.4232/1.13655, 10.4232/1.13165
Study number: ZA6862
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 3.0.0, 2021-09-23, https://doi.org/10.4232/1.13788
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 3.0.0 | 2021-09-23 Archive edition (current version) https://doi.org/10.4232/1.13788 |
| 2.0.0 | 2021-01-11 Pre-Release (Embargo update) https://doi.org/10.4232/1.13655 |
| 1.0.0 | 2018-11-20 Pre-Release https://doi.org/10.4232/1.13165 |
Version changes: Changes between version 3.0.0 and it's previous version
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2021-08-20 | qb14t | Please note that the value label for category 9 for variable qb14t should read “Inap. (not 1 to 4 in qb14_1 and qb14_2)”. The value label will be corrected with the next update. | 2021-09-23 value label corrected |
| 2021-08-18 | qb1_2 and qb1_2r | Please note that the value label for category 99 for variable qb1_2 and for category 9 for variable qb1_2r should read "Inap. (10 or 11 in qb1_1). The value labels will be corrected with the next update. | 2021-09-23 value labels corrected |
| 2021-07-14 | d40b, d40b_r, d40c, d40c_r | Please note that code 98 in d40b and d40c should be labelled “DK/NA [NOT DOCUMENTED]”. Cases coded 98 in d40b and d40c are erroneously coded in category 4 “Four or more” in d40b_r and d40c_r, they should be recoded to 98 “DK/NA [NOT DOCUMENTED]”. The value labels and categories will be corrected with the next update. | 2021-09-23 value labels and categories corrected |
Errata in current version:
| Date | Name | Description |
|---|---|---|
| 2021-10-06 | d62t1 | Value label for category 3 should read "Never/no access (6 or 6/7 in d62_1 to d62_4)". |
Publications: European Commission:
Special Eurobarometer 461. Designing Europe´s Future.
Conducted by TNS opinion & social at the request of Directorate-General for Communication. Survey co-ordinated by the Directorate-General for Communication (DG COMM ´Media monitoring and analysis´ Unit). Brussels, June 2017. https://ec.europa.eu/commfrontoffice/publicopinion/index.cfm/Survey/getSurveyDetail/instruments/SPECIAL/surveyKy/2173, European Commission:
Special Eurobarometer 462. E-Communications and Digital Single Market.
Conducted by TNS opinion & social at the request of Directorate-General for Networks, Content & Technology. Survey co-ordinated by the Directorate-General for Communication (DG COMM ´Media monitoring and analysis´ Unit). Brussels, July 2018. http://dx.doi.org/10.2759/043384
Study group: EB - Standard and Special Eurobarometer
Date(s) of Data Collection: 15.06.2016 - 24.06.2016
GESIS Data Archive, Cologne. ZA6783 Data file Version 1.0.0, https://doi.org/10.4232/1.12684
GESIS Data Archive, Cologne. ZA6783 Data file Version 1.0.0, https://doi.org/10.4232/1.12684
Abstract: Debt claims of companies. Insolvency.
Abstract: Debt claims of companies. Insolvency.
Content: Topics: debt claims of the company in 2015 against the following kinds of debtors and time of payment: domestic debtors, debtors in the European Union (plus Iceland, Liechtenstein, Norway, Switzerland), debtors in other countries; share of foreign debt claims in 2015 turnover (in percent); difficulty of recovering unpaid foreign or domestic debt claims in 2015; enforcement of unpaid debt claims of the abovementioned kinds via judicial or out-of-court procedures in 2015 in relation to amount of debt; importance of the rights against debtors with regard to investments in firms in foreign countries; difficulty of finding information on companies’ rights against debtors in foreign countries; important obstacles regarding investments in or trade with foreign firms.
Demography: information about the company: number of employees, year of company establishment; total turnover in 2015; development of turnover since January 2015 (in percent); region.
Additionally coded was: respondent ID; country; NACE-Code; nation group; weighting factor.
Topics: TRADE, INDUSTRY AND MARKETS, ECONOMICS
Date(s) of Data Collection: 15.06.2016 - 24.06.2016
Date(s) of Data Collection: 15.06.2016 - 24.06.2016, total, 15.06.2016 - 23.06.2016, Belgium, 15.06.2016 - 22.06.2016, Bulgaria, 15.06.2016 - 20.06.2016, Czech Republic, 15.06.2016 - 24.06.2016, Denmark, 15.06.2016 - 22.06.2016, Germany, 15.06.2016 - 17.06.2016, Estonia, 15.06.2016 - 23.06.2016, Ireland, 15.06.2016 - 24.06.2016, Greece, 15.06.2016 - 24.06.2016, Spain, 15.06.2016 - 24.06.2016, France, 15.06.2016 - 24.06.2016, Croatia, 15.06.2016 - 24.06.2016, Italy, 15.06.2016 - 21.06.2016, Republik of Cyprus, 15.06.2016 - 20.06.2016, Latvia, 15.06.2016 - 21.06.2016, Lithuania, 15.06.2016 - 22.06.2016, Luxembourg, 15.06.2016 - 24.06.2016, Hungary, 15.06.2016 - 22.06.2016, Malta, 15.06.2016 - 22.06.2016, Netherlands, 15.06.2016 - 23.06.2016, Austria, 15.06.2016 - 24.06.2016, Poland, 15.06.2016 - 24.06.2016, Portugal, 15.06.2016 - 24.06.2016, Romania, 15.06.2016 - 22.06.2016, Slovenia, 15.06.2016 - 23.06.2016, Slovakia, 15.06.2016 - 23.06.2016, Finland, 15.06.2016 - 24.06.2016, Sweden, 15.06.2016 - 24.06.2016, United Kingdom
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR), United Kingdom (GB)
Universe: The FLASH EUROBAROMETER 442 survey covers businesses employing 1 or more persons within Manufacturing (Nace category C), Retail (Nace category G), Services (Nace categories H/I/J/K/L/M/N/R) and Industry (Nace categories D/E/F) in the EU 28.
