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European Values Study 2017: Integrated Dataset (EVS 2017)

Version
3.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • EVS
Publication Date
2020-05-27
Contributor
  • Gedeshi, Ilir (Center for Economic and Social Studies (CESS), Tirana, Albania) (Researcher)
  • Kritzinger, Sylvia (Department of Government, University of Vienna, Vienna, Austria) (Researcher)
  • Poghosyan, Gevorg (Institute of Philosophy, Sociology and Law, Armenian National Academy of Sciences, Yerevan, Armenia) (Researcher)
  • Rotman, David (The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus) (Researcher)
  • Pachulia, Merab (SORGU, Baku, Azerbaijan) (Researcher)
  • Fotev, Georgy (Faculty for Social Wellbeing, New Bulgarian University, Sofia, Bulgaria) (Researcher)
  • Kolenović-Đapo, Jadranka (Faculty of Philosophy, University of Sarajevo, Bosnia and Herzegovina) (Researcher)
  • Rabušic, Ladislav (Faculty of Social Studies, Masaryk University, Brno, Czech Republic) (Researcher)
  • Baloban, Josip (Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia) (Researcher)
  • Frederiksen, Morten (Statistics Denmark, Copenhagen, Denmark) (Researcher)
  • Saar, Erki (Saar Poll, Tallinn, Estonia) (Researcher)
  • Ketola, Kimmo (Kirkon tutkimuskeskus, Tampere, Finland) (Researcher)
  • Wolf, Christof (Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany) (Researcher)
  • Pachulia, Merab (GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia) (Researcher)
  • Bréchon, Pierre (Institut d’études politiques de Grenoble, Grenoble, France) (Researcher)
  • Voas, David (Department of Social Science, University College London, Great Britain) (Researcher)
  • Rosta, Gergely (Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary) (Researcher)
  • Jónsdóttir, Guðbjörg A. (Social Science Research Institute, University of Iceland, Reykjavik, Iceland) (Researcher)
  • Rovati, Giancarlo (Department of Sociology, Catholic University of the Sacred Heart, Milan, Italy) (Researcher)
  • Ziliukaite, Ruta (Department of Sociology, Vilnius University, Lithuania) (Researcher)
  • Petkovska, Antoanela (Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia) (Researcher)
  • Komar, Olivera (De Facto Consultancy, Podgorica, Montenegro) (Researcher)
  • Reeskens, Tim (Department of Sociology, Tilburg University, Tilburg, Netherlands) (Researcher)
  • Jenssen, Anders T. (Department of Sociology and Political Science, Norwegian University of Science and Technology, Norway) (Researcher)
  • Soboleva, Natalia (Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia) (Researcher)
  • Marody, Mirosława (Institute of Sociology, University of Warsaw, Warsaw, Poland) (Researcher)
  • Voicu, Bogdan (Research institute for Quality of Life, Romanian Academy of Science, Bucharest, Romania) (Researcher)
  • Strapcová, Katarina (Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovak Republic) (Researcher)
  • Bešić, Miloš (Faculty of Political Sciences, University of Belgrade, Serbia) (Researcher)
  • Uhan, Samo (Faculty of Social Sciences, Public Opinion and Mass Communication Research, University of Ljubljana, Ljubljana, Slovenia) (Researcher)
  • Silvestre Cabrera, María (Faculty of Political Sciences and Sociology, Deusto University, Bilbao, Spain) (Researcher)
  • Wallman-Lundåsen, Susanne (Department of Social Sciences, Mid Sweden University, Sundsvall, Sweden) (Researcher)
  • Ernst Stähli, Michèle (FORS, Swiss Foundation for Research in Social Sciences, Université de Lausanne, Lausanne, Switzerland) (Researcher)
  • Center for Economic and Social Studies (CESS), Tirana, Albania (Data Collector)
  • InterRating CoLtd, Yerevan, Armenia (Data Collector)
  • Institut für empirische Sozialforschung (IFES) GmbH, Vienna, Austria (Data Collector)
  • Sorgu, Baku, Azerbaijan (Data Collector)
  • Centre for Sociological and Political Research, Belarusian State University, Minsk, Belarus (Data Collector)
  • Custom Concept d.o.o., Sarajevo, Bosnia and Herzegovina (Data Collector)
  • Alpha Research LTD, Sofia, Bulgaria (Data Collector)
  • Catholic University of Croatia, Zagreb, and GfK research Agency, Zagreb, Croatia (Data Collector)
  • STEM/MARK, a.s., Praha, Czech Republic (Data Collector)
  • Statistics Denmark - Survey, Copenhagen, Denmark (Data Collector)
  • AS Emor,Tallinn, Estonia (Data Collector)
  • Taloustutkimus Oy, Lemuntie 9, 00910 Helsinki, Finland (Data Collector)
  • KANTAR PUBLIC - TAYLOR NELSON SOFRES, Paris, France (Data Collector)
  • GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia (Data Collector)
  • Kantar Deutschland GmbH, Kantar Public, München, Germany (Data Collector)
  • NatCen Social Research, London, Great Britain (Data Collector)
  • Forsense, Budapest, Hungary (Data Collector)
  • Social Science Research Institute, SSRI, University of Iceland, Reykjavik, Iceland (Data Collector)
  • Doxa Spa, Milano, Italy (Data Collector)
  • Baltic Surveys, Vilnius, Lithuania (Data Collector)
  • DeFacto Consultancy, Podgorica, Montenegro (Data Collector)
  • I&O Research B.V., Enschede, Netherlands andCentERdata, Tilburg, Netherlands (Data Collector)
  • Faculty of Philosophy, Skopje, North Macedonia (Data Collector)
  • Statistics Norway, Oslo, Norway (Data Collector)
  • Centrum Badania Opinii Społecznej (Public Opinion Research Centre), Warszawa, Poland (Data Collector)
  • IRES: Institutul Roman pentru Evaluare si Strategie, Romania (Data Collector)
  • CESSI (Institute for comparative Social Research), Moscow, Russia (Data Collector)
  • Nina media, Novi Sad, Serbia (Data Collector)
  • Kantar TNS, Bratislava, Slovakia (Data Collector)
  • University of Ljubljana, Faculty of Social Science, Ljubljana, Slovenia (Data Collector)
  • MyWord Research SL, Madrid, Spain (Data Collector)
  • IPSOS Observer Sweden AB, Härnösand, Sweden (Data Collector)
  • M.I.S Trend S.A (Data Collector)
  • Lausanne, Switzerland (Face-to-face) andSwiss Centre for Expertise in the Social Sciences FORS c/o University of Lausanne, Lausanne, Switzerland (Web-mail) (Data Collector)
Language
German
Classification
  • ZA:
    • Political Attitudes and Behavior
    • Work and Industry
    • Society, Culture
    • Family
    • Religion and "Weltanschauung"
    • Person, Personality, Role
    • Natural Environment, Nature
  • CESSDA Topic Classification:
    • Labour and employment
    • Religion and values
    • Society and culture
    • Mass political behaviour, attitudes/opinion
    • Family life and marriage
    • Gender and gender roles
    • Environmental degradation/pollution and protection
Description
  • Abstract

    Morale, religious, societal, political, work, and family values of Europeans. Topics: 1. Perceptions of life: importance of work, family, friends and acquaintances, leisure time, politics and religion; happiness; self-assessment of own health; memberships in voluntary organisations (religious or church organisations, cultural activities, trade unions, political parties or groups, environment, ecology, animal rights, professional associations, sports, recreation, or other groups, none); active or inactive membership of humanitarian or charitable organisation, consumer organisation, self-help group or mutual aid; voluntary work in the last six months; tolerance towards minorities (people of a different race, heavy drinkers, immigrants, foreign workers, drug addicts, homosexuals, Christians, Muslims, Jews, and gypsies - social distance); trust in people; estimation of people´s fair and helpful behavior; internal or external control; satisfaction with life; importance of educational goals: desirable qualities of children. 2. Work: attitude towards work (job needed to develop talents, receiving money without working is humiliating, people turn lazy not working, work is a duty towards society, work always comes first); importance of selected aspects of occupational work; give priority to nationals over foreigners as well as men over women in jobs. 3. Religion and morale: religious denomination; current and former religious denomination; current frequency of church attendance and at the age of 12; self-assessment of religiousness; belief in God, life after death, hell, heaven, and re-incarnation; personal god vs. spirit or life force; importance of God in one´s life (10-point-scale); frequency of prayers; morale attitudes (scale: claiming state benefits without entitlement, cheating on taxes, taking soft drugs, accepting a bribe, homosexuality, abortion, divorce, euthanasia, suicide, paying cash to avoid taxes, casual sex, avoiding fare on public transport, prostitution, in-vitro fertilization, political violence, death penalty). 