Number of Units: 13128
Sampling Procedure: • Probability: Stratified;
Analysis Unit: Organization/Institution
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: TNS Dimarso, Brussels, Belgium;
TNS BBSS, Sofia, Bulgaria;
TNS Aisa s.r.o., Prague, Czech Republic;
TNS Gallup, Copenhagen, Denmark;
TNS Infratest, Munich, Germany;
TNS Emor, Tallinn, Estonia;
IMS Millward Brown, Dublin, Ireland;
TNS ICAP, Athens, Greece;
TNS Demoscopia, Madrid, Spain;
TNS Sofres, Montrouge, France;
TNS Italia, Milan, Italy;
CYMAR, Nicosia, Cyprus;
TNS Latvia, Riga, Latvia;
TNS LT, Vilnius, Lithuania;
TNS Dimarso, Luxembourg, Luxembourg;
TNS Hoffmann Kft, Budapest, Hungary;
MISCO International Ltd, Valletta, Malta;
TNS NIPO, Amsterdam, Netherlands;
TNS Austria, Vienna, Austria;
TNS Polska, Warsaw, Poland;
TNS Euroteste, Lisbon, Portugal;
TNS CSOP, Bucharest, Romania;
Mediana, Ljubljana, Slovenia;
TNS Slovakia, Bratislava, Slovakia;
TNS Gallup Oy, Espoo, Finland;
TNS SIFO, Stockholm, Sweden;
TNS UK, London, United Kingdom;
HENDAL, Zagreb, Croatia;
TNS Political & Social, Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Number of Variables: 143
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels
DG Communication
COMM A1 ´Strategy, Corporate Communication Actions and Eurobarometer´ Unit -
Publication year: 2016
DOI: 10.4232/1.12684
Study number: ZA6783
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2016-12-19, https://doi.org/10.4232/1.12684
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2016-12-19 Archive release (current version) https://doi.org/10.4232/1.12684 |
Publications: European Commission: Insolvency. Conducted by TNS Political & Social at the request of the European Commission, Directorate-General for Justice and Consumers. Survey co-ordinated by the European Commission, Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, November 2016. DOI: 10.2838/05518
Study group: EB - Flash Eurobarometer
Linked
information:Variables (143)
information:Variables (143)
Tosun, Jale; Hörisch, Felix; Schuck, BettinaShore, Jennifer; Woywode, Michael; Strohmeyer, Robert; Kittel, Bernhard; Steiber, Nadia; Warmuth, Julia; Mühlböck, Monika; Lukes, Martin; Lorenc, Miroslav; Lorencová, Hana; Pauknerová, Daniela; Nový, Ivan; Jensen, Carsten; Arndt, Christoph; Littvay, Levente; Vegetti, Federico; Sata, Robert; Balea, Elena C.; Caserta, Maurizio; Boindo, Alessio E.; Reito, Francesco; Monteleone, Simona; Arco, José L.; Fernandez, Francisco; Hughes, Stephen; Carrillo, Francisco J.; Vancea, Mihaela; Jordana, Jacint; Freitag, Markus; Rapp, Carolin; Cemalcilar, Zeynep; Sümer, Nebi; Kamiloglu, Roza; Coskan, Canan; Maloney, William; Rainsford, Emily; Tsakloglou, Panos; Pierrakakis, Kyriakos; Christoforou, Asimina; Makantasi, Fay
Date(s) of Data Collection: 01.02.2016 - 30.04.2016
GESIS Data Archive, Cologne. ZA7475 Data file Version 1.0.0, https://doi.org/10.4232/1.13042
GESIS Data Archive, Cologne. ZA7475 Data file Version 1.0.0, https://doi.org/10.4232/1.13042
Abstract: The CUPESSE data is a survey of young adult residents of 11 European countries and their parents. It focuses on economic self-sufficiency, employability, entrepreneurship ... more
Abstract: The CUPESSE data is a survey of young adult residents of 11 European countries and their parents. It focuses on economic self-sufficiency, employability, entrepreneurship ... more
Topics: LABOUR AND EMPLOYMENT, DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), EDUCATION, SOCIETY AND CULTURE, HEALTH, POLITICS, PSYCHOLOGY, SOCIAL WELFARE POLICY AND SYSTEMS, SOCIAL STRATIFICATION AND GROUPINGS, ECONOMICS
Date(s) of Data Collection: 01.02.2016 - 30.04.2016
Geographic coverage: Austria (AT), Switzerland (CH), Czech Republic (CZ), Germany (DE), Denmark (DK), Hungary (HU), Italy (IT), United Kingdom (GB), Spain (ES), Greece (GR), Turkey (TR)
Universe: Young adults aged from 18 to 35 years
Number of Units: 20008
Sampling Procedure: • Mixed probability and non-probability;
Probability Sample
Non-probability Sample
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI)
• Face-to-face interview: Computer-assisted (CAPI/CAMI)
• Face-to-face interview: Paper-and-pencil (PAPI)
• Telephone interview: Computer-assisted (CATI);
Interview with young adults:
Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Face-to-face interview: PAPI (Paper and Pencil Interview)
Interview with parents:
Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Telephone interview: CATI (Computer Assisted Telephone Interview)
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Face-to-face interview: PAPI (Paper and Pencil Interview)
Data Collector: Austria: Gallup Austria;
Czech Republic: Median;
Demark: TNS Gallup Denmark;
Germany: YouGov;
Greece: unbekannt;
Hungary: TARKI;
Italy: SWG;
Spain: Netquest, MDK;
Switzerland: Gfs Bern;
Turkey: Infakto Research Workshop;
United Kingdom: IPSOS Mori
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric
Number of Variables: 426
Notes: Survey unit: adults###
Principal Investigator/ Authoring Entity, Institution: Tosun, Jale - Heidelberg University, Heidelberg, Germany, Hörisch, Felix - Heidelberg University, Heidelberg, Germany, Schuck, Bettina - Heidelberg University, Heidelberg, Germany, Shore, Jennifer - Heidelberg University, Heidelberg, Germany, Woywode, Michael - Mannheim University, Mannheim, Germany, Strohmeyer, Robert - Mannheim University, Mannheim, Germany, Kittel, Bernhard - University of Vienna, Vienna, Austria, Steiber, Nadia - University of Vienna, Vienna, Austria, Warmuth, Julia - University of Vienna, Vienna, Austria, Mühlböck, Monika - University of Vienna, Vienna, Austria, Lukes, Martin - University of Economics, Prague, Czech Republic, Lorenc, Miroslav - University of Economics, Prague, Czech Republic, Lorencová, Hana - University of Economics, Prague, Czech Republic, Pauknerová, Daniela - University of Economics, Prague, Czech Republic, Nový, Ivan - University of Economics, Prague, Czech Republic, Jensen, Carsten - Aarhus University, Aarhus, Denmark, Arndt, Christoph - Aarhus University, Aarhus, Denmark, Littvay, Levente - Central European University, Budapest, Hungary, Vegetti, Federico - Central European University, Budapest, Hungary, Sata, Robert - Central European University, Budapest, Hungary, Balea, Elena C. - Central European University, Budapest, Hungary, Caserta, Maurizio - University of Catania, Catania, Italy, Boindo, Alessio E. - University of Catania, Catania, Italy, Reito, Francesco - University of Catania, Catania, Italy, Monteleone, Simona - University of Catania, Catania, Italy, Arco, José L. - University of Granada, Granada, Spain, Fernandez, Francisco - University of Granada, Granada, Spain, Hughes, Stephen - University of Granada, Granada, Spain, Carrillo, Francisco J. - University of Granada, Granada, Spain, Vancea, Mihaela - Pompeu Fabra University of Barcelona, Barcelona, Spain, Jordana, Jacint - Pompeu Fabra University of Barcelona, Barcelona, Spain, Freitag, Markus - University of Bern, Bern, Switzerland, Rapp, Carolin - University of Bern, Bern, Switzerland, Cemalcilar, Zeynep - Koç University of Istanbul, Istanbul, Turkey, Sümer, Nebi - Koç University of Istanbul, Istanbul, Turkey, Kamiloglu, Roza - Koç University of Istanbul, Istanbul, Turkey, Coskan, Canan - Koç University of Istanbul, Istanbul, Turkey, Maloney, William - Newcastle University upon Tyne, Newcastle, United Kingdom, Rainsford, Emily - Newcastle University upon Tyne, Newcastle, United Kingdom, Tsakloglou, Panos - diaNEOsis, Athens, Greece, Pierrakakis, Kyriakos - diaNEOsis, Athens, Greece, Christoforou, Asimina - diaNEOsis, Athens, Greece, Makantasi, Fay - diaNEOsis, Athens, Greece
Publication year: 2018
DOI: 10.4232/1.13042
Study number: ZA7475
Contributor, Institution, Role: GESIS - Distributor, GESIS - HostingInstitution
Publisher: GESIS Data Archive
Current Version: 1.0.0, 2018-06-05, https://doi.org/10.4232/1.13042
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2018-06-05 first archive edition (current version) https://doi.org/10.4232/1.13042 |
Publications: http://cupesse.eu/publications/, Tosun, J., Arco-Tirado, J.L., Caserta, M. et al.:
Perceived economic self-sufficiency: a country- and generation-comparative approach.