4. Family: trust in family; most important criteria for a successful marriage or partnership (faithfulness, adequate income, good housing, sharing household chores, children, time for friends and personal hobbies); marriage is an outdated institution; attitude towards traditional understanding of one´s role of man and woman in occupation and family (gender roles); homosexual couples are as good parents as other couples; duty towards society to have children; responsibility of adult children for their parents when they are in need of long-term care; to make own parents proud is a main goal in life. 5. Politics and society: political interest; political participation; preference for individual freedom or social equality; self-assessment on a left-right continuum (10-point-scale) (left-right self-placement); individual vs. state responsibility for providing; take any job vs. right to refuse job when unemployed; competition good vs. harmful for people; equal incomes vs. incentives for individual effort; private vs. government ownership of business and industry; postmaterialism (scale); most important aims of the country for the next ten years; willingness to fight for the country; expectation of future development (less importance placed on work and greater respect for authority); trust in institutions; essential characteristics of democracy; importance of democracy for the respondent; rating democracy in own country; satisfaction with the political system in the country; preferred type of political system (strong leader, expert decisions, army should rule the country, or democracy); vote in elections on local level, national level and European level; political party with the most appeal; another political party that most appeals; assessment of country´s elections (votes are counted fairly, opposition candidates are prevented from running, TV news favors the governing party, voters are bribed, journalists provide fair coverage of elections, election officials are fair, rich people buy elections, voters are threatened with violence at the polls); opinion on the government´s right to keep people under video surveillance in public areas, monitor all e-mails and any other information exchanged on the Internet, collect information about anyone living in the country without their knowledge; interest in politics in the media; concerned about the living conditions of people in the neighborhood, the people in the region, fellow countrymen, Europeans, all humans all over the world, elderly people, unemployed people, immigrants, sick and disabled people; societal aims (eliminating income inequalities, basic needs for all, recognizing people on merits, protecting against terrorism). 6. National Identity: trust in people from various groups (neighborhood, personally known people, people meet for the first time, people of another religion, and people of another nationality); geographical group the respondent feels belonging to (town, region of country, country, Europe, the world); citizenship; national pride; evaluation of the impact of immigrants on the country´s development; attitude towards immigrants and their customs and traditions (take away jobs, increase crime problems, strain on country´s welfare system, should maintain their distinct customs and traditions or take over customs); important aspects of national identity (to have been born in the country, to respect country´s political institutions and laws, to have country´s ancestry, to speak the national language, to share national culture); important aspects of being European (to have been born in Europe, to have European ancestry, to be a Christian, to share European culture); attitude towards the enlargement of the European Union. 