In: European Political Science (2018), online first
https://link.springer.com/content/pdf/10.1057%2Fs41304-018-0186-3.pdf
Study group: GESIS Community Data
Linked
information:Publications (2)
information:Publications (2)
Date(s) of Data Collection: 11.10.2014 - 20.10.2014
GESIS Data Archive, Cologne. ZA5931 Data file Version 3.0.0, https://doi.org/10.4232/1.12999
GESIS Data Archive, Cologne. ZA5931 Data file Version 3.0.0, https://doi.org/10.4232/1.12999
Other Title (type): Quality of Transport, Cyber Security, Value Added Tax, and Public Health (Subtitle)
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Content: Topics: 1. Quality of transport: most often used mode of transport and reasons for using; preconditions for using public transport more often; number of journeys of 300 km or more within the EU (including the own country) in the last twelve months; used mode of transport and reasons for using; applicability of the following characteristics to the last journey: reasonable price, no delay, enough amenities for passengers, safe; development of the quality of selected means of transport in the last five years in the own country: air transport, rail transport, road transport, sea or river transport; most serious problems with regard to rail transport and air transport in the own country; importance to take liquids above the current limit on board; most serious problems with regard to sea or river transport in the own country; most serious problems with regard to road transport in the own country; prioritized measures for improving road safety in the own country; desire to have own vehicle connected in order to improve traffic management and make journeys easier and safer: at all times, at all times but only if personal data is anonymized, only on personal case-by-case decision, no; prioritized measures to increase attractiveness of transport sector for job seekers; frequency of traveling by commercial ship or boat and most frequent purposes; importance of each the following elements when planning a journey by ship or by boat: price, timetable, amenities on board, shipping line, published safety records, availability of destinations at closest port, available connections, quality of ships and boats; assessment of the safety of each of the following ships or boats: cruise ships, ships used for daily commuting, ferries for vehicles and passengers, small ships for sightseeing and excursions, sailing ships; factors that would increase respondent’s confidence in the shipping line while being aboard a ship.
2. Cyber security: self-rated knowledge about the risks of cybercrime; devices used to access the internet; frequency of the following online activities: banking, buy goods or services, sell goods or services, use social networks, email, read news, play games, watch TV; attitudes towards online banking and online shopping: preference for conducting transactions in person, concerns with regard to the security of online payments, concerns with regard to the misuse of personal data, concerns with regard to not receiving bought goods or services; changes in the way of internet use due to security issues; measures taken in the own household to protect children under 16 years from online harassment; concern about becoming a victim of each of the following types of cyber criminal activities: identity theft, receiving emails or phone calls asking for personal data, online fraud, encountering child pornography, encountering material promoting racial hatred or religious extremism, denial of access to online services, personal social media or email account being hacked, bank card or online banking fraud, being asked for a payment in return for getting back control over personal device, malicious software on personal device; frequency of having experienced the aforementioned situations; authorities to contact in each of the aforementioned situations: police, website or vendor, internet service provider, consumer protection organisation; attitude towards selected statements: concern about online personal information not being kept secure by websites, concern about online personal information not being kept secure by public authorities, avoidance of disclosing personal information online, increase of the risk of becoming a victim of cybercrime, appropriate ability of the respondent to protect himself / herself; change of password of the following online services during the last twelve months: email account, social networks, shopping websites, banking websites, games, public services websites.
3. Public perception of Value Added Tax (VAT): knowledge of the standard VAT rate in the own country (in percent); importance of VAT as a revenue source for the national public budget; level of national VAT rate compared to other EU member states; awareness of the reduced VAT rate in the own country for certain goods or services; significance of the impact of the reduced VAT for the national public budget; preferred statement regarding reduced VAT rates: should continue unchanged, should be abolished and be replaced by annual fixed cash allowances for every household, should be abolished and be replaced by annual fixed cash allowances for poorer households, should be abolished and the standard VAT rate on all goods and services should be lowered; online purchase of goods and services for private purposes in the last twelve months from sellers located: in the own country, in other EU countries, outside the EU, location unknown; activities in the last twelve months: shopping trip to another EU member state, purchase of goods or services while on holiday or on a business trip; purchase of at least one good or service from another EU member state for any of the following reasons: lower prices than in the own country, better quality than in the own country, bigger choice than in the own country.
4. Public health / Patient rights: self-rated knowledge about the reimbursability of healthcare services: in the own country, in another EU country; preferred sources of information on the reimbursability of healthcare services in another EU country; desired information: rights to receive healthcare in general, level of reimbursement, quality standards, reputation of healthcare providers, opinions of other patients, waiting times, information on healthcare providers; knowledge test on healthcare in another EU country: right to receive medical treatment and get reimbursed by national health authority or healthcare insurance, no possibility to use national prescriptions, right to receive a copy of medical record; necessity for prior authorization from national health authority or healthcare insurance to obtain medical treatment in another EU country: for all kinds of treatment, only for hospital care, only for highly specialized healthcare; medical treatment in another EU country in the last twelve months: unplanned, planned; problems regarding the reimbursement of the last treatment; willingness to travel to another EU country to receive medical treatment: depends on the country, depends on the type of treatment; reasons for traveling to another EU country to receive medical treatment: less waiting time, cheaper, better quality, renowned specialist, treatment not available in own country; preferred kinds of treatment: diagnostic treatment, dental treatment, hip replacement, treatment for kidney stones, knee prostheses, hernia repair, heart surgery, cancer treatment, cataract treatment; reasons for not traveling to another EU country to receive medical treatment: satisfied with treatments in the own country, more convenient to be treated near one’s home, lack of information regarding availability and quality of treatments abroad, language issues, not affordable, unawareness of own rights in case of problems, lack of information on patient safety and quality of care, uncertainty of reimbursement; awareness of a national contact point in each member state providing information on cross-border healthcare inside the EU; personal contact to a national contact point: in the own country, in other EU member states.
5. Public health / Blood, cell and tissue donations: donations of blood, plasma, bone marrow, umbilical cord blood, sperm, and eggs: donation and willingness to donate in the future, donation and no willingness to donate in the future, no donation to date but willingness to donate, no donation to date and no willingness; willingness to donate the following tissues after death: bone, skin, parts of the eye, heart valves or blood vessels; reasons for willingness; actions taken to make known own willingness to donate: discussions with relatives or friends, posted intentions on online social network, registration on a public register for donors of organs, tissues, and cells after death, registration on a register for bone marrow donors; attitude towards selected recompenses for donating blood or plasma: refreshments, physical check-up, testing, medical treatments, non-cash-items, reimbursement of travel costs, additional cash amounts, time off work for the time needed for donation and recovery; attitude towards selected recompenses for donating other body substances: refreshments, physical check-up, testing, medical treatments (except fertility treatments), free or less expensive fertility treatments, non-cash-items, reimbursement of travel costs, additional cash amounts, time off work for the time needed for donation and recovery, depends on type of body substance; acceptance to be treated with one of the aforementioned substances coming from donation; assessment of the safety of blood transfusion and cell or tissue transplantation in the own country for recipients; biggest concerns in case of being treated with donated blood, cells, or tissues: opposition to religious belief, medical complications, risk of contracting diseases, lack of treatment effectiveness, medical errors, paid donor, donation from another EU member state, donation from outside the EU; acquainted person having received one of the aforementioned donated substances; prioritized areas of EU legislation for blood transfusion and cell and tissue transplantation: substance safety and quality, substance availability, donor protection, information of patients, safety and quality of substances imported from outside the EU, development of initiatives to increase donation, development of policies to ensure the medical necessity of using donated substances.
Demography: nationality; left-right self-placement; marital status; age at end of education; sex; age; occupation; professional position; type of community; household composition and household size; own a mobile phone and fixed (landline) phone; possession of durable goods (entertainment electronics, internet connection, possession of a car, a flat/a house have finished paying for or still paying for); financial difficulties during the last year; self-rated social position (scale); internet use (at home, at work, at school); self-reported belonging to the working class, the middle class or the upper class of society; life satisfaction; frequency of discussions about political matters on national, European, and local level; own voice counts in the own country and in the EU; general direction things are going in the own country and in the EU.
Additionally coded was: respondent ID; country; date of interview; time of the beginning of the interview; duration of the interview; number of persons present during the interview; respondent cooperation; size of locality; region; language of the interview; nation group; weighting factor.
Topics: LAW, CRIME AND LEGAL SYSTEMS, Crime and law enforcement, Information society, TRANSPORT AND TRAVEL, ECONOMICS, Consumption and consumer behaviour, Public health, Health care services and policies, Medication and treatment
Date(s) of Data Collection: 11.10.2014 - 20.10.2014
Date(s) of Data Collection: 11.10.2014 - 20.10.2014, total, 11.10.2014 - 20.10.2014, Belgium, 11.10.2014 - 20.10.2014, Bulgaria, 11.10.2014 - 20.10.2014, Czech Republic, 11.10.2014 - 20.10.2014, Denmark, 11.10.2014 - 20.10.2014, Germany, 11.10.2014 - 20.10.2014, Estonia, 11.10.2014 - 20.10.2014, Ireland, 11.10.2014 - 20.10.2014, Greece, 11.10.2014 - 20.10.2014, Spain, 11.10.2014 - 20.10.2014, France, 11.10.2014 - 20.10.2014, Croatia, 11.10.2014 - 20.10.2014, Italy, 11.10.2014 - 18.10.2014, Cyprus, 11.10.2014 - 20.10.2014, Latvia, 11.10.2014 - 20.10.2014, Lithuania, 11.10.2014 - 20.10.2014, Luxembourg, 11.10.2014 - 20.10.2014, Hungary, 11.10.2014 - 20.10.2014, Malta, 11.10.2014 - 20.10.2014, Netherlands, 11.10.2014 - 20.10.2014, Austria, 11.10.2014 - 20.10.2014, Poland, 11.10.2014 - 20.10.2014, Portugal, 11.10.2014 - 20.10.2014, Romania, 11.10.2014 - 20.10.2014, Slovenia, 11.10.2014 - 20.10.2014, Slovakia, 11.10.2014 - 20.10.2014, Finland, 11.10.2014 - 20.10.2014, Sweden, 11.10.2014 - 20.10.2014, United Kingdom
Geographic coverage: Austria (AT), Belgium (BE), Bulgaria (BG), Cyprus (CY), Czech Republic (CZ), Germany (DE), Denmark (DK), Estonia (EE), Spain (ES), Finland (FI), France (FR), Great Britain (GB-GBN), Northern Ireland (GB-NIR), Greece (GR), Croatia (HR), Hungary (HU), Ireland (IE), Italy (IT), Lithuania (LT), Luxembourg (LU), Latvia (LV), Malta (MT), Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Sweden (SE), Slovenia (SI), Slovakia (SK)
Universe: Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 28 Member States and aged 15 years and over.
Number of Units: 27868
Sampling Procedure: Probability Sample: Multistage Sample
Mode of Data Collection: Face-to-face interview
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Data Collector: TNS Dimarso, Brussels, Belgium;
TNS BBSS, Sofia, Bulgaria;
TNS Aisa, Prague, Czech Republic;
TNS GALLUP DK, Copenhagen, Denmark;
TNS Infratest, Munich, Germany;
TNS Emor, Tallinn, Estonia;
Behaviour & Attitudes, Dublin, Ireland;
TNS ICAP, Athens, Greece;
TNS Spain, Madrid, Spain;
TNS Sofres, Montrouge, France;
TNS Italia, Milan, Italy;
CYMAR Market Research, Nicosia, Cyprus;
TNS Latvia, Riga, Latvia;
TNS LT, Vilnius, Lithuania;
TNS ILReS, Luxembourg, Luxembourg;
TNS Hoffmann Kft, Budapest, Hungary;
MISCO, Valletta, Malta;
TNS NIPO, Amsterdam, Netherlands;
ipr Umfrageforschung, Vienna, Austria;
TNS Polska, Warsaw, Poland;
TNS Portugal, Lisbon, Portugal;
TNS CSOP, Bucharest, Romania;
RM PLUS, Maribor, Slovenia;
TNS Slovakia, Bratislava, Slovakia;
TNS GALLUP Oy, Espoo, Finland;
TNS Sifo, Stockholm and Gothenburg, Sweden;
TNS UK, London, United Kingdom;
HENDAL, Zagreb, Croatia;
TNS opinion, Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Number of Variables: 769
Notes: Module QB on ´Cyber Security´ largely replicates questions asked in the context of Eurobarometer 79.4.