7. Environment: attitude towards the environment (scale: willingness to give part of own income for the environment, too difficult to do much about the environment, more important things in life than environment protection, own activities are useless unless others do the same for the environment, claims about environmental threats are exaggerated); protecting the environment vs. economic growth. Demography: sex; age (year of birth); born in the country of interview; country of birth; year of immigration into the country; current legal marital status; living together with the partner before marriage or before the registration of partnership; living together with a partner; steady relationship; living together with parents or parents in law; number of children in the household and outside the household; number of people in the household (household size); age of the youngest person in the household; age at completion of education; highest educational level (ISCED); employment status; employment or self-employment in the last job; name or title of main job or last main job; profession (ISCO-08, SIOPS-08, ISEI-08, ESEC-08, EGP-11); number of employees (company size); supervising function and number of supervised people; occupational sector (Government or public institution, private business or industry, or private non-profit organization); unemployment longer than three months; dependency on social security during the last five years; scale of household income (weekly, monthly, annual). Information on partner/spouse: born in the country of interview; country of birth; highest educational level (ISCED); employment status; employment or self-employment in the last job; name or title of main job or last main job; profession (ISCO-08, SIOPS-08, ISEI-08, ESEC-08, EGP-11); number of employees (company size); supervising function and number of supervised people. Information on respondent’s parents: father and mother born in the country; country of birth of father and mother; scale of household income; highest educational level of father and mother (ISCED); employment status of father and mother when the respondent was 14 years old; occupational position of the main wage earner at respondent’s age of 14; characterization of the parents when respondent was 14 years old (scale: liked to read books, discussed politics at home with their child, liked to follow the news, had problems making ends meet, had problems replacing broken things). Interviewer rating: respondent´s interest during the interview. Additionally encoded: respondent-ID; casenumber-ID; survey year; start and end of fieldwork (year and month); country code (ISO 3166); country abbreviation; country and year of fieldwork (ISO 3166); mode of data collection; region (NUTS); city size (NUTS); date of the interview; time of the interview (start hour and start minute, end hour and end minute); language of interview; interviewer number; mixed mode and matrix design variables; duplication of cases after merging main and add-on datasets; Flag variable: inconsistencies; Flag variable: complete/incomplete case; household monthly net income (x1000), corrected for ppp in euros; weighting factors. Additional country specific variables are included in this national dataset.
Temporal Coverage
  • 2018-02-24 / 2018-06-24
    Albania
  • 2018-02-20 / 2018-04-30
    Armenia
  • 2018-01-08 / 2018-05-14
    Austria
  • 2018-11-10 / 2018-12-23
    Azerbaijan
  • 2018-02-01 / 2018-03-05
    Belarus
  • 2019-02-03 / 2019-06-14
    Bosnia and Herzegovina
  • 2017-11-11 / 2018-09-01
    Bulgaria
  • 2017-10-25 / 2018-02-16
    Croatia
  • 2017-09-17 / 2017-12-01
    Czech Republic
  • 2017-09-27 / 2018-01-31
    Denmark
  • 2018-05-17 / 2018-09-12
    Estonia
  • 2017-11-24 / 2018-07-10
    Finland
  • 2018-03-02 / 2018-08-16
    France
  • 2018-01-11 / 2018-03-18
    Georgia
  • 2017-10-23 / 2018-11-28
    Germany
  • 2018-02-12 / 2018-07-16
    Great Britain
  • 2018-02-24 / 2018-08-21
    Hungary
  • 2017-06-19 / 2018-04-04
    Iceland
  • 2018-09-24 / 2019-01-30
    Italy
  • 2017-12-08 / 2018-02-12
    Lithuania
  • 2019-07 / 2019-12
    Montenegro
  • 2017-08-31 / 2018-02-28
    Netherlands
  • 2018-08-22 / 2018-12-17
    Norway
  • 2018-12-10 / 2019-03-28
    North Macedonia
  • 2017-11-17 / 2018-02-08
    Poland
  • 2018-02-03 / 2018-05-05
    Romania
  • 2017-11-07 / 2017-12-25
    Russia
  • 2018-11-10 / 2018-12-21
    Serbia
  • 2017-09-26 / 2017-12-03
    Slovak Republic
  • 2017-09-30 / 2017-12-23
    Slovenia
  • 2017-11-28 / 2018-01-22
    Spain
  • 2017-09-27 / 2018-06-06
    Sweden
  • 2017-09-11 / 2018-02-22
    Switzerland
Geographic Coverage
  • Albania (AL)
  • Armenia (AM)
  • Austria (AT)
  • Azerbaijan (AZ)
  • Belarus (BY)
  • Bosnia and Herzegovina (BA)
  • Bulgaria (BG)
  • Croatia (HR)
  • Czech Republic (CZ)
  • Denmark (DK)
  • Estonia (EE)
  • Finland (FI)
  • France (FR)