Category scheme for country specific protocol variables P6 (SIZE OF COMMUNITY) has changed considerably, except for Germany. Categories for all other countries have been harmonized among each other to three values (Rural area - Towns and suburbs / small urban area - Cities / large urban areas).
Category scheme for country specific protocol variables P7 (REGION) have changed for some countries, in particular introducing NUTS categories for Ireland, Estonia and Croatia.
Data for protocol variables p8 (postal code), p9 (sample point number) and p10 (interviewer number) have not been made available.
Principal Investigator/ Authoring Entity, Institution: - European Commission, Brussels; Directorate General Communication COMM.A.1 ´Strategy, Corporate Communication Actions and Eurobarometer´
Publication year: 2018
DOI: 10.4232/1.12999, 10.4232/1.12876, 10.4232/1.12380, 10.4232/1.12216
Alternate IDs: doi:10.3886/ICPSR36662.v1
Study number: ZA5931
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 3.0.0, 2018-03-20, https://doi.org/10.4232/1.12999
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 3.0.0 | 2018-03-20 Archive edition (current version) https://doi.org/10.4232/1.12999 |
| 2.1.0 | 2017-09-05 Archive pre-release update https://doi.org/10.4232/1.12876 |
| 2.0.0 | 2015-11-09 Archive pre-release (embargo update https://doi.org/10.4232/1.12380 |
| 1.0.0 | 2015-04-30 Archive pre-release https://doi.org/10.4232/1.12216 |
Version changes: Changes between version 3.0.0 and it's previous version
Changes between version 2.1.0 and it's previous version
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2018-03-14 | qd6_1 and qd6_2 | Please note that the variable labels for variables qd6_1 and qd6_2 are erroneously reversed. Variable label for qd6_1 should read "MEDICAL TREATMENT IN EU: YES NOT PLANNED". Variable label for qd6_2 should read "MEDICAL TREATMENT IN EU: YES PLANNED". The variable labels will be corrected with the next update. | 2018-03-20 variable labels corrected |
| 2018-03-08 | qe4.1 to qe4.7 | Please note that the value label for value 9 in variables qe4.1 to qe4.7 should read “Inap. (2, 4 or 5 in qe1_3 and not 1 in qe2_1 to qe2_4)”. The filter routing is correct. The value labels will be corrected with the next update. | 2018-03-20 value labels corrected |
| 2018-02-22 | d46t1 | Recoded variable d46t1 „OWNERSHIP APARTMENT/HOUSE (D46_10_11 SUMMARIZED)“ is erroneous and should not be used without correction. The variable will be corrected with the next update. | 2018-03-20 variable corrected |
| 2018-02-22 | qa5.1-qa7_4 | Please note that the value label for value 9 in variables qa5.1 to qa7_4 should read “Inap. (1 or 6 in qa4)”. The filter routing is correct. The value labels will be corrected with the next update. | 2018-03-20 value labels corrected |
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2017-09-01 | d72_1, d72_2 | The variable labels have erroneously been switched: Variable label for d72_1 should read “MY VOICE COUNTS - IN THE EU” and variable label for d72_2 should read “MY VOICE COUNTS - IN (OUR COUNTRY)”. The variable labels will be corrected with the next update. | 2017-09-05 variable labels corrected |
| 2016-07-28 | p7at, p7at_r | Please notice that value label for code 6 in p7at should read "Kaernten (Carinthia)". As confirmed by TNS, the addition of Osttirol (Eastern Tyrol) as suggested by the original value label is not correct. Herewith variable p7at corresponds to the NUTS 2 classification for Austria. Variables labels should read: p7at “REGION - AUSTRIA NUTS 2” and p7at_r “REGION - AUSTRIA NUTS 1”. The value label and variable labels will be corrected with the next update. | 2017-09-05 value label and variable labels corrected |
Publications: European Commission: Special Eurobarometer 422a: Quality of transport. Conducted by TNS opinion & social at the request of the Directorate-General for Mobility and Transport (DG MOVE). Survey co-ordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, December 2014.
http://dx.doi.org/10.2832/783021, European Commission: Special Eurobarometer 422b: Europeans experience with using ships and perceptions of maritime safety. Conducted by TNS opinion & social at the request of the Directorate-General for Mobility and Transport (DG MOVE). Survey co-ordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, March 2015.
http://dx.doi.org/10.2832/987714, European Commission: Special Eurobarometer 423: Cyber security. Conducted by TNS opinion & social at the request of the Directorate-General for Home Affairs. Survey co-ordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, February 2015.
http://dx.doi.org/10.2837/411118, European Commission: Special Eurobarometer 424: Public perceptions of VAT. Conducted by TNS opinion & social at the request of the Directorate-General for Taxation and Customs Union. Survey co-ordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, March 2015.
http://dx.doi.org/10.2778/976195, European Commission: Special Eurobarometer 425: Patients’ rights in cross-border healthcare in the European Union. Conducted by TNS opinion & social at the request of the Directorate-General for Health and Consumers (SANCO). Survey co-ordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, May 2015. http://dx.doi.org/10.2875/75886 , European Commission: Special Eurobarometer 426: Blood and Cell and Tissue Donation. Conducted by TNS opinion & social at the request of the Directorate-General for Health and Consumers (SANCO). Survey co-ordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, August 2015. http://dx.doi.org/10.2875/402609
Study group: EB - Standard and Special Eurobarometer
Date(s) of Data Collection: 08.09.2014 - 10.09.2014
GESIS Data Archive, Cologne. ZA6282 Data file Version 1.0.0, https://doi.org/10.4232/1.12347
GESIS Data Archive, Cologne. ZA6282 Data file Version 1.0.0, https://doi.org/10.4232/1.12347
Abstract: Attitudes towards EU competition policy.
Abstract: Attitudes towards EU competition policy.
Content: Topics: attitude towards selected statements regarding competition between companies: allows for better consumer prices, for more choice for consumers, and for higher quality, encourages innovation and economic growth; experiences regarding a lack of competition in the following sectors resulting in higher prices, a reduction in choice, or lower quality: telecommunication and internet access, energy, financial services, transport services, food retailing, pharmaceutical products, others, none; main problems in the mentioned sectors; preferred point of contact in case of encountering the aforementioned problems: national competition authority, other authorities in the own country, consumer organisations in the own country, police, court, European Commission; awareness of issues with regard to competition policies in the media in the last year; sources of the information; assessment of the impact of competition on consumers; awareness of competition-related decisions against a company taken by a competition authority; awareness of the executing authority.
Demography: age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size.
Additionally coded was: respondent ID; type of phone line; nation group; weighting factor.