  • Georgia (GE)
  • Germany (DE)
  • Great Britain (GB-GBN)
  • Hungary (HU)
  • Iceland (IS)
  • Italy (IT)
  • Lithuania (LT)
  • Montenegro (ME)
  • Netherlands (NL)
  • Macedonia, the Former Yugoslav Republic of (MK)
  • Norway (NO)
  • Poland (PL)
  • Romania (RO)
  • Russian Federation (RU)
  • Serbia (RS)
  • Slovakia (SK)
  • Slovenia (SI)
  • Sweden (SE)
  • Spain (ES)
  • Switzerland (CH)
Sampled Universe
The target population is defined as: individuals aged 18 or older (with no upper age limit) that have address of residence (not residential) in [country] within private households at the date of beginning of fieldwork (or in the date of the first visit to the household, in case of random-route selection). Research area: Albania (AL); Armenia (AM); Austria (AT); Azerbaijan (AZ); Belarus (BY); Bosnia and Herzegovina (BA); Bulgaria (BG); Croatia (HR); Czech Republic (CZ); Denmark (DK); Estonia (EE); Finland (FI); France (FR); Georgia (GE); Germany (DE); Great-Britain (GB-GBN); Hungary (HU); Iceland (IS); Italy (IT); Lithuania (LT); Montenegro (ME); Netherlands (NL); North Macedonia (MK); Norway (NO); Poland (PL); Romania (RO); Russian Federation (RU); Serbia (RS); Slovakia (SK); Slovenia (SI); Sweden (SE); Spain (ES); Switzerland (CH).
Sampling
The sampling procedures differ from country to country: Probability Sample: Multistage Sample Probability Sample: Simple Random Sample Representative single stage or multi-stage sampling of the adult population of the country 18 years old and older was used for the EVS 2017. Sample size was set as effective sample size: 1200 for countries with population over 2 million, 1000 for countries with population less than 2 million. 8 countries out of 16 deviated from the guidelines and planned with an effective sample size below the set threshold. Germany, Netherlands, Iceland and Switzerland, due to the mixed mode design, allocated only part (50% or more) of the effective sample size to the interviewer-administered mode. Sample design and other relevant information about sampling were reviewed by the EVS-Methodology Group (EVS-MG) and approved prior to contracting of fieldwork agency or starting of data collection. In case of on-field sampling EVS-MG proposed necessary protocols for documentation of the probabilities of selection of each respondent. The sampling was documented using the Sampling Design Form (SDF) delivered by the national teams (see the EVS2017 Methodological Guidelines, Sampling). The SDF includes the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it includes the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights.
Collection Mode
  • Face-to-face interview: CAPI/CAMI
  • Face-to-face interview: PAPI
  • Telephone interview: CATI
  • Self-administered questionnaire: Paper
  • Self-administered questionnaire: Web-based
  • Mode of collection: mixed mode Face-to-face interview: CAPI (Computer Assisted Personal Interview) Face-to-face interview: PAPI (Paper and Pencil Interview) Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview) Self-administered questionnaire: Paper In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the first pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI). The EVS 2017 Master Questionnaire was provided in English and each national Programme Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).
Data and File Information
  • Number of Variables: 463
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA7500 (Type: ZA-No.)
  • Internationale Umfrageprogramme (Type: FDZ)
Relations
  • Is new version of
    DOI: 10.4232/1.13314
  • Is new version of
    DOI: 10.4232/1.13090
Publications
  • The EVS Bibliography lists all kinds of publications using EVS data, based on national and cross-national analysis. The bibliography is an easy way to find relevant publications in the field of value studies. Moreover, some enhanced publications with information on the datasets, variables, and syntax codes of the concepts used are available. The EVS Bibliography can be found here [https://europeanvaluesstudy.eu/education-dissemination-publications/evs-publications/].

Update Metadata: 2020-05-27 | Issue Number: 1 | Registration Date: 2020-05-27

EVS (2020): European Values Study 2017: Integrated Dataset (EVS 2017). Version: 3.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13511