Topics: ECONOMICS, Consumption and consumer behaviour, Economic policy, public expenditure and revenue, Economic systems and development, International politics and organisations
Date(s) of Data Collection: 08.09.2014 - 10.09.2014
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR), United Kingdom (GB)
Universe: Population of the respective nationalities of the European Union Member States, resident in each of the 28 Member States and aged 15 years and over
Number of Units: 26549
Sampling Procedure: • Probability: Multistage;
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: TNS Dimarso, Brussels, Belgium;
TNS BBSS, Sofia, Bulgaria;
TNS Aisa s.r.o., Prague, Czech Republic;
TNS GALLUP A/S, Copenhagen, Denmark;
TNS Infratest, Munich, Germany;
TNS Emor, Tallinn, Estonia;
IMS Millward Brown, Dublin, Ireland;
TNS ICAP, Athens, Greece;
TNS Demoscopia S.A., Madrid, Spain;
TNS Sofres, Montrouge, France;
TNS ITALIA, Milan, Italy;
CYMAR, Nicosia, Cyprus;
TNS Latvia, Riga, Latvia;
TNS Lithuania, Vilnius, Lithuania;
TNS Dimarso, Luxembourg, Luxembourg;
TNS Hoffmann Kft, Budapest, Hungary;
MISCO International Ltd, Valletta, Malta;
TNS NIPO, Amsterdam, Netherlands;
TNS Austria, Vienna, Austria;
TNS OBOP, Warsaw, Poland;
TNS EUROTESTE, Lisbon, Portugal;
TNS CSOP, Bucharest, Romania;
RM PLUS, Maribor, Slovenia;
TNS AISA Slovakia, Bratislava, Slovakia;
TNS GALLUP Oy, Espoo, Finland;
TNS SIFO, Stockholm, Sweden;
TNS UK, London, United Kingdom;
HENDAL, Zagreb, Croatia;
TNS Political & Social, Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Number of Variables: 251
Principal Investigator/ Authoring Entity, Institution: - European Commission, Brussels DG Communication COMM A1 ´Strategy, Corporate Communication Actions and Eurobarometer´ Unit
Publication year: 2015
DOI: 10.4232/1.12347
Study number: ZA6282
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2015-09-10, https://doi.org/10.4232/1.12347
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2015-09-10 Archive release (current version) https://doi.org/10.4232/1.12347 |
Publications: European Commision: Flash Eurobarometer 403. Citizens’ Perception about Competition Policy. Conducted by TNS Political & Social at the request of the European Commission, Directorate-General for Competition. Survey co-ordinated by the European Commission, Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, March 2015. DOI: 10.2763/941795
Study group: EB - Flash Eurobarometer
Linked
information:Variables (251)
information:Variables (251)
Date(s) of Data Collection: 31.05.2014 - 14.06.2014
GESIS Data Archive, Cologne. ZA5928 Data file Version 3.0.0, https://doi.org/10.4232/1.12956
GESIS Data Archive, Cologne. ZA5928 Data file Version 3.0.0, https://doi.org/10.4232/1.12956
Other Title (type): Standard Eurobarometer 81 (Alternative Title), Europe 2020, Financial and Economic Crisis, European Citizenship, and Living Conditions (Alternative Title)
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Content: Topics: 1. Attitudes towards the EU (standard EU and trend questions): life satisfaction; assessment of the current situation in the following areas: national economy, European economy, personal job situation, financial situation of the own household, national employment situation, quality of life in the own country, quality of life in the EU; expectations for the next twelve months regarding: personal life in general, national economic situation, financial situation of the own household, national employment situation, personal job situation, economic situation in the EU; most important problems in the own country, personally, and in the EU; assessment of the own country’s assumed membership in the EU as a good thing; trust in selected institutions: political parties, national government, national parliament, European Union, United Nations, regional or local public authorities; image of the EU; meaning of the EU to the respondent; most suitable attributes for describing the EU: modern, democratic, protective, efficient, bureaucratic, remote; approval of the following statements on the EU: creates conditions for more jobs in Europe, is responsible for austerity in Europe, makes doing business easier in Europe, generates too much bureaucracy, will emerge fairer from the crisis, makes the financial sector behave more responsibly, makes the cost of living cheaper in Europe, makes quality of life better in Europe, helps tackle global threats and challenges, helps protect its citizens, needs a clearer message; knowledge of and trust in selected institutions : European Parliament, European Commission, European Central Bank; knowledge test on the EU: number of member states, direct election of the members of the European Parliament by the citizens of each member state, Switzerland is a member of the EU; attitude towards the following issues: European economic and monetary union with one single currency, common foreign policy of all member states, further enlargement, common defence and security policy; satisfaction with the democracy in the own country and in the EU; approval of the following statements: respondent understands how the EU works, globalisation as an opportunity for economic growth, better development of the own country outside the EU, further development into federation of nation states, more decisions to be taken at EU level, need for a united Europe; current and prioritized main objective in building Europe; optimism about the future of the EU.
2. Europe 2020 strategy: likelihood to reach the following objectives by 2020: three quarters of people between 20 and 64 years of age having a job, share of funds invested in research and development reaching 3% of the wealth produced in the EU each year, reduction of EU greenhouse gas emissions by at least 20% (compared to 1990), increase of the share of renewable energy in the EU by 20%, increase of energy efficiency in the EU by 20%, reduction of the share of young people leaving school without qualifications to 10%, at least 40% of the people aged 30 to 34 having a higher education degree or diploma, reduction of the number of people living below the poverty line by a quarter; EU is going in the right direction to exit the crisis and face new global challenges.
3. Financial and economic crisis: impact of the economic crisis on the job market has already reached its peak; most effective institution to fight the effects of the financial and economic crisis: national government, EU, United States, G20, International Monetary Fund; approval of the following statements: own country needs reforms to face the future, EU member states should increase cooperation to tackle financial and economic crisis, measures to reduce public deficit and debt in the own country cannot be delayed, measures to reduce public deficit and debt in the own country are not a priority for now, EU has sufficient power and tools to defend its economic interests globally; assessment of the effectiveness of selected measures to tackle the current financial and economic crisis: more important role for the EU in regulating financial services, EU approval in advance of member states’ government budgets, fines for governments spending or borrowing too much, central supervision of banking system at EU level; approval of introducing a tax on financial transactions or Eurobonds.
4. European citizenship: approval of the following statements: feeling of being a citizen of the EU, knowledge of the rights of EU citizens, desire for more information on the rights of EU citizens; desired additional information on citizens’ rights; feeling of national and / or European identity; most positive results of the EU; personal benefit from the following EU achievements: reduced border controls, improved consumer rights when shopping in another EU country, cheaper calls when using a mobile phone in another EU country, receiving medical assistance in another EU country, strengthened rights of air transport passengers, working, living, or studying in another EU country, less expensive flights and wider choice of airlines; most important factors for creating a feeling of community among EU citizens; values that best represent the EU.
5. Living conditions in the EU: satisfaction with selected issues of daily life: own house or flat, quality of life in residential area, own standard of living, own state of health, time for personal interests; most important things for getting ahead in life; applicability of the following to the national social welfare system: provides wide enough coverage, could serve as a model for other countries, too expensive for national society; feeling of safety in residential area; approval of the following statements: feeling to be left out of society, feeling of being looked down upon because of income or job situation, risk of falling into poverty; preferred statement: anyone is at risk of poverty at some time in their lives, risk of poverty is confined to certain groups of people.
Demography: nationality; general direction things are going in the own country and in the EU; own voice counts in the own country and in the EU; left-right self-placement; marital status; age at end of education; sex; age; occupation; professional position; type of community; household composition and household size; possession of durable goods (entertainment electronics, Internet connection, possession of a car, a flat / a house have finished paying for or still paying for); financial difficulties during the last year; self-rated social position (scale); internet use (at home, at work, at school); self-reported belonging to the working class, the middle class or the upper class of society; frequency of political discussions about local, national, and European matters with friends and relatives.
Additionally coded was: respondent ID; country; questionnaire split; number of persons present during the interview; respondent cooperation; size of locality; region; language of the interview; nation group; weighting factor.
Topics: Cultural and national identity, POLITICS, International politics and organisations, ECONOMICS, Economic conditions and indicators, Economic systems and development, Economic policy, public expenditure and revenue
Date(s) of Data Collection: 31.05.2014 - 14.06.2014
Date(s) of Data Collection: 31.05.2014 - 14.06.2014, total, 31.05.2014 - 09.06.2014, Belgium, 31.05.2014 - 09.06.2014, Bulgaria, 31.05.2014 - 09.06.2014, Czech Republic, 31.05.2014 - 09.06.2014, Denmark, 31.05.2014 - 09.06.2014, Germany, 31.05.2014 - 09.06.2014, Estonia, 31.05.2014 - 09.06.2014, Ireland, 31.05.2014 - 09.06.2014, Greece, 31.05.2014 - 09.06.2014, Spain, 31.05.2014 - 09.06.2014, France, 31.05.2014 - 09.06.2014, Croatia, 31.05.2014 - 09.06.2014, Italy, 31.05.2014 - 09.06.2014, Republic of Cyprus, 31.05.2014 - 09.06.2014, Latvia, 31.05.2014 - 09.06.2014, Lithuania, 31.05.2014 - 09.06.2014, Luxembourg, 31.05.2014 - 09.06.2014, Hungary, 31.05.2014 - 09.06.2014, Malta, 31.05.2014 - 09.06.2014, Netherlands, 31.05.2014 - 09.06.2014, Austria, 31.05.2014 - 09.06.2014, Poland, 31.05.2014 - 09.06.2014, Portugal, 31.05.2014 - 09.06.2014, Romania, 31.05.2014 - 10.06.2014, Slovenia, 31.05.2014 - 10.06.2014, Slovakia, 31.05.2014 - 10.06.2014, Finland, 31.05.2014 - 12.06.2014, Sweden, 31.05.2014 - 14.06.2014, United Kingdom, 31.05.2014 - 09.06.2014, Turkish Cypriot Community, 31.05.2014 - 10.06.2014, Turkey, 31.05.2014 - 09.06.2014, Former Yugoslav Republic of Macedonia, 31.05.2014 - 09.06.2014, Iceland, 31.05.2014 - 09.06.2014, Montenegro, 31.05.2014 - 09.06.2014, Serbia
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR), Turkey (TR), North Macedonia (MK), Iceland (IS), Montenegro (ME), Serbia (RS), Great Britain (GB-GBN), Northern Ireland (GB-NIR)
Universe: Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 28 Member States and aged 15 years and over.
The survey has also been conducted in the five candidate countries (Turkey, the Former Yugoslav Republic of Macedonia, Iceland, Montenegro and Serbia) and in the Turkish Cypriot Community. In these countries, the survey covers the national population of citizens and the population of citizens of all the European Union Member States that are residents in these countries and have a sufficient command of the national languages to answer the questionnaire.
Number of Units: 32689
Sampling Procedure: Probability Sample: Multistage Sample
Mode of Data Collection: Face-to-face interview
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Data Collector: TNS Dimarso, Brussels, Belgium;
TNS BBSS, Sofia, Bulgaria;
TNS Aisa, Prague, Czech Republic;
TNS GALLUP DK, Copenhagen, Denmark;
TNS Infratest, Munich, Germany;
TNS Emor, Tallinn, Estonia;
Behaviour & Attitudes, Dublin, Ireland;
TNS ICAP, Athens, Greece;
TNS Spain, Madrid, Spain;
TNS Sofres, Montrouge, France;
TNS Italia, Milan, Italy;
CYMAR Market Research , Nicosia, Cyprus;
TNS Latvia, Riga, Latvia;
TNS LT, Vilnius, Lithuania;
TNS ILReS, Luxembourg, Luxembourg;
TNS Hoffmann Kft, Budapest, Hungary;
MISCO, Valletta, Malta;
TNS NIPO, Amsterdam, Netherlands;
ipr Umfrageforschung, Vienna, Austria;
TNS Polska, Warsaw, Poland;
TNS Portugal, Lisbon, Portugal;
TNS CSOP, Bucharest, Romania;
RM PLUS, Maribor, Slovenia;
TNS Slovakia, Bratislava, Slovakia;
TNS GALLUP Oy, Espoo, Finland;
TNS Sifo, Stockholm and Gothenburg, Sweden;
TNS UK, London, United Kingdom;
HENDAL, Zagreb, Croatia;
Kadem, Nicosia, Turkish Cypriot Community;
TNS PIAR, Istanbul, Turkey;
TNS Brima, Skopje, Macedonia;
Capacent, Reykjavik, Iceland;
TNS Medium Gallup, Belgrade, Serbia (for Serbia and Montenegro);
TNS opinion, Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Number of Variables: 610
Notes: All question modules are asked in the standard Eurobarometer context and largely replicate questions asked in the context of Eurobarometer 80.1 [ZA5876].
Category scheme for country specific protocol variables P6 (SIZE OF COMMUNITY) has changed considerably, except for Germany. Categories for all other countries have been harmonized among each other to three values (Rural area - Towns and suburbs / small urban area - Cities / large urban areas). For TURKEY the data provided by TNS do not match with the new scheme, but most likely appear to match with the former 5-point scheme. Value labels applied in former versions were not correct and non-matching data were coded to ´99´ (SYSTEM MISSING in the original data set). Variable p6tr has been reconstructed by the archive for dataset version v3-0-0 using SIZE OF COMMUNITY data for Turkey included in a former integrated variable P6 (ALL COUNTRIES) with the “old” 5-point category scheme.
Category scheme for country specific protocol variables P7 (REGION) has changed for some countries, in particular introducing NUTS categories for Ireland, Estonia and Croatia.
Data for protocol variables p1 (date of interview), p2 (time of interview), p3 (duration of interview), p8 (postal code), p9 (sample point number) and p10 (interviewer number) have not been made available.
Two duplicate cases (one doublet) in terms of identical coding of all substantial variables (except qd5_1) and demographics have been identified for Austria. The corresponding case id variables are not identical. UNIQID is coded ‘12002223’/’12002585’. CASEID is coded ‘2223’/’2585’.
An dataset update has been provided by TNS and all populations size weighting variables, protocol variables p4 and p5, a few corrected variables (d8, qa12_6, qd7.4, qd7.14) and slightly differently constructed variables (gen1, gen3, gen6) have subsequently been merged into the first dataset release (v1.0.0) by the archive.
Principal Investigator/ Authoring Entity, Institution: - European Commission, Brussels; Directorate General Communication COMM.A.1 ´Strategy, Corporate Communication Actions and Eurobarometer´
Publication year: 2018
DOI: 10.4232/1.12956, 10.4232/1.12201, 10.4232/1.12170
Alternate IDs: doi:10.3886/ICPSR36660.v1
Study number: ZA5928
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 3.0.0, 2018-01-04, https://doi.org/10.4232/1.12956
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 3.0.0 | 2018-01-04 Archive edition (current version) https://doi.org/10.4232/1.12956 |
| 2.0.0 | 2015-03-17 Archive pre-release (update) https://doi.org/10.4232/1.12201 |
| 1.0.0 | 2015-01-28 Archive pre-release https://doi.org/10.4232/1.12170 |
Version changes: Changes between version 3.0.0 and it's previous version
Changes between version 2.0.0 and it's previous version
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2017-12-11 | p6is | The coding for SIZE OF COMMUNITY in Iceland is highly questionable. When comparing frequencies for category 1 “Rural area” and category 3 “Cities/large urban area” with former waves and crosstabulating with REGION - ICELAND, these two categories appear to be exchanged. | 2018-01-04 The variable has been corrected by the Archive (recode p6is (1=3) (3=1)) in version v3-0-0. |
| 2017-12-06 | d8r1 | Recoded variable d8r1 is partly erroneous. Cases coded 74 to 96 indicate the specific age of the respondents when stopped full-time education (see source variable d8) and should be assigned to category 9 "22 years and older". The variable will be corrected with the next update. | 2018-01-04 variable corrected |
| 2017-08-29 | p13mk | Please note the reversed coding of p13mk, i.e. respondents who selected the Macedonian questionnaire are erroneously coded 2 ("Albanian") and respondents who selected the Albanian questionnaire are coded 1 ("Macedonian"). The variable will be corrected with the next update. | 2018-01-04 The variable has been corrected by the archive (recode p13mk (1=2) (2=1)) in version v3-0-0. |
| 2016-07-28 | p7at, p7at_r | Please notice that value label for code 6 in p7at should read "Kaernten (Carinthia)". As confirmed by TNS, the addition of Osttirol (Eastern Tyrol) as suggested by the original value label is not correct. Herewith variable p7at corresponds to the NUTS 2 classification for Austria. Variables labels should read: p7at “REGION - AUSTRIA NUTS 2” and p7at_r “REGION - AUSTRIA NUTS 1”. The value label and variable labels will be corrected with the next update. | 2018-01-04 value label and variable labels corrected |
| 2016-06-02 | p6tr | Starting with Eurobarometer 81.3 protocol variable P6 (SIZE OF COMMUNITY) has been standardized across countries applying the following category scheme: 1) Rural area; 2) Towns and suburbs/small urban area; 3) Cities/ large urban area. For TURKEY the data provided by TNS do not match with the new scheme, but most likely appear to match with the former 5-point scheme: 1) Less than 10.001 inhabitants; 2) 10.001 to 20.000 inhabitants; 3) 20.001 to 100.000 inhabitants; 4) 100.001 to 500.000 inhabitants; 5) More than 500.000 inhabitants. Currently applied value labels are not correct and non-matching data are coded to ´99´ (SYSTEM MISSING in the original data set). You might use SIZE OF COMMUNITY data for Turkey included in variable P6 (ALL COUNTRIES) with the “old” 5-point category scheme. | 2018-01-04 Variable p6tr has been reconstructed by the archive for dataset version v3-0-0 using SIZE OF COMMUNITY data for Turkey included in a former integrated variable P6 (ALL COUNTRIES) with the “old” 5-point category scheme. |
| 2015-02-11 | p13lu | The coding for LANGUAGE OF QUESTIONNAIRE in LUXEMBOURG is highly questionable. If comparing frequencies for GERMAN and FRENCH with former waves, these two categories appear to be exchanged. | 2018-01-04 The coding has been corrected by the archive. |
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2015-03-17 | d8 / d8r (AGE EDUCATION) | Data corrected by TNS, particularly in view of responses to "still studying". | 2015-03-17 TNS update |
| 2015-03-17 | qa12_6 | Responses for Cyprus TCC missing. | 2015-03-17 TNS update |
| 2015-03-17 | qd7.4 and qd7.14 | Responses for Germany East and West missing. | 2015-03-17 TNS update |
| 2015-02-02 | w3 w4 w5 w6 w7 w8 w9 w10 w11 w13 w14 w15 w18 w19 w24 w22 w94 w23 w16 w95 w96 w97 w92 w29 w30 w81 w82 w89 w90 w84 w93 w98 wex | All weights based on population size factors are defective in the present dataset version. | 2015-03-17 TNS update |
Errata in current version:
| Date | Name | Description |
|---|---|---|
| 2018-02-06 | p7ie_r | Please note that for country specific variable p7ie_r "REGION - IRELAND NUTS 2" the value 99 "Inap. (not IE in isocntry)" is erroneously not declared as USER MISSING in dataset version v3-0-0, the corresponding variable documentation in the Variable Report (codebook) and in the GESIS Online Study Catalogue (ZACAT). |
Publications: European Commission: Standard Eurobarometer 81. Spring 2014. European Citizenship. Survey conducted by TNS opinion & social at the request of the European Commission Directorate-General Communication. Survey coordinated by the European Commission, Directorate-General Communication "Strategy, Corporate Communication Actions and Eurobarometer" Unit. Brussels, July 2014., European Commission: Standard Eurobarometer 81. Spring 2014. Europeans, the European Union and the crisis. Survey conducted by TNS opinion & social at the request of the European Commission Directorate-General Communication. Survey coordinated by the European Commission, Directorate-General Communication "Strategy, Corporate Communication Actions and Eurobarometer" Unit. Brussels, July 2014., European Commission: Standard Eurobarometer 81. Spring 2014. Europe 2020. Survey conducted by TNS opinion & social at the request of the European Commission Directorate-General Communication. Survey coordinated by the European Commission, Directorate-General Communication "Strategy, Corporate Communication Actions and Eurobarometer" Unit. Brussels, July 2014., European Commission: Standard Eurobarometer 81. Spring 2014. Public opinion in the European Union. Survey conducted by TNS opinion & social at the request of the European Commission Directorate-General Communication. Survey coordinated by the European Commission, Directorate-General Communication "Strategy, Corporate Communication Actions and Eurobarometer" Unit. Brussels, July 2014., European Commission: Standard Eurobarometer 81. Spring 2014. Living conditions in the European Union. Survey conducted by TNS opinion & social at the request of the European Commission Directorate-General Communication. Survey coordinated by the European Commission, Directorate-General Communication "Strategy, Corporate Communication Actions and Eurobarometer" Unit. Brussels, July 2014.
Study group: EB - Standard and Special Eurobarometer
